WebAssign is not supported for this browser version. Some features or content might not work. System requirements

WebAssign

Welcome, demo@demo

(sign out)

Tuesday, April 1, 2025 06:32 EDT

Home My Assignments Grades Communication Calendar My eBooks

Statistics by Learning Objective 0/e (Homework)

James Finch

Statistics, section 2, Fall 2019

Instructor: Dr. Friendly

Current Score : 10 / 105

Due : Sunday, January 27, 2030 23:30 EST

Last Saved : n/a Saving...  ()

Question
Points
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
3/3 1/20 4/5 1/1 1/1 0/1 –/3 –/3 0/3 –/1 –/4 –/3 –/5 –/21 –/18 –/2 –/3 –/8
Total
10/105 (9.5%)
  • Instructions

    Statistics by Learning Objective content is built around 200+ learning objectives organized by sections across 24 modules, enabling you to teach what you want to teach, how you want to teach, when you want to teach it. With the power of WebAssign, you have the flexibility to cherry-pick and organize these self-contained learning objectives to seamlessly align with your syllabus and teaching style. Real-world data sets, technology guides, 1400+ relevant examples and 2000+ assessments across a variety of major-specific interests provide the context students need to connect the dots to the statistical concepts at hand.

    New for Spring 2021! Question 1 is an example of a Concept Video Question. (CV) Concept Video questions provide students with a Concept Video along with two to three comprehension questions. Concept Videos are 7-10 minutes in length and are designed to help students with big picture understanding of statistics.

    New for Spring 2021! Question 2 is an example of a new Select Your Scenario question type. (SYS) Select Your Scenario problems provide students with 3 different contexts to choose from. They select the scenario most relevant to them, and then solve the problem. Regardless of which scenario the student chooses, they will be required to answer questions demonstrating knowledge of a learning objective, making them the perfect questions to assign toward the end of a chapter. Students can use SALT to answer this question.

    Question 3 demonstrates the use of videos displayed within a question. It also shows a unique two-part accordion-style type of display.

    Question 4 includes a solution/explanation that can be displayed for the student after the assignment is completed.

    Question 5 highlights the use of multiple-choice-style answers.

    Question 6 is an example of a problem that uses randomized values so that each student gets a slightly different version of the problem. It also shows a multiple choice grading method involving a pulldown menu.

    Question 7 is a good demonstration of the numerical type of answer grading. For the first answer, the student will be graded as correct as long as they provide an answer that is rounded to no less than two decimal places. More exact answers will also be accepted. For the second answer, only an exact answer will be graded as correct.

    Question 8 is similar to Question 5 except that only exact answers are accepted. Note that use of randomized values and the inclusion of a solution/explanation that is displayed to the student after the assignment has been completed.

    Question 9 demonstrates the ability to link out to tables or technology tools within the body of a question.

    Question 10 highlights the ability to grade short answer style questions automatically using multiple choice.

    Question 11 includes many of the features previously demonstrated, but all in a single question, which highlights the versatility of the system. Students can use SALT to answer this question.

    Question 12 is an example of a Concept Question.

    Question 13 is an example of a question utilizing the JMP Applet.

    Question 14 is an example of a Statistical Lab.

    Questions 15 through 18 highlight one way statistical research projects can be presented and tracked. This demo assignment allows many submissions and allows you to try another version of the same question for practice wherever the problem has randomized values.

    The answer key and solutions will display after the first submission for demonstration purposes. Instructors can configure these to display after the due date or after a specified number of submissions.

Assignment Submission

For this assignment, you submit answers by question parts. The number of submissions remaining for each question part only changes if you submit or change the answer.

Assignment Scoring

Your last submission is used for your score.

1. 3/3 points  |  Previous Answers StatsByLO1 1.CE.001.CV. My Notes
Question Part
Points
Submissions Used
1 2 3
1/1 1/1 1/1
1/100 1/100 3/100
Total
3/3
 
Watch the video below then answer the questions that follow.
  1. What is the first step in the statistical research process?
         Correct: Your answer is correct.
  2. It is important to have very strong math skills in order to be successful in a statistics course.
         Correct: Your answer is correct.
  3. Statistics is used in which of the following industries?
         Correct: Your answer is correct.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
2. 1/20 points  |  Previous Answers StatsByLO1 12.SYS.002.S. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
1/1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1
1/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100
Total
1/20
 
Select Your Scenario:
This problem contains data for 3 different scenarios: Travel and Tourism, Business, and Sports.
Read the scenarios, and once finished, you will be asked to select which scenario you would like to be assessed on.
You will not be asked to answer questions for the other 2 scenarios.
When you travel by airplane, have you ever wondered about whether your flight might be delayed from taking off or from landing? This is an important consideration as you will need to arrange transportation to your final destination after you arrive at the airport. To help track airline performance, the U.S. Bureau of Transportation Statistics of the Department of Transportation publishes statistics. For the purposes of this dataset, a flight is considered delayed if it arrived at (or departed from) the gate 15 minutes or more after the scheduled arrival (or departure) time as reflected in the Computerized Reservation System.
We will explore the distribution of monthly percentage of domestic flights delayed in the United States using a sample of data for the years 2010 through 2019 by making a histogram with bins starting at 9% and a bin width of 3%. We will then determine the z-scores for a delayed percentage of (a) 14% and (b) 27%.
The dataset consists of the percentage of flights delayed for each month for years 2010 through 2019 for domestic flights in the United States.
Airline Performance: Bureau of Transportation Statistics. (2020, September 1). On-Time Performance - Flight Delays at a Glance. United States Department of Transportation. https://www.transtats.bts.gov/HomeDrillChart.asp
Year Month Delayed (%)
2010 January 18.58
2010 February 19.66
2010 March 18.3
2010 April 13.83
2010 May 18.55
Undergraduate business students at a public university in the midwestern United States ran a café one semester and collected data each business day to help make sound business decisions and to be more profitable. Among other things, the daily total cash register sales were recorded.
We will explore the distribution of daily total sales for this café using a sample of data from one semester by making a histogram of Sales ($) with bins starting at $60 and a bin width of $25. We will then determine the z-scores for a day when total sales were (a) $190 and (b) $90.
The dataset consists of data recorded across one semester including an index number that puts the observations in chronological order, the day of the week, and the total sales in dollars.
http://jse.amstat.org/jse_data_archive.htm
Index Day of Week Sales($)
1 Tuesday 199.95
2 Wednesday 195.74
3 Thursday 102.68
4 Friday 162.88
5 Monday 101.76
It goes without saying that professional basketball players are tall. Height obviously matters when it comes to playing basketball and tall people are more efficient because they can reach the basket easily, allowing for more points per game, as well as more rebounds and blocked shots. If you watch National Basketball Association (NBA) games regularly, you certainly notice that many players are quite tall.
We will explore the distribution of NBA player heights using a sample of players active in the 2019-2020 season by making a histogram of "HEIGHT (INCHES)" with bins stating at 68 inches and a bin width of 2 inches. We will then determine the z-scores for players who are (a) 73 inches (6'1") and (b) 84 inches (7'0").
The dataset consists of the NBA player's name, team, and height, measured in inches, for players active in the 2019-2020 season.
https://www.nba.com/stats/players/bio/
Player Team Height (Inches)
Aaron Gordon ORL 80
Aaron Holiday IND 73
Abdel Nader OKC 77
Adam Mokoka CHI 77
Admiral Schofield WAS 77
Click the link below to begin the question by choosing a topic.
Pick your topic.
Choose the topic on which you would like to be assessed. Once you select your scenario, you cannot change your topic.
     Correct: Your answer is correct.
Note: If you select Skip, you will be assessed on the Travel and Tourism topic.
Question
Select Your Scenario:
First, select the tab that corresponds to the topic you chose above.
Note: Click the SALT button in the tab corresponding to the topic you chose.
When you travel by airplane, have you ever wondered about whether your flight might be delayed from taking off or from landing? This is an important consideration as you will need to arrange transportation to your final destination after you arrive at the airport. To help track airline performance, the U.S. Bureau of Transportation Statistics of the Department of Transportation publishes statistics. For the purposes of this dataset, a flight is considered delayed if it arrived at (or departed from) the gate 15 minutes or more after the scheduled arrival (or departure) time as reflected in the Computerized Reservation System.
We will explore the distribution of monthly percentage of domestic flights delayed in the United States using a sample of data for the years 2010 through 2019 by making a histogram with bins starting at 9% and a bin width of 3%. We will then determine the z-scores for a delayed percentage of (a) 14% and (b) 27%.
The dataset consists of the percentage of flights delayed for each month for years 2010 through 2019 for domestic flights in the United States.
Airline Performance: Bureau of Transportation Statistics. (2020, September 1). On-Time Performance - Flight Delays at a Glance. United States Department of Transportation. https://www.transtats.bts.gov/HomeDrillChart.asp
Year Month Delayed (%)
2010 January 18.58
2010 February 19.66
2010 March 18.3
2010 April 13.83
2010 May 18.55
Import the dataset into SALT for analyzing.
A button hyperlink to the SALT program that reads: Use SALT.
Undergraduate business students at a public university in the midwestern United States ran a café one semester and collected data each business day to help make sound business decisions and to be more profitable. Among other things, the daily total cash register sales were recorded.
We will explore the distribution of daily total sales for this café using a sample of data from one semester by making a histogram of Sales ($) with bins starting at $60 and a bin width of $25. We will then determine the z-scores for a day when total sales were (a) $190 and (b) $90.
The dataset consists of data recorded across one semester including an index number that puts the observations in chronological order, the day of the week, and the total sales in dollars.
http://jse.amstat.org/jse_data_archive.htm
Index Day of Week Sales($)
1 Tuesday 199.95
2 Wednesday 195.74
3 Thursday 102.68
4 Friday 162.88
5 Monday 101.76
Import the dataset into SALT for analyzing.
A button hyperlink to the SALT program that reads: Use SALT.
It goes without saying that professional basketball players are tall. Height obviously matters when it comes to playing basketball and tall people are more efficient because they can reach the basket easily, allowing for more points per game, as well as more rebounds and blocked shots. If you watch National Basketball Association (NBA) games regularly, you certainly notice that many players are quite tall.
We will explore the distribution of NBA player heights using a sample of players active in the 2019-2020 season by making a histogram of "HEIGHT (INCHES)" with bins stating at 68 inches and a bin width of 2 inches. We will then determine the z-scores for players who are 73 inches (6'1") and (b) 84 inches (7'0").
The dataset consists of the NBA player's name, team, and height, measured in inches, for players active in the 2019-2020 season.
https://www.nba.com/stats/players/bio/
Player Team Height (Inches)
Aaron Gordon ORL 80
Aaron Holiday IND 73
Abdel Nader OKC 77
Adam Mokoka CHI 77
Admiral Schofield WAS 77
Import the dataset into SALT for analyzing.
A button hyperlink to the SALT program that reads: Use SALT.
After you have clicked the tab for your selected topic and read the problem, answer the questions below.
(a)
Use SALT to summarize the data and fill in the following table, rounding values to four decimal places as needed.
Variable N Mean Standard Deviation Median Minimum Value Maximum Value
Numerical Variable
(b)
Create a histogram with "Starting Point" and "Bin/Class Width" values asked for.
The distribution for this variable mound shaped and at least roughly symmetric.
(c)
Determine the relative standing for the two data values of interest using the z-score formula appropriate for samples. Round your answers to two decimal places.
Data value (a).
z = 
x x
s
 
 = 
Data value (b).
z = 
x x
s
 
 = 
Data value (a) is standard deviations the mean whereas data value (b) is standard deviations the mean. (Remember to take the absolute value of the z-score to determine the number of standard deviations each data value is away from the mean.)
(d)
Most data points are within three standard deviations of the mean. In other words, most observations will have a z-score that is larger than 3 and less than 3.
Find the data value with a z-score of 3, rounded to two decimal places.
x = z · s + x
 = 
Find the data value with a z-score of 3, rounded to two decimal places.
x = z · s + x
 = 
Our sample's minimum value further than 3 standard deviations below the mean. Our sample's maximum further than 3 standard deviations above the mean. Upon further inspection of the histogram in SALT it can be observed that observations would have a z-score between 3 and 3.


Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
3. 4/5 points  |  Previous Answers StatsByLO1 7.CE.001.SIP. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5
1/1 0/1 1/1 1/1 1/1
1/100 2/100 1/100 1/100 1/100
Total
4/5
 

Stats in Practice: Elementary Probability Theory

  • Part I - Multiple Choice Questions

    The video indicates which of the following is an acceptable alternative to washing your hands for 20 seconds with respect to preventing illness?
         Correct: Your answer is correct.
    Correct. This is directly from the video. It says, "If you do not have access to a sink, using hand sanitizer with at least 60% alcohol can also fight germs."
    The video urges people to wash their hands to reduce the likelihood (that is, the probability) of contracting diseases. What does this imply?
         Incorrect: Your answer is incorrect.

    Incorrect. The video does not say that washing your hands prevents disease with certainty, nor does it say that if you fail to wash your hands, you will contract a disease with certainty. In probability, an event that is certain has a probability of 1, while an event that will not occur, with certainty, has a probability of 0. This video was about reducing the likelihood of contracting diseases, so the implication is that if you wash your hands, your probability of contracting of disease is lower than if you did not wash your hands. This does not mean, however, that if you contracted a disease, you necessarily did not wash your hands.
    Suppose a student has had one illness in the last month, but her roommate has had two. With no other information about this student or her roommate, given the information in this video, what is your best guess about the student's and her roommate's hand-washing habits?
         Correct: Your answer is correct.
    Correct. Your "best guess" should be the answer that you think is most likely. That is, the event with the higher probability. A probability describes the likelihood of an event occurring given all the information known about the event. In this case, all you know is that one student had one more illness than the other. The video actually says that washing hands prevents your "catching a bug" but later, when it discusses transmission of disease, it is not clear whether the benefit of hand-washing is to prevent you from getting sick, prevent you from getting someone else sick, or both. Since these students are roommates, either of these answers can constitute a "best guess." For example, you may believe that the person who does the worse job of washing her hands is the one who has more illnesses. Alternatively, you may believe that perhaps each student contracted a different illness outside of their shared room. Then, the student who did a worse job of washing her hands transferred her illness to her roommate, while the other one did not. That would mean, in this case, that the student who does the worse job and hand-washing has the fewest illnesses!
    Suppose you have already had a disease, D, and doctors tell you that you cannot contract it again. Assuming the doctors are correct, which of the following probability statements about your contracting the disease is correct, where
    P(D)
    stands for "the probability of contracting the disease"? (Hint: A probability is a value between 0 and 1, where 0 means that the event will not occur with certainty and 1 means the event will occur, with certainty.)
         Correct: Your answer is correct.
    Correct. If you cannot, with certainty, contract the disease, then the probability of your contracting that disease is 0.
  • Part II - Discussion Question

    The video claims that washing your hands saves more lives than any vaccine. Does this necessarily imply that the probability of contracting a disease, given you wash your hands, is lower than the probability of contracting a disease, given you are vaccinated?

    Score: 1 out of 1

    Comment:

Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
4. 1/1 points  |  Previous Answers StatsByLO1 1.1A.002. My Notes
Question Part
Points
Submissions Used
1
1/1
3/100
Total
1/1
 
The 70-year long-term record for weather shows that for a particular state, annual precipitation has a mean of 39.61 inches and a standard deviation of 4.33 inches.
The phrase "mean of 39.61 inches" is an example of which of the following types of statistics?
     Correct: Your answer is correct.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
5. 1/1 points  |  Previous Answers StatsByLO1 2.1B.002. My Notes
Question Part
Points
Submissions Used
1
1/1
1/100
Total
1/1
 
Consider the implications of an experiment.
Determine whether the following statement is true or false.
For observational studies, it is possible to both reach cause and effect conclusions and generalize from the sample to the population of interest, since the study design incorporates random selection.
     Correct: Your answer is correct.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
6. 0/1 points  |  Previous Answers StatsByLO1 3.1A.004. My Notes
Question Part
Points
Submissions Used
1
0/1
1/100
Total
0/1
 
Given a population of size 445, how many digits should be read at a time in the random number table?
For a population of size 445, Incorrect: Your answer is incorrect. The number of digits used in the table needs to match the number of digits in the population. digits should be read at a time in the random number table.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
7. /3 points StatsByLO1 4.3E.007.DS. My Notes
Question Part
Points
Submissions Used
1 2 3
/1 /1 /1
0/100 0/100 0/100
Total
/3
 
Given a presidential opinion poll in the fall of 2016, the number of people who said they would vote for Donald Trump as president of the United States of America was noted. The question was asked to seven groups of 100 people, and the number of people who responded "yes" was recorded. The data are as follows.
43, 52, 52, 56, 59, 63, 69
A separate study asked seven different groups of 100 people if they would vote for Hillary Clinton. The mean number of people that said "yes" was 48, and the standard deviation was 12 people.
(a)
What is the coefficient of variation for the number of people who said they would vote for Donald Trump? (Round your answer to two decimal places.)
%
(b)
What is the coefficient of variation for the number of people who said they would vote for Hillary Clinton?
%
(c)
Which candidate had greater variability in the expected number of votes, as measured by the coefficient of variation?
    
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
8. /3 points StatsByLO1 7.1I.008.CH. My Notes
Question Part
Points
Submissions Used
1 2 3
/1 /1 /1
0/100 0/100 0/100
Total
/3
 
A nutritionist estimates that 65% of her patients stick to the eating plan she helps them design. She also knows that 55% of her patients are diabetic. Additionally she knows that 19.25% of her patients are diabetic and are not sticking to the eating plan she helped them design.
(a)
What proportion of her patients are not sticking to the eating plan she helped them design?
(b)
What proportion of her patients are diabetic?
(c)
Within the nutritionist's patients, being diabetic and not sticking to the eating plan she helped design are which of the following?
    
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
9. 0/3 points  |  Previous Answers StatsByLO1 17.1C.008. My Notes
Question Part
Points
Submissions Used
1 2 3
0/1 0/1 0/1
1/100 1/100 1/100
Total
0/3
 
A herd of 1500 cattle was fed a special high-protein grain for a month. A random sample of 50 cattle was weighed and had gained an average of 7.4 pounds. If the standard deviation of weight gain for the entire herd is 5.3 pounds, test the hypothesis that the average weight gain per cow for the month was more than 7 pounds.
  • Null Hypothesis:
    H0: μ = 7
  • Alternative Hypothesis:
    Ha: μ > 7
(a)
Calculate the test statistic. (Round your answer to two decimal places.)
z = Incorrect: Your answer is incorrect.
z =
x μ
σ/
n
(b)
Calculate the P-value. (Use a table or technology. Round your answer to four decimal places.)
Incorrect: Your answer is incorrect.
Decide what the symbol in the alternative hypothesis is and then use the Standard Normal Probabilities Table or technology.
(c)
Based on
α = 0.05,
what is the correct conclusion for the hypothesis test?
     Incorrect: Your answer is incorrect.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
10. /1 points StatsByLO1 17.TB.030. My Notes
Question Part
Points
Submissions Used
1
/1
0/100
Total
/1
 
A researcher is predicting that a treatment will increase scores. If this treatment is evaluated using a directional hypothesis test, then the critical region for the test would be the following.
    
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
11. /4 points StatsByLO1 17.1D.009.CHDS.S. My Notes
Question Part
Points
Submissions Used
1 2 3 4
/1 /1 /1 /1
0/100 0/100 0/100 0/100
Total
/4
 
The heights of young men are approximately normally distributed, with a mean of 69.7 inches. A random sample of heights from young men at a large university in the Midwest are listed below (in inches).
73 65 72 75 67 77 69 71 72 71 69
A button hyperlink to the SALT program that reads: Use SALT.
These data were used to calculate the sample mean and standard deviation.
n = 11    x = 71    s = 3.4351
Is there sufficient evidence to say that the mean height for young men at the university is larger than average?
(a)
State the appropriate null and alternative hypotheses.
H0:
μ 69.7
Ha:
μ 69.7
(b)
Calculate the test statistic. (Round your answer to two decimal places.)
t =
(c)
Based on
α = 0.05,
what is the correct conclusion for the hypothesis test? (Use a table or SALT.)
    

Need Help? Watch It

Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
12. /3 points StatsByLO1 18.1A.102.CQ. My Notes
Question Part
Points
Submissions Used
1 2 3
/1 /1 /1
0/100 0/100 0/100
Total
/3
 
Concept Question
This question is related to testing the difference of two population means.
Part 1 of 3
State the null and alternative hypotheses for the following claims.
(i)
The difference in the mean amounts spent for textbooks at a private college versus that at a public college is at least $300.
(ii)
The mean length of girls' names is no more than the mean length of boys' names.
(iii)
The mean of population A is less than 50 more than the mean of population B.

This answer has not been graded yet.



Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
13. /5 points StatsByLO1 4.JMP.009. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5
/1 /1 /1 /1 /1
0/100 0/100 0/100 0/100 0/100
Total
/5
 
The population (in thousands) of 52 cities was collected and the graph and summary statistics of this data are given in the JMP Applet.
  • Cities' populations

    CITY POP
    ALBANY 846
    ALBUQUERQUE 486
    ATLANTA 2657
    ATLANTIC CITY 303
    BALTIMORE 2303
    BOSTON 2842
    BURLINGTON 127
    CHARLESTON 502
    CHARLOTTE 1091
    CHEYENNE 76
    CHICAGO 6199
    CINCINNATI 1438
    CLEVELAND 1851
    CITY POP
    DENVER 1645
    DES MOINES 385
    DETROIT 4362
    DUBUQUE 91
    GALVESTON-T.C. 211
    HARRISBURG 584
    HARTFORD 748
    HOUSTON 3228
    HUNTINGTON 323
    INDIANAPOLIS 1229
    JACKSON 396
    JACKSONVILLE 878
    LOS ANGELES 8505
    CITY POP
    LOUISVILLE 967
    MADISON 347
    MIAMI 1791
    MILWAUKEE 1389
    MINNEAPOLIS 2336
    MOBILE 438
    MONTGOMERY 297
    NASHVILLE 956
    NEW ORLEANS 1321
    NEW YORK 8529
    NORFOLK 1346
    OKLAHOMA CITY 975
    OMAHA 616
    CITY POP
    PHILADELPHIA 4866
    PHOENIX 1960
    PORTLAND 210
    PORTLAND 1168
    RALEIGH 665
    SALT LAKE CITY 1055
    SAN FRANCISCO 1590
    SEATTLE 1796
    SPOKANE 355
    ST. LOUIS 2458
    WASHINGTON 3646
    WICHITA 475
    WILMINGTON 559
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
14. /21 points StatsByLO1 17.Lab.001. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
/1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1
0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100
Total
/21
 

Statistical Lab

  • Background

    The Pew Research Center conducted surveys pertaining to relationships and how relationships are affected by the Internet in 2005 and a similar follow-up survey in 2013. A portion of the surveys focused on online dating.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
15. /18 points StatsByLO1 PJT.1.001. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
/1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1
0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100
Total
/18
 

Milestone 1: Research Design

  • Question 1

    What is your research question?
    Your research question should be based on a topic that interests you and that you can reasonably obtain data for. Try to make your research question as specific as possible. Form a research question about a population that you will be able to sample. Some examples of research questions are: "Are students at my college able to taste the difference between regular coffee and decaffeinated coffee?", "Does the GPA, age, and number of credits needed for graduation for juniors at my university differ between transfer students and non-transfer students?", "Have the new water rates in my water district changed residents' water usage habits?", and "Do recent graduates from the business department at my university get larger starting salaries on average if they have participated in a summer internship?"

    This answer has not been graded yet.

Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
16. /2 points StatsByLO1 PJT.1.002. My Notes
Question Part
Points
Submissions Used
1 2
/1 /1
0/100 0/100
Total
/2
 

Milestone 2: Gather Data

    Please select ONE method for gathering data.
  • Method 1 - Create your own dataset.

    Create a survey:
    What are your main questions? Will the responses to your questions provide answers to your research question? Be conscious of the language you useyou don't want the phrasing of your question to influence the responses. Are there any follow-up questions? Do your questions ensure that you will have values for all of your variables? Are your questions multiple choice or free response? If some of your questions are free response, will you be able to analyze this data using the methods you have learned? Be conscious of how much time a respondent will spend answering your survey.
    Gather data:
    Use your sampling plan as a guide for collecting your data, always keeping your population of interest in mind.
    The file will be uploaded when you submit. (Submit a file with a maximum size of 1 MB.)

    This answer has not been graded yet.

Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
17. /3 points StatsByLO1 PJT.1.003. My Notes
Question Part
Points
Submissions Used
1 2 3
/1 /1 /1
0/100 0/100 0/100
Total
/3
 

Milestone 3: Analyze Data

  • Question 1

    Get to know your data using the statistical software of your choosing, e.g., Excel, JMP, Minitab, R, SPSS, TI-Calculator, etc.
    Organize, summarize, and plot your data. The type of summaries and plots will depend on the type of data you have. For categorical data, you'll perhaps want to look at bar charts. For numeric data, you'll perhaps want to look at scatterplots or histograms. Look for any values that seem unusually high or low. Double check to make sure there aren't typos.
Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
18. /8 points StatsByLO1 PJT.1.004. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5 6 7 8
/1 /1 /1 /1 /1 /1 /1 /1
0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100
Total
/8
 

Milestone 4: Present Results

Please select ONE option for presenting your results: a written report or video presentation.
Your written report or video presentation must include the FIVE sections below.
  1. Introduction
    Introduce your research question. You might want to describe why you chose this topic. The goal of the introduction is to explain "Why should we care?"
  2. Methodology
    Describe how you formulated your null and alternative hypothesis based on your research question. Describe how you collected your sample. Describe any challenges faced and how you overcame them. Describe what methods you used to analyze your data. Did you run into any challenges? Did you have to change your methods due to quirks in the data? Were there outliers in your data? If so, what did you do with them? Was any of your data from a group that was not representative of the population of interest? If so, what did you do with this data?
  3. Interpretation
    Did you find a statistically significant result? What does this say about the population of interest? If it's statistically significant, is it also practically significant? Explain and consider using confidence intervals or some other measure of effect size to justify your answer. If you did not find a statistically significant result, describe why you think you didn't find one. Discuss potential errors that might have been made during the sampling and/or analysis. What are the consequences of these errors?
  4. Conclusions and Future Research
    Wrap up by describing your findings in the context of your research question. What did you learn about your research question and research in general? If you were to do this project over again, what would you do differently given what you have learned? If you or another researcher were to carry out additional research on this topic, what would your advice to them be? What are some possible next steps or follow-up research questions?
  5. References
    Provide references for any sources you used in the project. This includes articles you might have read or data sources you used to help you create this project.
  • Written Report

    Attach a written report (.TXT, .DOC, or .DOCX files accepted) or use the template below.
    The file will be uploaded when you submit. (Submit a file with a maximum size of 1 MB.)

    This answer has not been graded yet.

    1.
    Introduction

    This answer has not been graded yet.

    2.
    Methodology

    This answer has not been graded yet.

    3.
    Interpretation

    This answer has not been graded yet.

    4.
    Conclusions and Future Research

    This answer has not been graded yet.

    5.
    References

    This answer has not been graded yet.

Your work in question(s) will also be submitted or saved.
Viewing Saved Work Revert to Last Response
Enter an exact number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter a number.
Enter an exact number.
Enter a number.