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Brase and Brase - Understandable Statistics 12/e (Homework)

James Finch

Statistics, section 2, Fall 2019

Instructor: Dr. Friendly

Current Score : 19 / 113

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
3/3 4/20 –/15 2/3 1/1 0/4 –/8 –/4 –/10 –/5 –/1 2/4 –/1 7/7 –/9 –/18
Total
19/113 (16.8%)
  • Instructions

    Understandable Statistics: Concepts and Methods, 12th edition, by Brase and Brase and published by Cengage Learning is a thorough yet accessible program designed to help readers overcome their apprehensions about statistics. To reinforce this approach, and make the material interesting as well as easier to understand, the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet.

    The WebAssign component for this title has an eBook, Tutorials, and Reading Links for the students. The instructor will enjoy additional textbook resources as well as Course Packs to help make creating homework assignments fast and easy.

    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 showcases the ability to grade stem-and-leaf plots.

    Question 4 is an example of how box-and-whisker plots are graded.

    Question 5 requires the student to select all correct answers simultaneously.

    Question 6 includes examples of how histogram plots are graded. Students can use SALT to answer this question.

    Question 7 utilizes algebraic mode in the last portion of part (a). The student will be graded as correct if they enter a mathematically correct response using the mathPad.

    Question 8 provides an example of one method of grading equations.

    Question 9 is a multi-part question involving hypothesis testing. This sort of question is very common for this title.

    Question 10 showcases the ability to grade student responses using fill-in-the-blank sentences. Grading the answers this way avoids essay mode while still requiring the student to demonstrate that the key points are understood. Students can use SALT to answer this question.

    Question 11 includes a Watch-It. Students can use SALT to answer this question.

    Question 12 is a Stats in Practice Question that demonstrates the use of videos displayed within a question, followed by multiple-choice and discussion questions in a unique two-part accordion-style type of display.

    Question 13 is a Test Bank question that highlights the ability to grade short answer style questions automatically using multiple choice.

    Question 14 is a Simulation Question utilizing the JMP Applet.

    Question 15 is an example of a Statistical Lab.

    Question 16 highlights Milestone 1, the first step in presenting and tracking Project Milestones for a statistical research project. 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 BBUnderStat12 1.CE.001.CV. My Notes
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1 2 3
1/1 1/1 1/1
2/100 1/100 1/100
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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.
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2. 4/20 points  |  Previous Answers BBUnderStat12 6.3.SYS.002.S. My Notes
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
1/1 0/1 0/1 0/1 0/1 0/1 0/1 1/1 1/1 0/1 0/1 0/1 0/1 0/1 0/1 0/1 0/1 1/1 0/1 0/1
1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100 1/100
Total
4/20
 
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) 17% 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) $200 and (b) $100.
The dataset consists of data recorded across one semester including an index number that puts the observations in chronological order, the day of the week, and the total sales in dollars.
http://jse.amstat.org/jse_data_archive.htm
Index Day of Week Sales($)
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) 85 inches (7'1").
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) 17% 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) $200 and (b) $100.
The dataset consists of data recorded across one semester including an index number that puts the observations in chronological order, the day of the week, and the total sales in dollars.
http://jse.amstat.org/jse_data_archive.htm
Index Day of Week Sales($)
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) 85 inches (7'1").
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.


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3. /15 points BBUnderStat12 2.3.003. My Notes
Question Part
Points
Submissions Used
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
/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
Total
/15
 
The American Medical Association Center for Health Policy Research included data, by state, on the number of community hospitals and the average patient stay (in days) in its publication State Health Care Data: Utilization, Spending, and Characteristics. The data (by state) are shown in the table.
State No. of
Hospitals
Average
Length
of Stay
State No. of
Hospitals
Average
Length
of Stay
State No. of
Hospitals
Average
Length
of Stay
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
D.C.
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
119
16
61
88
440
71
35
8
11
227
162
19
41
209
113
123
133
7.0
5.7
5.5
7.0
6.0
6.8
7.4
6.8
7.5
7.0
7.2
9.4
7.1
7.3
6.6
8.4
7.8
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
N. Carolina
107
136
38
51
101
175
148
102
133
53
90
21
27
96
37
231
117
6.9
6.7
7.2
6.8
7.0
7.3
8.7
7.2
7.4
10.0
9.6
6.4
7.0
7.6
5.5
9.9
7.3
N. Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
S. Carolina
S. Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
W. Virginia
Wisconsin
Wyoming
47
193
113
66
236
12
68
52
122
421
42
15
98
92
59
129
27
11.1
6.6
6.7
5.3
7.5
6.9
7.1
10.3
6.8
6.2
5.2
7.6
7.0
5.6
7.1
7.3
8.5
Make a stem-and-leaf display of the data for the average length of stay in days. (Use the digit(s) to the left of the decimal point as the stem and the digit to the right as the leaf. Enter NONE in any unused answer blanks.)
Average Length of Hospital Stay













Comment about the general shape of the distribution.
    

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4. 2/3 points  |  Previous Answers BBUnderStat12 3.3.009. My Notes
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1/1 0/1 1/1
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2/3
 
What percentage of the general U.S. population have bachelor's degrees? The Statistical Abstract of the United States, 120th Edition, gives the percentage of bachelor's degrees by state. For convenience, the data are sorted in increasing order.
17 18 18 18 19 20 20 20 21 21
21 21 22 22 22 22 22 22 23 23
24 24 24 24 24 24 24 24 25 26
26 26 26 26 26 27 27 27 27 27
28 28 29 31 31 32 32 34 35 38
(a) Select the box-and-whisker plot.

Correct: Your answer is correct.
(b) Find the interquartile range.
IQR = Incorrect: Your answer is incorrect. seenKey

5



(c) Illinois has a bachelor's degree percentage rate of about 26%. Into what quarter does this rate fall?
     Correct: Your answer is correct.
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5. 1/1 points  |  Previous Answers BBUnderStat12 4.1.001. My Notes
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1/1
 
List three methods of assigning probabilities. (Select all that apply.)
Correct: Your answer is correct.

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6. 0/4 points  |  Previous Answers BBUnderStat12 5.3.013.S. My Notes
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0/4
 
A company is in the business of finding addresses of long-lost friends. The company claims to have a 70% success rate. Suppose that you have the names of nine friends for whom you have no addresses and decide to use the company to track them.
A button hyperlink to the SALT program that reads: Use SALT.
(a) Make a histogram showing the probability of r = 0 to 9 friends for whom an address will be found.

Incorrect: Your answer is incorrect.

(b) Find the mean and standard deviation of this probability distribution. What is the expected number of friends for whom addresses will be found? (Round your standard deviation to two decimal places.)
μ = Incorrect: Your answer is incorrect. seenKey

6.3

friends
σ = Incorrect: Your answer is incorrect. seenKey

1.37

friends

(c) What is the smallest number of names would you have to submit to be at least 96% sure that at least two addresses will be found? (Enter your answer as a whole number.)
Incorrect: Your answer is incorrect. seenKey

5

names

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/8
 
At Burnt Mesa Pueblo, in one of the archaeological excavation sites, the artifact density (number of prehistoric artifacts per 10 liters of sediment) was 1.7. Suppose you are going to dig up and examine 50 liters of sediment at this site. Let r = 0, 1, 2, 3, be a random variable that represents the number of prehistoric artifacts found in your 50 liters of sediment.
(a)
Explain why the Poisson distribution would be a good choice for the probability distribution of r.
    
What is λ?
Write out the formula for the probability distribution of the random variable r. (Use e, λ, and r in your answer.)
P(r) =
(b)
Compute the probabilities that in your 50 liters of sediment you will find two prehistoric artifacts, three prehistoric artifacts, and four prehistoric artifacts. (Round your answers to four decimal places.)
P(2) = P(3) = P(4) =
(c)
Find the probability that you will find three or more prehistoric artifacts in the 50 liters of sediment. (Round your answer to four decimal places.)
(d)
Find the probability that you will find fewer than three prehistoric artifacts in the 50 liters of sediment. (Round your answer to four decimal places.)

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/4
 
The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr).
Predictor Coef SE Coef T P
Constant 0.8462 0.4148 2.06 0.84
Weight 0.40268 0.02978 13.52 0.000
S = 0.517508 R-Sq = 94.2%
(a) Write out the least-squares equation.
y hat = + x

(b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.)


(c) What is the value of the correlation coefficient r? (Use 3 decimal places.)
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/10
 
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. An archaeological study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data.
Predictor Coef SE Coef T P
Constant -0.245 2.429 -0.09 0.929
Diameter 0.8040 0.1471 4.01 0.004

S  =  4.07980       R-Sq  =  72.8%
(a) Minitab calls the explanatory variable the predictor variable. Which is the predictor variable, the diameter of the pot or the height?
    

(b) For the least-squares line ŷ = a + bx, what is the value of the constant a? What is the value of the slope b? (Note: The slope is the coefficient of the predictor variable.) Write the equation of the least-squares line.
a =
b =
ŷ = + x

(c) The P-value for a two-tailed test corresponding to each coefficient is listed under P. The t value corresponding to the coefficient is listed under T. What is the P-value of the slope?


What are the hypotheses for a two-tailed test of β = 0?
    

Based on the P-value in the printout, do we reject or fail to reject the null hypothesis for α = 0.01?
    

(d) Recall that the t value and resulting P-value of the slope b equal the t value and resulting P-value of the corresponding correlation coefficient r. To find the value of the sample correlation coefficient r, take the square root of the "R-Sq" value shown in the display. What is the value of r? (Round your answer to three decimal places.)


Consider a two-tailed test for r. Based on the P-value shown in the Minitab display, is the correlation coefficient significant at the 1% level of significance?
    

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/5
 
For a study regarding mean cadence, two-way ANOVA was used. The two factors were walking device (none, standard walker, rolling walker) and dual task (being required to respond vocally to a signal or no dual task required). Results of two-way ANOVA showed that there was no evidence of interaction between the factors. However, according to the article, "the ANOVA conducted on the cadence data revealed a main effect of walking device." When the hypothesis regarding no difference in mean cadence according to which, if any, walking device was used, the sample F was 30.94, with d.f.N = 2 and d.f.D = 18. Further, the P-value for the result was reported to be less than 0.001. From this information, what is the conclusion regarding any difference in mean cadence according to the factor "walking device used"?

A button hyperlink to the SALT program that reads: Use SALT.
Since the P value is less than 0.001, there a significant difference in mean cadence according to the factor walking device used. The critical value is F0.001 = . Since the sample F = 30.94 is than F0.001, F in the critical region, and we H0.
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/1
 
Sketch the area under the standard normal curve over the indicated interval and find the specified area. (Round your answer to four decimal places.)
A button hyperlink to the SALT program that reads: Use SALT.
The area to the left of
z = 0.55
is .

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2/4
 

Stats in Practice

  • Part I - Multiple Choice Questions

    The video opens with: "Fewer young people are putting on sunscreen when they are having fun in the sun." They support this conclusion by citing the results of a Center for Disease (CDC) study, in which researchers estimated what value in both 2001 and 2011?
         Correct: Your answer is correct.
    Correct. The video opens with a discussion of the percentage of high-school students who report they use sunscreen, indicating that researchers at the CDC estimate that percentage has fallen from 68% in 2001 to 56% in 2011.
    In this CDC study, why is it correct to say that researchers "estimated" a particular population characteristic rather than say the researchers "calculated" that value?
         Correct: Your answer is correct.
    Correct. In almost all research studies researchers cannot reach and talk to all members of the target population. The target population in this case is "high-school students." Instead, researchers study some members of the population and estimate the desired value for the population using the sample.

    Since the video explicitly says "the data shows," we can be assured that the CDC's estimates are based on research rather than guesses made by experts.
    The video discusses a study conducted by University of Michigan researchers who found that "close community ties can reduce heart attack risk for those over 50." In this study, researchers probably collected a sample of individuals, and for each, measured numerical variables (such as age or weight) as well as categorical variables (such as gender or whether a person has had a heart attack). Which of the following is also a numerical variable that researchers may have measured in this study?
        
  • Part II - Discussion Question

    The video describes a study that concludes that children who "don't get enough sleep are at a 20% higher risk for obesity." The video says one reason for this association between lack of sleep and obesity might be because those who get less sleep are more fatigued during the day leading to poorer food choices. Describe some other possible explanations for why these two variables might be related.

    This answer has not been graded yet.

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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.
    
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7/7
 
Waiters at a restaurant want to know if there is a relationship between the amount they are given in tips and the amount of the meal. Here is the graph along with the output from the regression table (without the regression equation). Use the JMP applet to answer the questions below.
  • JMP Applet

  • (a)

    There is a fairly strong positive linear relationship between bill amount and tip amount. True or false?
         Correct: Your answer is correct.
  • (b)

    Which variable are you trying to predict from a known variable?
    Known variable
         Correct: Your answer is correct.
    Variable to predict
         Correct: Your answer is correct.
  • (c)

    As the value of the bill amount increases, does the tip amount increase or decrease?
         Correct: Your answer is correct.
  • (d)

    One person paid a bill of $60.72 and tipped $15.00. What sort of tip was the waiter given?
         Correct: Your answer is correct.
  • (e)

    What is the linear regression equation? (Round your answers to three decimal places.)
    estimated tip amount = Correct: Your answer is correct. seenKey

    -0.292

    + Correct: Your answer is correct. seenKey

    0.182

    (bill amount)


Solution or Explanation
(a)
True. The scatterplot appears to be linear with a positive slope, and without too much deviation from the regression line.
(b)
The known variable is the bill amount, on the horizontal axis. The variable to predict is the tip amount, on the vertical axis.
(c)
Increase. The scatterplot shows that as bill amount increases, so does tip amount.
(d)
A very generous one. From the scatterplot, a bill amount of $60.72 would be predicted to have a tip amount of about $10 or $11, not $10.
(e)
estimated tip amount = 0.292 + 0.182(bill amount)
From the table of Parameter Estimates, we see the intercept of the regression line is 0.292267, and the estimated coefficient of the bill amount is 0.1822147.
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15. /9 points BBUnderStat12 2.Lab.001.Excel. My Notes
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Points
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0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100 0/100
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/9
 

Statistical Lab

  • Background

    The National Institutes of Health conducts ongoing surveys of US adults called the Health Information National Trends Survey (hereafter abbreviated HINTS).
    From the National Institutes of Health: "The HINTS data collection program was created to monitor changes in the rapidly evolving field of health communication. Survey researchers are using the data to understand how adults 18 years and older use different communication channels, including the Internet, to obtain vital health information for themselves and their loved ones...."
    The most recent round of data collection occurred over the course of September 2013November, 2013 in HINTS 4 Cycle 3. In this lab, you will be using a subset of the HINTS 4 Cycle 3 data to practice creating effective and informative graphical representations of data, which may include histograms and circle graphs.
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16. /18 points BBUnderStat12 PJT.1.001. My Notes
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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.

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