Introduction to Probability and Statistics
Introduction to Probability and Statistics
14th Edition
ISBN: 9781133103752
Author: Mendenhall, William
Publisher: Cengage Learning
bartleby

Videos

Question
Book Icon
Chapter 11, Problem 11.60SE

(a)

To determine

To find:

Do the data provide sufficient evidence to indicate a difference in mean increase in heart rate among the four age groups? Test by using α=.05 .

(a)

Expert Solution
Check Mark

Answer to Problem 11.60SE

There is no sufficient evidence to indicate a difference in mean increase in heart rate among the four age groups.

Explanation of Solution

Given:


      1019

      2039

      4059

      6069

      1

      29

      24

      37

      28

      2

      33

      27

      25

      29

      3

      26

      33

      22

      34

      4

      27

      31

      33

      36

      5

      39

      21

      28

      21

      6

      35

      28

      26

      20

      7

      33

      24

      30

      25

      8

      29

      34

      34

      24

      9

      36

      21

      27

      33

      10

      22

      32

      33

      32
    Total
      309

      275

      295

      282

Calculation:

From the MINITAB output:

One-way ANOVA: 1019, 2039, 4059, 6069

    Source
      DF

      SS

      MS

      F

      P
    Factor
      3

      67.5

      22.5

      0.87

      0.468
    Error
      36

      935.5

      26.0
    Total
      39

      1003.0

  S=5.098RSq=6.73%RSq(adj)=0.00%

From the above printout the value of F=0.87 and the corresponding Pvalue=0.468>α=.05 .

So, we can conclude that there is no sufficient evidence to indicate a difference in mean increase in heart rate among the four age groups.

Conclusion: There is no sufficient evidence to indicate a difference in mean increase in heart rate among the four age groups.

(b)

To determine

To find: a 90% confidence interval for the difference in mean increase in heart rate between age groups 1019 and 6069 .

(b)

Expert Solution
Check Mark

Answer to Problem 11.60SE

The 90% confidence interval for the difference in the treatment means is (6.55,1.15) .

Explanation of Solution

Given:


      1019

      2039

      4059

      6069

      1

      29

      24

      37

      28

      2

      33

      27

      25

      29

      3

      26

      33

      22

      34

      4

      27

      31

      33

      36

      5

      39

      21

      28

      21

      6

      35

      28

      26

      20

      7

      33

      24

      30

      25

      8

      29

      34

      34

      24

      9

      36

      21

      27

      33

      10

      22

      32

      33

      32
    Total
      309

      275

      295

      282

Calculation:

    LevelNMean
      StDev

      1019

      10

      30.900

      5.195

      2039

      10

      27.500

      4.882

      4059

      10

      29.500

      4.696

      6069

      10

      28.200

      5.574

      Pooled StDev=5.098

The 90% confidence interval for the difference (μ1μ3) is given by, we have given, s2=MSE=26 so that s=5.099 with df=36

And we have, x¯1=30.9 , x¯4=28.2

  (x¯1x¯4)±tα/2s2( 1 n 1 + 1 n 4 )=(30.928.2)±1.68826( 1 10 + 1 10 )=2.7±1.68826(0.2)=2.7±1.6885.2=2.7±1.688(2.28035085)=2.7±3.8492

So, the 90% confidence interval for the difference in the treatment means is, (6.55,1.15) .

Conclusion: Thus, the 90% confidence interval for the difference in the treatment means is, (6.55,1.15) .

(c)

To determine

To find: a 90% confidence interval for the mean increase in heart rate for the age group 2039 .

(c)

Expert Solution
Check Mark

Answer to Problem 11.60SE

The 90% confidence interval for μ1 is (30.22,24.78) .

Explanation of Solution

Given:


      1019

      2039

      4059

      6069

      1

      29

      24

      37

      28

      2

      33

      27

      25

      29

      3

      26

      33

      22

      34

      4

      27

      31

      33

      36

      5

      39

      21

      28

      21

      6

      35

      28

      26

      20

      7

      33

      24

      30

      25

      8

      29

      34

      34

      24

      9

      36

      21

      27

      33

      10

      22

      32

      33

      32
    Total
      309

      275

      295

      282

Calculation:

We have given, s2=MSE=26 so that s=5.099 with df=36 .

And we have x¯1=27.5 .

Now, we want to calculate the 90% confidence interval:

  x¯1±tα/2(s n 1 )=27.5±1.688( 5.099 10 )=27.5±2.7218078

The 90% confidence interval for μ1 is (30.22,24.78) .

Conclusion: Thus, the 90% confidence interval for μ1 is (30.22,24.78) .

(d)

To determine

To find: the number ofpeople needed in each group to estimate two beats per minute with probability equal to .95 ?

(d)

Expert Solution
Check Mark

Answer to Problem 11.60SE

The number of people that we need in each group is 25 .

Explanation of Solution

Given:


      1019

      2039

      4059

      6069

      1

      29

      24

      37

      28

      2

      33

      27

      25

      29

      3

      26

      33

      22

      34

      4

      27

      31

      33

      36

      5

      39

      21

      28

      21

      6

      35

      28

      26

      20

      7

      33

      24

      30

      25

      8

      29

      34

      34

      24

      9

      36

      21

      27

      33

      10

      22

      32

      33

      32
    Total
      309

      275

      295

      282

Calculation:

The formula for sample size is given by,

  n=( z α/2 σ E)2=( 1.96(5.099) 2)2 = (4.99702) 2 =24.97=25

The number of people that we need in each group is 25 .

Conclusion: The number of people that we need in each group is 25 .

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!
Students have asked these similar questions
The class will include a data exercise where students will be introduced to publicly available data sources. Students will gain experience in manipulating data from the web and applying it to understanding the economic and demographic conditions of regions in the U.S. Regions and topics of focus will be determined (by the student with instructor approval) prior to April. What data exercise can I do to fulfill this requirement? Please explain.
Consider the ceocomp dataset of compensation information for the CEO’s of 100 U.S. companies. We wish to fit aregression model to assess the relationship between CEO compensation in thousands of dollars (includes salary andbonus, but not stock gains) and the following variates:AGE: The CEOs age, in yearsEDUCATN: The CEO’s education level (1 = no college degree; 2 = college/undergrad. degree; 3 = grad. degree)BACKGRD: Background type(1= banking/financial; 2 = sales/marketing; 3 = technical; 4 = legal; 5 = other)TENURE: Number of years employed by the firmEXPER: Number of years as the firm CEOSALES: Sales revenues, in millions of dollarsVAL: Market value of the CEO's stock, in natural logarithm unitsPCNTOWN: Percentage of firm's market value owned by the CEOPROF: Profits of the firm, before taxes, in millions of dollars1) Create a scatterplot matrix for this dataset. Briefly comment on the observed relationships between compensationand the other variates.Note that companies with negative…
6 (Model Selection, Estimation and Prediction of GARCH) Consider the daily returns rt of General Electric Company stock (ticker: "GE") from "2021-01-01" to "2024-03-31", comprising a total of 813 daily returns. Using the "fGarch" package of R, outputs of fitting three GARCH models to the returns are given at the end of this question. Model 1 ARCH (1) with standard normal innovations; Model 2 Model 3 GARCH (1, 1) with Student-t innovations; GARCH (2, 2) with Student-t innovations; Based on the outputs, answer the following questions. (a) What can be inferred from the Standardized Residual Tests conducted on Model 1? (b) Which model do you recommend for prediction between Model 2 and Model 3? Why? (c) Write down the fitted model for the model that you recommended in Part (b). (d) Using the model recommended in Part (b), predict the conditional volatility in the next trading day, specifically trading day 814.

Chapter 11 Solutions

Introduction to Probability and Statistics

Ch. 11.5 - Prob. 11.11ECh. 11.5 - Assembling Electronic Equipment An experiment was...Ch. 11.5 - Prob. 11.13ECh. 11.5 - Prob. 11.14ECh. 11.5 - Prob. 11.16ECh. 11.5 - The Cost of Lumber A national home builder wants...Ch. 11.6 - Prob. 11.19ECh. 11.6 - Prob. 11.20ECh. 11.6 - Prob. 11.21ECh. 11.6 - Prob. 11.22ECh. 11.6 - Prob. 11.23ECh. 11.6 - Prob. 11.26ECh. 11.8 - Prob. 11.28ECh. 11.8 - Prob. 11.29ECh. 11.8 - Do the data of Exercise 11.28 provide sufficient...Ch. 11.8 - Prob. 11.31ECh. 11.8 - Prob. 11.32ECh. 11.8 - Prob. 11.34ECh. 11.8 - The partially completed ANOVA table for a...Ch. 11.8 - Gas Mileage A study was conducted to compare...Ch. 11.8 - Prob. 11.38ECh. 11.8 - Prob. 11.39ECh. 11.8 - Digitalis and Calcium Uptake A study was conducted...Ch. 11.8 - Bidding on Construction Jobs A building contractor...Ch. 11.8 - Premium Equity? The cost of auto insurance varies...Ch. 11.8 - Prob. 11.43ECh. 11.8 - Prob. 11.44ECh. 11.10 - Prob. 11.45ECh. 11.10 - Prob. 11.46ECh. 11.10 - Prob. 11.47ECh. 11.10 - Prob. 11.48ECh. 11.10 - Prob. 11.49ECh. 11.10 - Demand for Diamonds A chain of jewelry stores...Ch. 11.10 - Terrain Visualization A study was conducted to...Ch. 11.10 - Prob. 11.52ECh. 11.10 - Prob. 11.53ECh. 11.10 - Prob. 11.54ECh. 11.10 - Prob. 11.55ECh. 11 - Prob. 11.56SECh. 11 - Prob. 11.57SECh. 11 - Prob. 11.58SECh. 11 - Prob. 11.59SECh. 11 - Prob. 11.60SECh. 11 - Prob. 11.61SECh. 11 - Prob. 11.62SECh. 11 - Prob. 11.63SECh. 11 - Prob. 11.64SECh. 11 - Prob. 11.65SECh. 11 - Prob. 11.66SECh. 11 - Prob. 11.67SECh. 11 - Yield of Wheat The yields of wheat(in bushels per...Ch. 11 - Prob. 11.69SECh. 11 - Professor’s Salaries In a study of starting...Ch. 11 - Prob. 11.71SECh. 11 - Prob. 11.72SECh. 11 - Prob. 11.73SECh. 11 - Prob. 11.74SE
Knowledge Booster
Background pattern image
Statistics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Text book image
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Text book image
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
What Are Research Ethics?; Author: HighSchoolScience101;https://www.youtube.com/watch?v=nX4c3V23DZI;License: Standard YouTube License, CC-BY
What is Ethics in Research - ethics in research (research ethics); Author: Chee-Onn Leong;https://www.youtube.com/watch?v=W8Vk0sXtMGU;License: Standard YouTube License, CC-BY