Balanced Design Does the table given in Exercise 1 constitute a balanced design? Why or why not?

Short Answer

Expert verified

Yes, the given experiment is a balanced design as the number of observations under the given two factors is equal.

Step by step solution

01

Given information

Data are given on the pulse rates of men and women. Each of the categories s further classified according to 3 different age groups. The three listed age groups are 18-29, 30-49, and 50-80

02

Balanced design

A balanced design is a design in which an equal number of observations corresponding to each group.

Here, the following table shows the sample sizes under each group:

Female

Male

18-29

10

10

30-49

10

10

50-80

10

10

As all sample sizes are equal, it can be said that the given experiment is a balanced design.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Tukey Test

A display of the Bonferroni test results from Table 12-1 (which is part ofthe Chapter Problem) is provided on page 577. Shown on the top of the next page is the SPSS-generated display of results from the Tukey test using the same data. Compare the Tukey test results to those from the Bonferroni test.

Weights The weights (kg) in the following table are from Data Set 1 “Body Data” in Appendix B. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude?


Female

Male

18-29

63.4

57.8

52.6

46.9

61.7

61.5

77.2

50.4

97

76.1

71.6

64.9

144.9

96.4

80.7

84.4

63.9

79

99.4

64.1

30-49

110.5

84.6

133.3

90.2

125.7

105.3

115.5

75.3

92.8

57.7

96.2

56.4

107.4

99.5

64.8

94.7

74.2

112.8

72.6

91.4

50-80

103.2

48.3

87.8

101.3

67.8

45.2

79.8

60.1

68.5

43.3

84.8

127.5

89.9

75.3

110.2

72.3

77.2

86.5

71.3

73.1

b. compare your results in part (a) for SSTRand SSEwith those you obtained in Exercises 13.24-13.29, where you employed the defining formulas.

c. construct a one-way ANOVAtable.

d. decide, at the 5%significance level, whether the data provide sufficient evidence to conclude that the means of the populations from which the samples were drawn are not all the same.

Job Priority Survey USA Today reported on an Adecco Sta³ng survey of 1000 randomly selected adults. Among those respondents, 20% chose health benefits as being most important to their job.

a. What is the number of respondents who chose health benefits as being most important to their job?

b. Construct a 95% interval estimate of the proportion of all adults who choose health benefits as being most important to their job.

c. Based on the result from part (b), can we safely conclude that the true proportion is different from 1/4? Why?

Speed Dating

Listed below are attribute ratings of males by females who participated in speed dating events (from Data Set 18 “Speed Dating” in Appendix B). Use a 0.05 significance level to test the claim that females in the different age brackets give attribute ratings with the same mean. Does age appear to be a factor in the female attribute ratings?

Age 20-22

38

42

30.0

39

47

43

33

31

32

28

Age 23-26

39

31

36.0

35

41

45

36

23

36

20

Age 27-29

36

42

35.5

27

37

34

22

47

36

32

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free