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Solutions for Basic Statistics for Business & Economics, 2024 Release by Lind (All Chapters included)

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  • Introduction to Statistics
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Complete Solutions Manual for Basic Statistics for Business & Economics, 2024 Release by Douglas A. Lind, William G. Marchal, Samuel A. Wathen ; ISBN13: 9781265056926.....(Full Chapters included and organized in reverse order from Chapter 15 to 1)...1. What Is Statistics? 2. Describing Data Freque...

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Basic Statistics for Business &
Economics, 2024 Release by
Douglas A. Lind



Complete Chapter Solutions Manual
are included (Ch 1 to 15)




** Immediate Download
** Swift Response
** All Chapters included

,Table of Contents are given below



1. What Is Statistics?

2. Describing Data Frequency Tables, Frequency Distributions,

and Graphic Presentation

3. Describing Data Numerical Measures

4. Describing Data Displaying and Exploring Data

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. Continuous Probability Distributions

8. Sampling, Sampling Methods, and the Central Limit Theorem

9. Estimation and Confidence Intervals

10. One-Sample Tests of Hypothesis

11. Two-Sample Tests of Hypothesis

12. Analysis of Variance

13. Correlation and Linear Regression

14. Multiple Regression Analysis

15. Nonparametric Methods Nominal Level Hypothesis Tests

,Solutions Manual organized in reverse order, with the last chapter displayed first,
to ensure that all chapters are included in this document. (Complete Chapters
included Ch15-1)
Chapter 15
Nonparametric Methods: Nominal Level Hypothesis Tests
1. a. 3
b. 7.815 In Excel, =CHISQ.INV.RT(.05,3) (LO15-1)

2. a. 5
b. 15.086 In Excel, =CHISQ.INV.RT(.01,5) (LO15-1)

3. In Excel, input the data and apply Excel tutorial #66.

a. Reject Ho if 2 > 5.991
(10 − 20)2 (20 − 20)2 (30 − 20)2
2 = + + = 10.0
b. 20 20 20
c. Reject Ho. The proportions are not equal. (LO15-1)

4. In Excel, access the data and apply Excel tutorial #66.

a. Reject Ho if 2 > 7.815
(10 − 20)2 (20 − 20) 2 (30 − 20) 2 (20 − 20) 2
2 = + + + = 10.0
b. 20 20 20 20
c. Reject Ho. The categories are not equal. (LO15-1)

5. In Excel, input the data and apply Excel tutorial #66.

Ho: The outcomes are the same H1: The outcomes are not the same
Reject Ho if 2 > 9.236
(3 − 5)2 (7 − 5)2
2 = + ... + = 7.60
5 5
Do not reject Ho. Cannot reject Ho that outcomes are the same. (LO15-1)

6. In Excel, input the data and apply Excel tutorial #66.

Ho: Rounds played is the same for each day H1: Rounds played is not the same
Reject Ho if  > 9.488
2

(124 − 104)2 (120 − 104)2
2 = + ... + = 15.308
104 104
Reject Ho. The number of rounds played is not the same for each day. (LO15-1)

7. In Excel, access the data and apply Excel tutorial #66.

Ho: There is no difference in the frequencies. H1: There is a difference in the frequencies
Reject Ho if 2 > 15.086
(47 − 40)2 (34 − 40) 2
2 = + ... + = 3.400
40 40
Do not reject Ho. There is no difference in the proportions. (LO15-1)


15-1

, 8. In Excel, access the data and apply Excel tutorial #66.

Ho: The accident frequencies are the same H1: The accident frequencies are not the same
Reject Ho if 2 > 18.475
(6 − 10)2 (19 − 10)2 (6 − 10)2
2 = + ... + + = 24.60
10 10 10
Reject Ho. The accidents are not evenly distributed throughout the day. (LO15-1)

9. In Excel, input the data and apply Excel tutorial #66.

a. Reject Ho if 2 > 9.210
(30 − 24)2 (20 − 24)2 (10 − 12)2
b. 2 = + + = 2.50
24 24 12
c. Do not reject Ho (LO15-1)

10. In Excel, input the data and apply Excel tutorial #66.

Ho: The proportions are as stated H1: The proportions are not as stated
Reject Ho if 2 > 7.824
(60 − 50) 2 (30 − 25) 2 (10 − 25)2
2 = + + = 12.00
50 25 25
Reject Ho. Proportions are not as stated. (LO15-1)

11. In Excel, input the data and apply Excel tutorial #66.

Ho: The proportions are as stated H1: The proportions are not as stated
Reject Ho if  > 11.345
2

(50 − 25)2 (100 − 75)2 (190 − 125)2 (160 − 275)2
2 = + + + = 115.22
25 75 125 275
Reject Ho. Proportions are not as stated. (LO15-1)

12. In Excel, input the data and apply Excel tutorial #66.

Ho: The proportions are as stated H1: The proportions are not as stated
With 3 df, Reject Ho if 2 > 7.815

Note that proportions are converted to expected frequencies. These are compared to observed
frequencies.

(30−25.2)2 (32−27.6)2 (30−25.2)2 (28−42)2
𝜒2 = 25.2
+ + + = 7.1967
27.6 25.2 42

Fail to reject Ho. The viewing habits of viewers 35 years of age or older are not different from
the population’s viewing habits. (LO15-1)

13. H0: The population of clients follows a normal distribution.
H1: The population of clients does not follow a normal distribution.
Reject the null if chi-square is greater than 5.991.


15-2

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