60 50 40 30 20 10 53.5 57.5 61.5 65.5 69.5 73.5 77.5 815 Exam Scores Range Frequency Below 61.5 12 61.5-65.5 30 65.5-69.5 69 69.5-73.5 59 27 73.5-77.5 Above 77.5 3 The graph and table above show results from the same random sample of 200 exam scores. At a 10% Le of Significance, test to see if the data fits a normal distribution with mean µ = 69.5 and standard deviation o = 4. To figure out the E column, use the Empirical Rule: (68% within one standard deviation, 95% within two standard deviations, the rest beyond two standard deviations. Note: Even if you get E < 5, go ahead and proceed as usual; do not combine categories. 1. The hypotheses are : O Ho:Exam scores are not normally distributed Ha:Exam scores are normally distributed Ho:Exam scores are normally distributed Ha:Exam scores are not normally distributed Frequency

60 50 40 30 20 10 53.5 57.5 61.5 65.5 69.5 73.5 77.5 815 Exam Scores Range Frequency Below 61.5 12 61.5-65.5 30 65.5-69.5 69 69.5-73.5 59 27 73.5-77.5 Above 77.5 3 The graph and table above show results from the same random sample of 200 exam scores. At a 10% Le of Significance, test to see if the data fits a normal distribution with mean µ = 69.5 and standard deviation o = 4. To figure out the E column, use the Empirical Rule: (68% within one standard deviation, 95% within two standard deviations, the rest beyond two standard deviations. Note: Even if you get E < 5, go ahead and proceed as usual; do not combine categories. 1. The hypotheses are : O Ho:Exam scores are not normally distributed Ha:Exam scores are normally distributed Ho:Exam scores are normally distributed Ha:Exam scores are not normally distributed Frequency

Name: 60504030201053.5 57.5 61.5 65.5 69.5 73.5 77.5 815Exam ScoresRangeFre
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Description: 60504030201053.5 57.5 61.5 65.5 69.5 73.5 77.5 815Exam ScoresRangeFrequencyBelow 61.51261.5-65.53065.5-69.56969.5-73.55973.5-77.527Above 77.53The graph and table above show results from the same random sample of 200 exam scores. At a 10% Levelof Sig

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

Topic Video

Question

60
50
40
30
20
10
53.5 57.5 61.5 65.5 69.5 73.5 77.5 815
Exam Scores
Range
Frequency
Below 61.5
12
61.5-65.5
30
65.5-69.5
69
69.5-73.5
59
73.5-77.5
27
Above 77.5
3
The graph and table above show results from the same random sample of 200 exam scores. At a 10% Level
of Significance, test to see if the data fits a normal distribution with mean µ = 69.5 and standard
deviation o = 4.
To figure out the E column, use the Empirical Rule: (68% within one standard deviation, 95% within two
standard deviations, the rest beyond two standard deviations.
Note: Even if you get E < 5, go ahead and proceed as usual; do not combine categories.
1. The hypotheses are :
O Ho:Exam scores are not normally distributed
Ha:Exam scores are normally distributed
O Ho:Exam scores are normally distributed
Ha:Exam scores are not normally distributed
Kɔuənbəs

2. This is a
leftO rightO two o tailed test; d.f. = 5
3a. The STS (to 2 decimals) is x =
3b. The P-value (to 3 decimals) =

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