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e Section 3: 2 Scores/Percentiles and Hypothesis Testing Please show work. You wil need to refer to Z score tables for this r
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Answer #1

6.
a.

Z score for score 26 = (x - \mu) / \sigma = (26 - 20.8) / 4.8 = 1.083

Percentile for Z = 1.083 is 0.86 = 86% (From Z table)

b.

Sample average = 22.1

Z score for score 19 = (19 - 22.1) / 4.8 = -0.6458

Percentile for Z = -0.6458 is 0.2592 = 26% (From Z table)

c.


Null hypothesis H0: Mean score of students is equal to the national average on ACT. That is, \mu = 20.8
Alternative hypothesis Ha: Mean score of students is greater than the national average on ACT. That is, \mu > 20.8

Standard error of mean = s / \sqrt{n} = 4.8 / \sqrt{400} = 0.24

Test statistic, z = (Sample mean - Hypothesized mean) / Standard error

= (22.1 - 20.8) / 0.24

= 5.42

Critical value of Z for \alpha = 0.10 and one-tail test is 1.28. That is, we reject H0 if Z > 1.28

Since test statistic, z is greater than the critical value, we reject H0.

P-value = P(Z > 5.42) = 0.0000

Since, p-value is less than 0.1 significance level, we reject null hypothesis H0 and conclude that there is significant evidence that mean score of students is greater than the national average on ACT and the principal's claim is valid.

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