standard deviation is known to be 0.342. Test the claim using a 0.05 level of significance. a. What is the claim? What are the null and alternate hypotheses? Will it be a one or two tailed test?

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1. The average number of people per household in California in the year 2010 was 2.91. We believe the average
household size is the same now. Looking at 81 California households, we find an average size of 2.82. The population
standard deviation is known to be 0.342. Test the claim using a 0.05 level of significance.
a. What is the claim? What are the null and alternate hypotheses? Will it be a one or two tailed test?
b. Do we use z-scores, t-scores, or nothing? Why?
c. Define the rejection region. Put it into words also.
d. Summarize the sample information and then find t* or z*.
Formulas
xー
Ox=
e. What is your conclusion?
Transcribed Image Text:1. The average number of people per household in California in the year 2010 was 2.91. We believe the average household size is the same now. Looking at 81 California households, we find an average size of 2.82. The population standard deviation is known to be 0.342. Test the claim using a 0.05 level of significance. a. What is the claim? What are the null and alternate hypotheses? Will it be a one or two tailed test? b. Do we use z-scores, t-scores, or nothing? Why? c. Define the rejection region. Put it into words also. d. Summarize the sample information and then find t* or z*. Formulas xー Ox= e. What is your conclusion?
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