Null Hypothesis: The proportion of clients satisfied at the downtown office is equal to the proportion of clients satisfied at the uptown office. Alternative Hypothesis: There is a difference in the satisfaction between the uptown and the downtown clients. Null Hypothesis: The proportion of clients satisfied at the downtown office is 84%. Alternative Hypothesis: Uptown clients are more satisfied with the dental office staff than downtown clients. RATIONALE Recall that the null hypothesis is always of no difference. So the null hypothesis (Ho) is that the proportion of patients satisfied at the uptown clinic = proportion satisfied at the downtown clinic.This would indicate no difference between the two groups. The alternative hypothesis (Ha) is that there is difference in the proportion of patients satisfied between the two groups. CONCEPT Hypothesis Testing 15 Edwin conducted a survey to find the percentage of people in an area who smoked regularly. He defined the label “smoking regularly” for males smoking 30 or more cigarettes in a day and for females smoking 20 or more. Out of 635 people who took part in the survey, 71 are labeled as people who smoke regularly. Edwin wishes to construct a significance test for his data. He finds that the proportion of chain smokers nationally is 14.1%. What is the z-statistic for this data?Answer choices are rounded to the hundredths place.

-0.24 -2.11 -2.34 -0.03

RATIONALE To make things a little easier, let's first note the denominator We can now note that Finally, subbing all in we find *note that if you round, the values can be slightly different. CONCEPT Z-Test for Population Proportions 16 Ryan, a baker, measured the weights of cakes baked in each batch at his bakery and found that the mean weight of each cake is 500 grams. He performed a hypothesis test to find the mean weight of each cake by setting andSelect the statement that indicates a Type I error. . . . .

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Rejecting the mean weight of each cake as 500 grams when.

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CONCEPT Type I/II Errors

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