Question: (1) Before we use a normal model, we need to make sure that it is a good model for the distribution of sample proportions, so

(1) Before we use a normal model, we need to make sure that it is a good model for the distribution of sample proportions, so we check normality conditions.

To check the normality conditions, we usepequal to (a. 0.328 b. 0.41) andnequal to (a. 100 b. 41) . We show thatnpandn(1-p)are both at least 10. np represents

(a. the number of expected C-sections in a sample of 100 births b. the number of expected normal deliveries in a sample of 100 births c. the actual number of C-sections in the sample

(1) Before we use a normal model, we need to make surethat it is a good model for the distribution of sample proportions,so we check normality conditions.To check the normality conditions, we usepequal to(a. 0.328 b. 0.41) andnequal to (a. 100 b. 41) . Weshow thatnpandn(1-p)are both at least 10. np represents (a. the number of

What is the sample proportion used in the calculation of the confidence interval? O 0.41 O 0.328 O 0.95 O No answer text provided.Which of the following is the correct way to calculate the standard error for this problem? 0.328(1-0.328) 100 = 0.047 O 0.41(1-0.41) 100 = 0.049\f\fWhat does the condence interval estimate? 0 the proportion of all births this year that are Csections O the proportion of all births in 2011 that were Csections O the proportion of Csections in the sample

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