) Find the 99% confidence interval (CI) and margin of error (ME) used to estimate the population proportion for a clinical test with 175 subjects when p ̂=72% showed improvement from the treatment. Interpret your result

Identify the t-score for a 95% confidence interval if the sample size is 15. t =  the answer isnt 2.131 so what is the answer?

Construct a 96% confidence interval if x=75 and n=200. Round your answers to 3 decimal places.

How can I calculate part B using excel?

A 95% confidence interval for a population proportion, p, is 0.23 < p < 0.27. What was the sample proportion?

if n = 42, p = 0.6 then construct the 98% confidence interval for the population proportion.

We want to determine if the true proportion of students who consume caffeine is not equal to 35%. We can use a confidence interval to determine this. O True False

10. Several years ago, 51% of parents who had children in grades K-12 were satisfied with the quality of education the students receive. A recent poll asked 1,075 parents who have children in grades K-12 if they were satisfied with the quality of education the students receive. Of the 1,075 surveyed, 472 indicated that they were satisfied. Construct a 99% confidence interval to assess whether this represents evidence that parents' attitudes toward the quality of education have changed. What are the null and alternative hypotheses? Ho: p (1) versus H1: p (2) (Round to two decimal places as needed.) Use technology to find the 99% confidence interval. The lower bound is The upper bound is (Round to two decimal places as needed.) What is the correct conclusion? O A. Since the interval contains the proportion stated in the null hypothesis, there is insufficient evidence that parents' att O B. Since the interval contains the proportion stated in the null hypothesis, there is sufficient…

A survey of 32,782 adults in 2004 indicated that 24.6% of adults were current smokers. A similar study conducted in 1995 of 40,000 adults indicated that 29.7% were current smokers. a. Find and interpret a point estimate of the difference between the proportion of current smokers in 1995, and the proportion of current smokers in 2004. b. A 95% confidence interval for the true difference is (-0.058,-0.045). Interpret. c. What assumptions must you make for the confidence interval i part b to be valid? (…) a. Find a point estimate of the difference between the proportion of current smokers in 1995 and the proportion of current smokers in 2004. (Round to three decimal places as needed.)

Can you help me with this question from my Business Statistics class?