in a sample of n=14 selected from a left​-skewed ​population, X=66 and S=25​, would you use the t test to test the null hypothesis H0: μ=64​?       Question content area bottom Part 1 Choose the correct answer below.     A. No​, you would not use the t test because the sample size is less than 30 and the population is left-skewed.   B. ​No, you would not use the t test because the sample size is at least 30 and the population is left​-skewed.   C. ​Yes, you would use the t test because the sample size is less than 30 and this population size allows for the Central Limit Theorem to take effect.   D. Yes​, you would use the t test because the sample size is at least 30 and this population size allows for the Central Limit Theorem to take effect.

questions : "determine the null and alternative hypotheses" and the pnes below it.

A poll of 2,122 randomly selected adults showed that 93% of them own cell phones. The technology display below results from a test of the claim that 92% of adults own cell phones. Use the normal distribution as an approximation to the binomial distribution, and assume a 0.05 significance level to complete parts (a) through (e). Test of p = 0.92 vs p *0.92 Sample X 1 N 2,122 1970 Sample p 0.928369 95% CI The P-value is (Round to three decimal places as needed.) (0.917397,0.939341) a. Is the test two-tailed, left-tailed, or right-tailed? O Two-tailed test O Left-tailed test O Right tailed test b. What is the test statistic? The test statistic is (Round to two decimal places as needed.) c. What is the P-value? Z-Value 1.42 P-Value 0.155

3. School administrators are interested to see if computer science majors and engineering majors study the same amount of hours per week, on average. A random sample of 125 computer science majors returns a sample average of 25 hours per week and a sample standard deviation of 2 hours. Next, a random sample of 144 engineering majors returns a sample average of 22 hours with a sample standard deviation of 3 hours.