Problem 1: A professor at a large university believes that students take an average of 15 credit hours per term. A random sample of 25 students (of the 300 in his class) reported the following number...


Problems a and b please


Problem 1: A professor at a large university believes that students take an average of 15 credit<br>hours per term. A random sample of 25 students (of the 300 in his class) reported the following<br>number of credit hours that they were taking:<br>12<br>13<br>14<br>14<br>14<br>15<br>15<br>15<br>16<br>16<br>16<br>16<br>16<br>17<br>17<br>17<br>18<br>18<br>18<br>18<br>19<br>19<br>19<br>20<br>21<br>A. Create and interpret a 90% confidence interval to estimate the true average of credit hours<br>per term taken by his students. (State your conditions for inference)<br>В.<br>Based on this confidence interval, would it be reasonable to conclude that students are<br>taking more average credit hours than the professor believes? Explain.<br>

Extracted text: Problem 1: A professor at a large university believes that students take an average of 15 credit hours per term. A random sample of 25 students (of the 300 in his class) reported the following number of credit hours that they were taking: 12 13 14 14 14 15 15 15 16 16 16 16 16 17 17 17 18 18 18 18 19 19 19 20 21 A. Create and interpret a 90% confidence interval to estimate the true average of credit hours per term taken by his students. (State your conditions for inference) В. Based on this confidence interval, would it be reasonable to conclude that students are taking more average credit hours than the professor believes? Explain.

Jun 06, 2022
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