A math teacher claims that she has developed a review course that increases the scores of students on the math portion of a college entrance exam. Based on data from the administrator of the exam, scores are normally distributed with p = 520 The teacher obtains a random sample of 2200 students, puts them through the review class, and finds that the mean math score of the 2200 students is 526 with a standard deviation of 114. Complete parts (a) through (d) below. (d) Test the hypothesis at the a = 0.10 level of significance with n= 400 students. Assume that the sample mean is still 526 and the sample standard deviation is still 114. Is a sample mean of 526 significantly more than 520? Conduct a hypothes test using the P-value approach. Find the test statistic. 6 = 1.05 (Round to two decimal places as needed.) Find the P-value. The P-value is 0.147. (Round to three decimal places as needed.) Is the sample mean statistically significantly higher? A. No, because the P-value is less than a = 0.10. B. Yes, because the P-value is less than a = 0.10. C. No, because the P-value is greater than a = 0.10. D. Yes, because the P-value is greater than a = 0.10. What do you conclude about the impact of large samples on the P-value? A. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences. B. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences. C. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences. D. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences.

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A math teacher claims that she has developed a review course that increases the scores of students on the math portion of a college entrance exam. Based on data from the administrator of the exam, scores are normally distributed with
The teacher obtains a random sample of 2200 students, puts them through the review class, and finds that the mean math score of the 2200 students is 526 with a standard deviation of 114. Complete parts (a) through (d) below.
= 520.
.....
(d) Test the hypothesis at the a = 0.10 level of significance with n = 400 students. ASsume that the sample mean is still 526 and the sample standard deviation is still 114. Is a sample mean of 526 significantly more than 520? Conduct a hypothesis
test using the P-value approach.
Find the test statistic.
to=
= 1.05
(Round to two decimal places as needed.)
Find the P-value.
The P-value is 0.147.
(Round to three decimal places as needed.)
Is the sample mean statistically significantly higher?
A. No, because the P-value is less than a = 0.10.
B. Yes, because the P-value is less than a = 0.10.
C. No, because the P-value is greater than a = 0.10.
D. Yes, because the P-value is greater than a = 0.10.
What do you conclude about the impact of large samples on the P-value?
A. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences.
B. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences.
C. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences.
D. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences.
Transcribed Image Text:A math teacher claims that she has developed a review course that increases the scores of students on the math portion of a college entrance exam. Based on data from the administrator of the exam, scores are normally distributed with The teacher obtains a random sample of 2200 students, puts them through the review class, and finds that the mean math score of the 2200 students is 526 with a standard deviation of 114. Complete parts (a) through (d) below. = 520. ..... (d) Test the hypothesis at the a = 0.10 level of significance with n = 400 students. ASsume that the sample mean is still 526 and the sample standard deviation is still 114. Is a sample mean of 526 significantly more than 520? Conduct a hypothesis test using the P-value approach. Find the test statistic. to= = 1.05 (Round to two decimal places as needed.) Find the P-value. The P-value is 0.147. (Round to three decimal places as needed.) Is the sample mean statistically significantly higher? A. No, because the P-value is less than a = 0.10. B. Yes, because the P-value is less than a = 0.10. C. No, because the P-value is greater than a = 0.10. D. Yes, because the P-value is greater than a = 0.10. What do you conclude about the impact of large samples on the P-value? A. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences. B. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences. C. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences. D. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences.
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