Question

BACKGROUND: According to the Educational Testing Service (ETS), the national average on the Graduate Record Examinations...

BACKGROUND: According to the Educational Testing Service (ETS), the national average on the Graduate Record Examinations (GRE), a standardized test that is an admissions requirement for most graduate schools in the United States, is 302.60 (with the verbal and quantitative subsections combined). Unfortunately, ETS does not provide a standard deviation for total GRE score (only standard deviations for the two subsections), so let’s just use a standard deviation of 12.

PROBLEM (FICTIONAL): ETS has received number complaints from universities that the current GRE does not provide a valid measure of a student’s quality (i.e., capability to succeed in graduate school). Indeed, many universities feel that the current GRE is too easy compared to previous versions, and thus more students who are not capable of succeeding in graduate school are receiving scores that suggest otherwise. Thus, beginning in 2019, ETS is making the GRE more difficult, which should lower the average GRE score of future GRE takers.

Answer the below questions (each worth 2 pts):

Question #1: ETS hypothesizes that the new, more difficult GRE test will result in a significantly lower average GRE score than the current GRE test. State the one-tailed alternative and null hypotheses (using the new statistical notation for stating mathematical relationships found on page 207) that would be used in testing this hypothesis.

Question #2: Again, ETS hypothesizes that the new, more difficult GRE test will result in a significantly lower average GRE score than the current GRE test. What is the Zcrit for testing of this hypothesis, assuming an alpha of 0.05.

In order to test whether or not the new, more difficult GRE test significantly lowered the average GRE score, ETS administered it to a sample of 225 students. The average GRE score of this sample was 301.25. With this information, answer the following questions:

Question #3: What is Zobt for the sample mean of the 225 students who took the new, more difficult GRE test (round to two decimal places)?

Question #4: Did the new, more difficult GRE result in a significantly lower average GRE score? Explain how you came to your conclusion.

Question #5: Let’s say that, despite what our statistics say, in nature (or in reality) the new, more difficult GRE test is actually no more difficult on average than the current GRE test. What type of error would we say occurred in ETS’s study on the new, more difficult GRE test?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
BACKGROUND: According to the Educational Testing Service (ETS), the national average on the Graduate Record Examinations...
BACKGROUND: According to the Educational Testing Service (ETS), the national average on the Graduate Record Examinations (GRE), a standardized test that is an admissions requirement for most graduate schools in the United States, is 302.60 (with the verbal and quantitative subsections combined). Unfortunately, ETS does not provide a standard deviation for total GRE score (only standard deviations for the two subsections), so let’s just use a standard deviation of 12. Pretend the ETS revises the current GRE test (the one...
The Graduate Management Aptitude Test (GMAT), produced by the Educational Testing Service (ETS) in Princeton, New...
The Graduate Management Aptitude Test (GMAT), produced by the Educational Testing Service (ETS) in Princeton, New Jersey, is widely used by graduate schools of business in the U.S. as an entrance requirement. Assume that the scores in a recent year are normally distributed with a mean of 494 and a variance of 10,000. What is the probability that a randomly selected score is greater than 384?
A researcher was interested in how students’ Graduate Record Examinations scores (GREQ- Quantitative and GREV-Verbal) predict...
A researcher was interested in how students’ Graduate Record Examinations scores (GREQ- Quantitative and GREV-Verbal) predict college students’ graduate school Grade Point Average (GGPA). He collects data from 30 college students. The GRE Quantitative (X1) and GRE Verbal (X2) scores can range from 400-1600 (Note. This is the old GRE score scale). GGPA (Y) can range from 0.00 to 4.00. f. What proportion of variance in graduate grade point average cannot be accounted by the variability in the quantitative GRE...
Wendell just took the GRE (graduate record exam) and wants to know how he stacks up...
Wendell just took the GRE (graduate record exam) and wants to know how he stacks up compared to other students. The GRE is a standardized test with a normal distribution of scores. He knows the z score for his test result, z = 0.33, and wants to know the proportion of people who scored lower than him on the GRE. Which column in the Unit Normal Table should John use to answer his question? Proportion between Mean and z Proportion...
For questions 1 through 3 state the proper t-test (one sample, paired samples, independent samples) that...
For questions 1 through 3 state the proper t-test (one sample, paired samples, independent samples) that should be used to evaluate the research question: (*Just state the test) 1) A developmental psychologist wants to determine if a recently created computer training program can increase the working memory ability of high-school students. A sample of 40 students are given the reverse digit span test at the beginning of the school year and then again after 4 weeks of training. Are there...
You are testing a new package handling system. The Historical average is 35 minutes with a...
You are testing a new package handling system. The Historical average is 35 minutes with a population standard deviation of 8 minutes. A test of the new process on 10 random runs has a mean of 33 minutes. Let’s say 33 was in fact the true mean of the alternative hypothesis – in other words an infinite number of sample means at the new process would have resulted in a mean of 33? What is the beta error and power...
Below are some examples of hypothesis testing questions. Match the correct test to the question. -...
Below are some examples of hypothesis testing questions. Match the correct test to the question. - Heritage Union has said that 66% of U.S. adults have purchased life insurance. Suppose that for a random sample of 50 adults from a given U.S. city, a research finds that only 56% of them have purchased life insurance. At a 0.05 level of significance test, is this sample finding significantly lower than the 66% reported by Heritage Union? - A scrap metal dealer...
Calculate the mean, median, mode, variance (population) and standard deviation (sample) for the following test grades:...
Calculate the mean, median, mode, variance (population) and standard deviation (sample) for the following test grades: 65, 60, 67, 71, 75, 80, 65 Use this information to answer questions #1-4. Question 1 (0.5 points) Saved The mode is: Question 1 options: 65 60 There is no modal category 75 71 Question 2 (0.5 points) Saved The median is: Question 2 options: 67 65 80 66 None of the above Question 3 (0.5 points) What is the approximate population variance for...
PLEASE READ THE ARTICLES ATTACHED AND ANSWER THE FOLLOWING QUESTION. THE ARTICLES ARE BOTH LISTED PLEASE...
PLEASE READ THE ARTICLES ATTACHED AND ANSWER THE FOLLOWING QUESTION. THE ARTICLES ARE BOTH LISTED PLEASE PROVIDE DETAILED EXPLANATIONS. PLEASE WRITE ONE REFLECTION COMBINING BOTH ARTICLES. The purpose of the Article Reflection is to deepen your engagement with the topic of Epidemiology. It will give you the opportunity to reflect on the current real-life epidemiological issues at hand and help to bring meaning to them. ARTICLE 1: A group of students knew they had covid-19. They hosted a party over...
1.The sample mean is an unbiased estimator for the population mean. This means: The sample mean...
1.The sample mean is an unbiased estimator for the population mean. This means: The sample mean always equals the population mean. The average sample mean, over all possible samples, equals the population mean. The sample mean will only vary a little from the population mean. The sample mean has a normal distribution. 2.Which of the following statements is CORRECTabout the sampling distribution of the sample mean: The standard error of the sample mean will decrease as the sample size increases....