Descriptive analysis revealed that the mean Test 3 score of all 63 students in Dr. Ron’s...
Descriptive analysis revealed that the mean Test 3 score of all 63 students in Dr. Ron’s statistics courses was an 80. Similarly, the standard deviation for all students’ Test 3 scores was found to be 16. Assume the Test 3 scores are approximately normally distributed. Descriptive analysis indicated 89% of students passed Test 3. Suppose a random sample of 50 students is drawn and defined as the proportion of students in the sample who passed Test 3.
16. According to the ________ the sampling distribution of will be ________ since ___________.
17. What is the probability that in a random sample of 50 students, between 60% and 85% of the students passed Test 3? That is, calculate . Round your solution to four decimal places.
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Descriptive analysis revealed that the mean Test 3 score of all
63 students in Dr. Ron’s...
Descriptive analysis revealed that the mean Test 3 score of all 63 students in Dr. Kilman's...
Descriptive analysis revealed that the mean Test 3 score of all 63 students in Dr. Kilman's statistics courses was an 80. Similarly, the standard deviation for all students' Test 3 scores was found to be 16. Assume the Test 3 scores are approximately normally distributed. Next, suppose a random sample of 36 students is drawn. Let be the mean Test 3 score of such a sample. 8. Assume the mean of one such sample is 94.25. Find the sampling error...
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5. At a local high school 5000 juniors and seniors recently took an aptitude test. The...
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Descriptive analysis revealed that the mean Test 3 score of all 63 students in Dr. Kilman's statistics courses was an 80. Similarly, the standard deviation for all students' Test 3 scores was found to be 16. Assume the Test 3 scores are approximately normally distributed. Next, suppose a random sample of 36 students is drawn. Let be the mean Test 3 score of such a sample. 8. Assume the mean of one such sample is 94.25. Find the sampling error...
5. At a local high school 5000 juniors and seniors recently took an aptitude test. The results of the exam were normally distributed with mean = 450 and o = 50. Calculate the following: a. The PERCENT of students to the nearest tenth of a percent that scored over 425 b. The number of students that scored more than 475 C. The probability of a student selected at random having scored between 400 and 575 6. A statistics instructor recorded...
(2 points) For students in a certain region, scores of students on a standardized test approximately follow a normal distribution with mean u = 543.4 and standard deviation o = 26.9. In completing the parts below, you should use the normal curve area table that is included in your formula packet. (a) What is the probability that a single randomly selected student from among all those in region who took the exam will have a score of 548 or higher?...
A random sample of 100 students is taken from the
population of all part-time students in the U.S., for which the
overall population of females is 0.60.6. Start by determining what
is given in the original statement.
Probabilities: Proportion Sampling Distributions If a sampling distribution is normally shaped, we can apply the Empirical Rule and use Z-scores to determine probabilities. Let's look at some examples. Example A random sample of 100 students is taken from the population of all part-time...
4. The following frequency table shows the test score distribution for a random sample of 25 students taking an introductory statistics class at a certain college. a. Find the missing relative frequency b. How many students in the sample RelativeF 0.08 0.04 Score 30-40 41-51 52-62 63-73 74 -84 85-95 had a score of at least 63? Total number of students taking an introductory statistics class at this college is 800. Based on the sample data above, estimate the total...
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