EXST 2201 : EXST 2201 Quiz 2A

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azuremammoth471

15 Mar 2019

School

LSU

Department

Experimental Statistics

Course

EXST 2201

Professor

All

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When the quiz is available on moodle, record your answers in the moodle quiz and submit them for grading. What is the shape of the sampling distribution of the sample average: unknown shape, bell shaped, block shaped, horn shaped. What is the mean of the sampling distribution of the sample average: 0. 88, 8. 5, 30, 120. What is the standard error of the sampling distribution of the sample average: 0. 118, 1. 133, 0. 686, 0. 882. What is the probability that the sample average is greater than 30. 2: 0. 2514, 0. 3859, 0. 7486, 0. 6147. What is the probability the sample average is less than or equal to 30. 6: 0. 1909, 0. 6423, 0. 5768, 0. 8078, a simple random sample of size n is drawn from a population with x = 59. 2 = 3. 8. What is the point estimate of the population mean: 3. 8, 55. 4, 59. 2, 15. 6. A significance level of 0. 05 is the same as a confidence level of: 0. 5, 5, 55, 95%

Related Questions

Vacation Hours Earned earned by Blue-Collar and Service Employees. The US Bureau of Labor Statistics (BLS) reported that the mean annual number of hours of vacation time earned by blue-collar and service employees who work for small private establishments and have at least 10 years of service is 100. Assume that for this population the standard deviation for the annual number of hours earned is 48. Suppose the BLS would like to select a sample of 15,000 individuals from this population for a follow-up study.

a. Show the sampling distribution of the sample mean( ) of 15, 000 individuals from this population.

b. What is the probability that a simple random sample of 15,000 individuals from this population will provide a sample mean that is within 1 hour of the population mean?

c. Suppose the mean annual number of hours of vacation time earned for a sample of 15,000 blue-collar and service employees who work for small private establishments have at least 10 years of service differs from the population mean ( ) by more than an hour. Considering your results in part b) how would you interpret this result?

orchidminnow356

Use the following scenario for questions 6 – 8. In 2016-17, the average SAT score of the UVA first year class was 1420 out of 1600. An advisor in the statistics department is interested in determining whether statistics majors from that class have higher SAT scores than the average. He tests H,:µ = 1420 against Hạ: µ > 1420, where u is the mean SAT score for statistics majors from the 2016-17 first year class. In a simple random sample of 30 statistics majors, he finds a sample mean SAT score of 1440 with sample standard deviation of 40.

6. What is the value of the test statistic for this significance test?

a. 0.09

b. 0.5

c. 2.73

d. 20

7. From what distribution is this test statistic?

a. N(0, 1)

b. N(1420, 7.30)

c. t distribution with 29 degrees of freedom

d. t distribution with 28 degrees of freedom

8.) The p-value for this test is 0.005. Which of the following is a proper interpretation of this p- value?

a.There is a 0.5% chance that the null hypothesis is true.

b. If the population mean SAT score really is 1420, there's a 0.5% chance that the sample a. mean SAT score from 30 statistics majors would equal 1440.

c.If the population mean SAT score really is 1420, there's a 0.5% chance that the sample mean SAT score from 30 statistics majors would be 1440 or lower.

d. If the population mean SAT score really is 1420, there's a 0.5% chance that the sample mean SAT score from 30 statistics majors would be 1440 or higher.

beigeserval271

Consider the following sample of observations on coating thickness for low-viscosity paint. ("Achieving a Target Value for a Manufacturing Process: A Case Study," J. of Quality Technology, 1992:22-26):

0.83	0.88	0.88	1.04	1.09	1.12	1.29	1.31
1.48	1.49	1.59	1.62	1.65	1.71	1.76	1.83

Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption).

(a) Calculate a point estimate of the mean value of coating thickness, and state which estimator you used.

(b) Calculate a point estimate of the median of the coating thickness distribution, and state which estimator you used.

(c) Calculate a point estimate of the value that separates the largest 10% of all values in the thickness distribution from the remaining 90% and state which estimator you used. [Hint: Express what you are trying to estimate in terms of m and s]

(d) Estimate P(X<1.5), i.e., the proportion of all thickness values less than 1.5 [Hint: if you know the values of and , you could calculate this probability. These values are not available , but they can be estimated.]

(e) What is the estimated standard error of the estimator that you used in part (b)?

skybat612

EXST 2201 : EXST 2201 Quiz 2A

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