# texas-eco578-exam-ii-2015

## v There are 4 parts: Part A: Select the correct answer for the following questions (1-10) Part B: True/ False (11-20) Part C: Answer the following questions (21-29) Part D: Fill in the blank (30-40) Part E: Work Problem (41-53) **All work must be shown step by step** v Two different ways to submit your answer sheet 1. Scan your answer sheet and place it in ONE FILEat drop-box. (preferable) Use MS-Word and place it in a drop-box. v **Excel is not acceptable for this test v **Deadline:Monday, October 26, 2014 by noon (CST) v **All work in part D must be shown step by step in order to receive credit Online Exam II

Part A: Multiple Choice (1–10)

____1. The cumulative probability distribution of a random variable X gives the probability that X is _______ to, some spacified value of X.

a. Greater than or equal c. Less than or equal

b. Equal d. None of the above

_____2. The_______is the smallest level of significance at which can be rejected.

a. Value of c. p value

b. Probability of commiting of Type I error d. vale of 1 –

_____3. What is the probability of P(-1.4 < Z < 0.6)?

a. 0.9254 c. 0.3427

b. 0.6449 d. 0.9788

_____4. By using the binomial table, if the sample size is 20 and p equals to 0.70, what is the

value for P(X18)?

a. 0.0279 c. 0.1820

b. 0.0375 d. 0.1789

_____5. In a standard normal distribution, what is the area which lies between Z = -1.72 and

Z = 2.53?

a. 0.8948 c. 0.9516

b. 0.9123 d. 0.8604

_____6. A random sample of 60 items is taken producing a sample mean of 25 and a sample standard deviation of 12.25. What is the value for 95% confidence interval to estimate the population mean?

a. 23.384424.8966 c. 28.354129.1359

b. 24.114425.8856 d. 25.825226.5478

_____7.You perform a hypothesis test about a population mean on the basis of the following information: the sampled population is normally distributed, s = 100, n = 25, = 225, α = 0.05, Ha: µ > 220. The critical value of the test statistic is ______________ .

a. 2.0639 b. 1.7081

c. 1.7109 d. 1.96

_____8.You perform a hypothesis test about a population mean on the basis of the following information: n = 50,= 100, α = 0.05, s = 30, Ha: µ < 110. The computed value of the test statistic is _____________ .

a. -2.3570 b. -1.645

c. 2.3570 d. 4.24264

_____9. What is score for P(Z) = 0.0708?

a. 1.47 c. 1.80

b. 1.35 d. 1.41

_____10. The random variable x has a normal distribution with = 40 and = 36. What is the value of x if P(X) = 0.40?

a. 47.86 c. 49.85

b. 41.50 d. 45.73

Part B: True or False (11-20)

_____11. A normal distribution is a distribution of discrete data that produces a bell-shaped.

_____12. The mean of the discrete probability distribution for a discrete random variable is called its expected value.

_____13. A random variable is a variable that can take different values according to the outcome of an experiment, and it can be either discrete or continuous.

_____14. The variance is the expected value of the squared difference between the random variable and its mean.

_____15.If the critical values of the test statistic z is ±1.96, they are the dividing points between the areas of rejection and non-rejection.

_____16. For the continuity correction, the normal distribution is continuous and the binomial is discrete.

_____17. The binomial probability table gives probability for value of p greater than 0.5.

_____18. The cannot be written without having an equal sign.

_____19. For the normal distribution, the observations closer to the middle will occur with increasing frequency.

_____20.One assumption in testing a hypothesis about a proportion is that an outcome of an experiment can be classified into two mutual categories, namely, a success or a failure.

Part C: Answer the following questions (21-29)

21. Explain the differences between discrete random variable and continuous random variable.

22. What are the characteristics of discrete probability distribution?

23. When should the z-test be used and when should t-test be used?

24. What is the purpose of hypothesis testing?

25. Can you prove the null? Why?

26. What is Type I error?

27. What is Type II error?

28. Explain Sampling distribution of the mean

29. Explain Central limit theorem

Part D:Fill in the blank (30-40)

30. The purpose of hypothesis testing is to aid the manager or researcher in reaching a (an) __________________ concerning a (an) _______________ by examining the data contained in a (an) _______________ from that ____________________.

31. A hypothesis may be defined simply as __________________________________________.

32. There are two statistical hypotheses. They are the _________________ hypothesis and the _________________ hypothesis.

33. The statement of what the investigator is trying to conclude is usually placed in the _________________ hypothesis.

34. If the null hypothesis is not rejected, we conclude that the alternative _________________.

35. If the null hypothesis is not rejected, we conclude that the null hypothesis _________________.

36. The probability of committing a Type I error is designated by the symbol ____________, which is also called the ___________________.

37. Values of the test statistic that separate the acceptance region from the rejection are called _________________ values.

38. The following is a general statement of a decision rule: If, when the null hypothesis is true, the probability of obtaining a value of the test statistic as_______________ as or more _____________ than that actually obtained is less than or equal to , the null hypothesis is________________. Otherwise, the null hypothesis is ______________________ .

39. The probability of obtaining a value of the test statistic as extreme as or more extreme than that actually obtained, given that the tested null hypothesis is true, is called ____________ for the ________________test.

40. When one is testing H0: µ= µ0 on the basis of data from a sample of size n from a normally distributed population with a known variance of σ2, the test statistic is ____________________________________________________.

Part E:Must show all your work step by step in order to receive the full credit; Excel is not allowed. (41-53)

41. Ten trials are conducted in a Bernoulli process in which the probability of success in a given trail is 0.4. If x = the number of successes, determine the following.

 a) E(x) b) c) P (x = 5) d) P (4 ≤ x ≤ 8) e) P (x > 4)

42. Work problem number 5 on page 6-14 (a-e).

 a) b) c) d) e)

43. Work problem number 9 on page 6-28 (a-f).

 a) b) c) d) e) f)

44. Use problem number 4 on page 6-22 to fill in the table and answer the following questions (a-c).

 X P[X=x] (X)(P[X=x]) [X-E(X)] [X-E(X)]2 [X-E(X)]2 P[X=x] 0 1 2 3 4 5 6 Total

 a) Expected value b) Variance c) Standard deviation

45. Work problem number 5 on page 7-23 (a-f).(**Please draw the graph)

 Show your work Please draw graph a. b. c. d. e. f.

46.Work problem number 9 on page 7-47 (a-f). (** Please draw the graph)

 Show your work Please draw graph a. a) b. c. d. e. f.

[Message clipped] .google.com/mail/u/0/?ui=2&ik=0dbdfbcbc8&view=lg&msg=150a17d44ed280cb”>View entire message

### New Union Conceptualization

Module 7 Discussion  New Union Conceptualization After all that we have read and explored, a new conception of unions may be needed.

### Statistical Process Control

For the process you chose in 1-3, identify the type (variable or attribute) of data you have collected for the outputs of

### Statement Of Purpose

Statement of Purpose – A document of no more than two pages outlining your objectives for pursuing a Masters of Science in Information