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)
Excel is not acceptable for this test
Deadline: Monday, October 26, 2014 by noon (CST)
All work in part D must be shown step by step in order to receive credit
Part A: Multiple Choice (1-10)
1. The cumulative probability distribution of a random variable X gives the probabilitythat 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 samplestandard 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 ____________________________________________________.