Social Statics, Inferential Statistics; Estimating Procedures; Hypothesis Testing,

Name__________________________________SOCG 4053; Social Statics, Inferential Statistics; Estimating Procedures; Hypothesis Testing, Quiz 9 (1-10); Quiz 10(11-20); Quiz 11 (21-30); Quiz 12 (31-40); Quiz 13 (41-50)

1. Parameters are _____.

a. The distance between descriptive and inferential statistics.
b. Sampling techniques for inferential statistics
c. Generalized population characteristics
d. Statistical methods

2. When we talk of a sample average, we call it a mean, for a population average we call it ______.

a. Standard mean
b. Statistics
c. Mu
d. Sigma

3. Probability samples are also called ______ samples.

a. Continuous
b. Random
c. Inferential
d. Population

4. EPSEM is the acronym for ______.

a. Equal Probability for Selecting Method
b. Every Person Serves Equally Method
c. Earnest Plying of Selected Entry Method
d. Equal Probability of Service Employment Method

5. A sample is representative if it _______.

a. Has a sample size of at least 1000
b. Falls within the sampling distribution
c. Reproduces the major characteristics of the population
d. All of the above

6. A simple random sample is a method in which ________.

a. Every other case is chosen for the sample.
b. Every case has an equal chance of being chosen
c. The population is used to estimate the parameter
d. The sample predicts the population

7. A cluster sample is a method in which ______ units are randomly selected and ______ case(s) within each is/are tested.

a. Population, minimum
b. Sampling, very 100th
c. Geographical, very kth
d. Demographically, every kth

8. Stratified sampling selects a sample from ______.

a. Generalized tracts in the population
b. Sublists of the population
c. Demographic transition table
d. Random numbers table

9. The central concept to inferential statistics is ______.

a. Population parameters
b. Sampling distribution
c. EPSEM
d. Stratified sampling techniques

10. The three distributions involved in very application of inferential statistics are ______.

a. Random sampling, sample distribution, sampling probability
b. EPSEM, sample means, sampling distribution
c. Sample proportion, population proportion, sampling mean
d. Sample distribution, population distribution, sampling distribution

11. The sample distribution is ______.

a. Random
b. Known
c. Isomorphic
d. Theoretical

12. The population distribution is ______.

a. Theoretical
b. Known
c. Empirical
d. Random

13. The sampling distribution is _____.

a. Empirical
b. Known
c. Random
d. Theoretical

14. The mean of the population distribution is represented by the letter/symbol _______.

a. S
b. 
c. 
d. 

15. ______ letters/symbols are used to denote population values.

a. Lower case
b. Roman
c. Greek
d. Capital

16. A point estimate is an estimate of the ______.

a. Sample distribution
b. Population size
c. Population value
d. Sample size

17. To find the confidence interval for population proportions, we must have the ______.

a. Population mean and sample standard deviation
b. Sample mean and standard deviation
c. Sample proportion and standard deviation
d. Sample proportion and sample size

18. The width of confidence intervals is affected by _____ and ______.

a. Sample size; alpha levels
b. Sample means; standard deviations
c. Alpha levels; sample proportions
d. Sample size; sample means

19. The larger the sample size, the _____ the confidence interval.

a. Greater
b. Wider
c. Smaller
d. More continuous

20. The lower the alpha level, the ______ the interval width.

a. More precise
b. Smaller
c. More continuous
d. Wider

21. The Z score that corresponds to an alpha level of 0.01 is _______.

a.
b.
c.
d.

22. The Z score that corresponds to an alpha level of 0.05 is _____.

a.
b.
c.
d.

23. A confidence interval is an estimate of the _____.

a. Sample size
b. Population size
c. Population value
d. Sample distribution

24. The main difference between a point estimate and a confidence interval is that point estimates use _____ whereas confidence intervals use ______.

a. A population; a sample
b. A point; a range
c. A range; a point
d. An estimate; and alpha level

25. A good estimator should be _____ and ______.

a. Unbiased; efficient
b. Unbiased; inefficient
c. Biased; inefficient
d. Biased; efficient

26. A statistics is unbiased if the ______.

a. Mean of the sampling distribution is equal to the mean of the population.
b. Sample size is larger than 50
c. Mean of the sampling distribution is equal to the mean of the sample
d. Mean of the sample is equal to the mean of the population

27. Efficiency of a measure indicates the ______.

a. Degree to which the population mean is equal to the standard deviation of the sample means
b. Distance between the population value and the sample value
c. Degree to which the sample outcomes are clustered around the mean of the sampling distribution
d. Population value can be found quickly and easily

28. Alpha levels are the ______.

a. Amount of error in a sample
b. Probability of the population
c. Greek letter for population variance
d. Probability of error

29. Common alpha levels are ______.

a. 0.01, 0.05, 0.1
b. 0.1, 0.01, 0.15
c. 0.99, 0.95, 0.9
d. 0.5, 0.25, 0.15

30. To find the confidence interval for population mans, we must have the ______.

a. Sample mean and standard deviation
b. Population mean and standard deviation
c. Population mean and standard deviation
d. Sample mean and proportion

31. The main point in one-sample hypothesis testing is to determine _____.

a. The sample size necessary to estimate the population
b. If there is more than one sample
c. If the sample is taken from the population
d. If one sample is large enough to estimate the population value

32. If you have a sample size larger than 100, and a known standard deviation of the population (), you would use the ______ to test for significance.

a. Z distribution for one-sample proportions
b. t distribution for one-sample proportions
c. t distribution for one-sample proportions
d. Z distribution for one-sample means

33. If you have a sample size smaller than 100, and an unknown standard deviation of the population (), you would use the _____ to test for significance.

a. t distribution for one-sample means
b. Z distribution for one-sample proportions
c. t distribution for one-sample proportions
d. Z distribution for one-sample means

34. If you want to test for significance for nominal data, you would use ______.

a. t distribution for one-sample proportions
b. Z distribution for one-sample proportions
c. t distribution for one-sample means
d. Z distribution for one-sample means

35. When testing for significance between a sample and a population in nominal data, the term is the ______.

a. Population proportion
b. Sample means
c. Sample proportion
d. Population mean

36. The probability of failing to reject a null hypothesis that is, in fact, false, is a ______.

a. Type I, or alpha error
b. Critical region
c. Critical value
d. Type II, or beta error

37. The probability of rejecting a null hypothesis that is, in fact, true is a _____.

a. Critical value
b. Critical region
c. Type II, or beta error
d. Type I, or alpha error

38. The Z and t distributions are _____.

a. Different because t is flatter than Z
b. Exactly the same
c. Incomprehensible
d. Different because Z is flatter than t

39. Z (critical) is the _____.

a. Test statistic computed in step four of the hypothesis process
b. Score that marks the mean
c. Score that marks the beginning of the critical region
d. Test that determines the sampling distribution

40. Z (obtained) is the _____.

a. Test that determines the sampling distribution
b. Test statistic computed in step four of the hypothesis process
c. Score that marks the beginning of the critical region
d. Score that marks the mean

41. The critical region is the area _______.

a. Beyond the obtained value
b. Between the mean and the obtained value
c. Between the mean and the critical value
d. Beyond the critical value

42. If you hypothesized that the sample mean was greater than the population mean, you would need to use ______.

a. Two-tailed test
b. Population estimators
c. One-tailed test
d. One-sample proportion test

43. The statement in which you say there is “no difference” between the sample and the population is called the ______.

a. Assumptions statement
b. Research hypothesis
c. Critical region
d. Null hypothesis

44. The statement in which you say there is no difference between the sample and the population is called the ______.

a. Null hypothesis
b. Assumptions statement
c. Critical region
d. Research hypothesis

45. If you state that the sample mean is hypothesized to be less than the population mean, then the critical region should be ______.

a. On the right side of the mean
b. In the center of the distribution
c. One the left side of the mean
d. On both sides of the mean

46. The x-axis refers to the _____.

a. Horizontal axis
b. Vertical axis
c. Coefficient
d. Slope

47. Assuming that the null hypothesis states that the defendant is innocent, if the defendant is found guilty when actually innocent would exemplify a ______.

a. Standard error
b. Standard deviation
c. Type I error
d. Type II error

48. Which group of data would most likely have the lowest standard deviation?

a. The ages of students in a kindergarten class
b. The ages of students in a high school
c. The ages of faculty in a high school
d. The ages of new U.S. Navy recruits

49. Assuming that the null hypothesis states that the defendant is innocent, if the defendant is found not guilty when actually guilty indeed would exemplify a ______.

a. Standard error
b. Standard deviation
c. Type I error
d. Type II error

50. A ______ occurs when rejecting the null hypothesis when it is in fact true.

a. Type I error
b. Type II error
c. Robust regression
d. Poisson regression