Quantitative Research Techniques and Statistics, Exams of Business Statistics

A wide range of topics related to quantitative research techniques and statistics, including sampling methods, probability concepts, sampling distributions, hypothesis testing, analysis of variance, and decision analysis. It provides an in-depth exploration of statistical concepts and their applications in business and research settings. The document delves into the fundamentals of statistical inference, such as parameter estimation, significance levels, confidence intervals, and the central limit theorem. It also covers advanced topics like factorial experiments, bayesian analysis, and the expected value of perfect information. This comprehensive resource would be valuable for students and researchers seeking to enhance their understanding of quantitative research methodologies and their practical implementation.

Typology: Exams

2024/2025

Available from 09/19/2024

QUIZBANK01
QUIZBANK01 🇺🇸

4.9

(9)

4.3K documents

1 / 8

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
1 / 5
BMAL 590 Quantitative Research Techniques and Statistics
1.A company has developed a new computer sound card whose average lifetime is
unknown. In order to estimate this average, 200 sound cards are randomly selected
from a large production line and tested; their average lifetime is found to be 5 years.
The five years represents a: Statistics
2.A summary measure that is computed from a population is called a: Para- meter
3.Which of the following is a measure of the reliability of a statistical infer- ence?: A
significance level
4.The process of using sample statistics to draw conclusions about popula- tion
parameters is called: Doing inferential statistics
5.Which of the following represents a population, as opposed to a sample?: All
registered voters in the State of Michigan
6.A study in under way to determine the average height of all 32,000 adult pine trees in
a certain national forest. The heights of 500 randomly selected adult pine trees are
measured and analyzed. The sample in this study is: The 500 adult pine trees
selected at random selected at random from this forest
7.The significance level of a statistical inference measures: The proportion of times
a conclusion about a population will be wrong in the long run
8.The confidence level of a statistical inference measures: The proportion of times
an estimation procedure will be correct in the long run
9.A marketing research firm selects a random sample of adults and asks them a list of
questions regarding their beverage preferences. What type of data collection is
involved here?: A survey
10.Which of the following statements is true regarding the design of a good survey?:
All of these choices are true
11.Which method of data collection is involved when a researcher counts and records
pf3
pf4
pf5
pf8

Partial preview of the text

Download Quantitative Research Techniques and Statistics and more Exams Business Statistics in PDF only on Docsity!

BMAL 590 Quantitative Research Techniques and Statistics

1. A company has developed a new computer sound card whose average lifetime is

unknown. In order to estimate this average, 200 sound cards are randomly selected from a large production line and tested; their average lifetime is found to be 5 years. The five years represents a: Statistics

2. A summary measure that is computed from a population is called a: Para- meter

3. Which of the following is a measure of the reliability of a statistical infer- ence?: A

significance level

4. The process of using sample statistics to draw conclusions about popula- tion

parameters is called: Doing inferential statistics

5.Which of the following represents a population, as opposed to a sample?: All

registered voters in the State of Michigan

6.A study in under way to determine the average height of all 32,000 adult pine trees in

a certain national forest. The heights of 500 randomly selected adult pine trees are measured and analyzed. The sample in this study is: The 500 adult pine trees selected at random selected at random from this forest

7. The significance level of a statistical inference measures: The proportion of times

a conclusion about a population will be wrong in the long run

8. The confidence level of a statistical inference measures: The proportion of times

an estimation procedure will be correct in the long run

9.A marketing research firm selects a random sample of adults and asks them a list of

questions regarding their beverage preferences. What type of data collection is involved here?: A survey

10.Which of the following statements is true regarding the design of a good survey?:

All of these choices are true

11.Which method of data collection is involved when a researcher counts and records

the number of students wearing backpacks on campus on a given day?: Direct observation

12. The difference between a sample mean and the population mean is called-

: Sampling error

13.The manager of the customer service division of a major consumer elec- tronics

company is interested in determining whether the customers who have purchased a videocassette recorder over the past 12 months are satisfied with their products. If there are four different brands of videocassette recorders made by the company, the best sampling strategy would be to use a: Stratified random sample

14.When every possible sample with the same number of observations is equally

likely to be chosen, the result is called a: Simple random sample

15.Which of the following types of samples is almost always biased?: Self-se- lected

samples

16.Which of the following is an example of a nonsampling error?: All of these choices

are true

17.Which of the following situations lends itself to cluster samples?: All of these

choices are true

18.Which of the following causes sampling error?: Taking a random sample from

a population instead of studying the entire population

19.Which of the following describes selection bias?: Some members of the target

population are excluded from possible selection for the sample

20.An approach of assigning probabilities which assumes that all outcomes of the

experiment are equally likely is referred to as the: Classical approach

21.The collection of all possible outcomes of an experiment is called: A sample

space

22.If event A and event B cannot occur at the same time, then A and B are said to be:

Mutually exclusive

23.Which of the following best describes the concept of marginal probabili- ty?: It is a

equal to 5

37.The standard deviation of p is also called th: eStandard error of the sample

proportion

38. If two populations are normally distributed, the sampling distribution of the

difference in the sample means, x 1 - x :2Eixsactly normal for any sample sizes

39.If two random samples of sizes n1 and n2 are selected independently from two

populations with means ¼ 1 and ¼ 2 t,hen the mean of x 1 - x 2 equ: ¼al 1 s - ¼

40.If two random samples of sizes n1 and n2 are selected independently from two non-

normally distributed populations, then the sampling distribution of the sample mean difference, x 1 - x: Is 2 approximately normal only if n1 and n are both larger than or equal to 30

41.The standard deviation of x 1 - x 2 is also called: tShteandard deviation of

the difference between the population means

42.The hypothesis of most interest to the researcher is: The alternative hypoth- esis

43.A Type I error occurs when we: Reject a true null hypothesis

44.A Type II error is defined as: Not rejecting a false null hypothesis

45. Which of the following probabilities is equal to the significance level

±?: Probability of making a Type I error

46.If we reject the null hypothesis, we conclude that: There is enough statistical

evidence to infer that the alternative hypothesis is true

47.Statisticians can translate p-values into several descriptive terms. Sup- pose you

typically reject H0 at level 0.05. Which of the following statements is correct?: All of these choices are true

48.The p-value of a test is the: Smallest ±at which the null hypothesis can be

rejected

49.The numerical quantity computed from the data that is used in deciding whether

to reject H0 is the: Test statistic

50.For a given level of significance, if the sample size increases, the proba- bility of a

Type II error will: Decrease

51.The power of a test is measured by its capability of: Rejecting a null hypoth- esis

that is false

65.In one-way analysis of variance, between-treatments variation is measured by the:

SST

66.When is the Tukey multiple comparison method used?: To test for differ- ences

in pairwise means

67.In Fisher's least significant difference (LSD) multiple comparison method, the LSD

value will be the same for all pairs of means if: All sample sizes are the same

68.Fisher's least significant difference (LSD) multiple comparison method is flawed

because: It will increase ±t;he probability of committing a Type I error

69.When the objective is to compare more than two populations, the experi- mental

design that is the counterpart of the matched pairs experiment is called a: Randomized block design

70.The primary interest of designing a randomized block experiment is to: - Reduce

the within-treatments variation to more easily detect differences among the treatment means

71.A complete 3 x 2 factorial experiment is called balanced if: The number of

replicates is the same for each of the 6 treatments

72.In a two-factor ANOVA, there are 4 levels for factor A, 5 levels for factor B, and 3

observations for each combination of factor A and factor B levels. The number of treatments in this experiment equals: 20

73.A tabular presentation that shows the outcome for each decision alterna- tive

under the various states of nature is called a: Payoff table

74.Which of the following would be considered a state of nature for a business firm?:

Worker safety laws

75.A payoff table lists the monetary values for each possible combination of the:

Event (state of nature) and act (alternative)

76.Which of the following is true?: All of these choices are true

77.Which of the following statements is false regarding the expected mone- tary

value (EMV)?: In general, the expected monetary values represent possible payoffs

78.Which of the following statements is correct?: All of these choices are true

79.The expected value of perfect information is the same as the: Expected

opportunity loss for the best alternative

80. The expected value of sample information (EVSI) is the difference between-

: The expected monetary value with additional information (EMV') and the expected monetary value for the best decision (EMV*)

81.The procedure for revising probabilities based upon additional information is

referred to as: Bayes' Law

82.The difference between expected payoff under certainty and expected val- ue of the

best act without certainty is the: Expected value of perfect information