Question 1

When sample size (n) is larger than _____, the t-distribution and Z-distribution are almost identical.

Accepted Answer

A)  10 
B)  20 
C)  25 
D)  30 
A)  10 
B)  20 
C)  25 
D)  30 D

Question 2

Define one- and two-tailed univariate tests and describe when each is appropriate. Give an example hypothesis that can be tested with each test.

Accepted Answer

A one-tailed univariate test is appropriate when the researcher has a directional hypothesis implying that an observed mean can only be greater than or less than a hypothesized value. Thus, only one of the "tails" of the bell-shaped normal curve is relevant. For example, the following hypothesis could be appropriately examined with a one-tailed test:
H1: The number of fast food restaurants within the 71201 zip code is greater than five.
A two-tailed test is one that tests for differences from the population mean that are either greater or less. Thus, the extreme values of the normal curve (or tails) on both the right and the left are considered. In practical terms, when a research question does not specify whether a difference should be greater than or less than, a two-tailed test is most appropriate. For example, the following hypothesis could be examined using a two-tailed test:
H2: The number of fast food restaurants within the 71201 zip code is not equal to five.

Question 3

The critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true is called _____.

Accepted Answer

significance level

Question 4

Suppose that a group of 100 consumers are asked to rate how much they liked the taste of a new soft drink on a 5-point scale (where 5 = good taste and 1 = poor taste) and the mean rating was 4.2 with a standard deviation of 1.48. Suppose, further, that the standard error of the mean for this study was 0.15. If you wanted to find the 95 percent confidence interval (two-tailed test), and if the Z-value at the 0.05 level of significance is 1.96, the confidence interval lies between _____.

Accepted Answer

A)  3.91 and 4.49 
B)  4.17 and 4.23 
C)  3.98 and 4.42 
D)  4.00 and 5.00 
A)  3.91 and 4.49 
B)  4.17 and 4.23 
C)  3.98 and 4.42 
D)  4.00 and 5.00

Question 5

A hypothesis test of a proportion is conceptually similar to hypothesis testing when the mean is the characteristic of interest.

Accepted Answer

A) True 
 B)False

Question 6

Compare and contrast significance levels and p-values.

Accepted Answer

A significance level is a critical proba

Question 7

A statement which expresses the opposite of the null hypothesis is called the ______ hypothesis.

Accepted Answer

The answer of A statement which expresses the opposite of...

Question 8

Compare and contrast parametric statistics and nonparametric statistics.

Accepted Answer

The terms parametric statistics and nonp

Question 9

The t-distribution has a mean of ______ and a standard deviation of ______.

Accepted Answer

A)  one; zero 
B)  zero; one 
C)  one; two 
D)  two; one 
A)  one; zero 
B)  zero; one 
C)  one; two 
D)  two; one

Question 10

The symmetrical, bell-shaped distribution that has a mean of zero and a standard deviation of one is called the ______.

Accepted Answer

The answer of The symmetrical, bell-shaped distribution that has a...

Question 11

Univariate statistical analysis tests hypotheses involving only one variable.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following is the key indicator of whether or not a hypothesis can be supported?

Accepted Answer

A)  critical value 
B)  significance level 
C)  chi-square 
D)  degrees of freedom 
A)  critical value 
B)  significance level 
C)  chi-square 
D)  degrees of freedom

Question 13

Multivariate statistic analyses require five or more variables.

Accepted Answer

A) True 
 B)False

Question 14

Nominal scales typically use parametric statistical tests.

Accepted Answer

A) True 
 B)False

Question 15

The researcher using sampling runs the risk of committing two types of errors: Type I and Type II errors.

Accepted Answer

A) True 
 B)False

Question 16

For which statistical test does the formula given below apply?

Accepted Answer

A)  Z-test 
B)  F-test 
C)  Chi-square test 
D)  W-square 
A)  Z-test 
B)  F-test 
C)  Chi-square test 
D)  W-square

Question 17

The appropriate test to use when testing hypotheses involving an observed mean against some specified value is the univariate ______ .

Accepted Answer

The answer of The appropriate test to use when testing...

Question 18

The error caused by failing to reject the null hypothesis when, in fact, the alternative hypothesis is true is called a(n) ______ error.

Accepted Answer

The answer of The error caused by failing to reject...

Question 19

Which of the following tests is conceptually similar to the one used when the mean is the characteristic of interest but that differs in the mathematical formulation of the standard error of the proportion?

Accepted Answer

A)  hypothesis test of a proportion 
B)  c2 test 
C)  goodness of fit test 
D)  degrees of freedom test 
A)  hypothesis test of a proportion 
B)  c2 test 
C)  goodness of fit test 
D)  degrees of freedom test

Question 20

Suppose that past research studies have found that 70 percent of a particular target market segment were aware of the Nike "swoosh" brand mark. If 65 percent of this target market in a sample of 60 people are aware of this brand mark, and if the standard error of the proportion is 0.06, the observed Z-test value is approximately _____.

Accepted Answer

A)  -13.19 
B)  -0.83 
C)  0.83 
D)  13.19 
A)  -13.19 
B)  -0.83 
C)  0.83 
D)  13.19

Exam 21: Univariate Statistical Analysis

When sample size (n) is larger than _____, the t-distribution and Z-distribution are almost identical.

Define one- and two-tailed univariate tests and describe when each is appropriate. Give an example hypothesis that can be tested with each test.

The critical probability associated with a statistical hypothesis test that indicates how likely it is that an inference supporting a difference between an observed value and some statistical expectation is true is called _____.

A hypothesis test of a proportion is conceptually similar to hypothesis testing when the mean is the characteristic of interest.

Compare and contrast significance levels and p-values.

A statement which expresses the opposite of the null hypothesis is called the ______ hypothesis.

Compare and contrast parametric statistics and nonparametric statistics.

The t-distribution has a mean of ______ and a standard deviation of ______.

The symmetrical, bell-shaped distribution that has a mean of zero and a standard deviation of one is called the ______.

Univariate statistical analysis tests hypotheses involving only one variable.

Which of the following is the key indicator of whether or not a hypothesis can be supported?

Multivariate statistic analyses require five or more variables.

Nominal scales typically use parametric statistical tests.

The researcher using sampling runs the risk of committing two types of errors: Type I and Type II errors.

For which statistical test does the formula given below apply?

The appropriate test to use when testing hypotheses involving an observed mean against some specified value is the univariate ______ .

The error caused by failing to reject the null hypothesis when, in fact, the alternative hypothesis is true is called a(n) ______ error.

Which of the following tests is conceptually similar to the one used when the mean is the characteristic of interest but that differs in the mathematical formulation of the standard error of the proportion?

The Role of Business Research

Information Systems and Knowledge Management

Theory Building

The Business Research Process

The Human Side of Business Research: Organizational and Ethical Issues

Problem Definition: the Foundation of Business Research

Qualitative Research

Secondary Data Research in a Digital Age

Survey Research: an Overview

Survey Research: Communicating With Respondents

Observation

Experimental Research

Measurement

Attitude Measurement

Questionnaire Design

Sampling Designs and Sampling Procedures

Determination of Sample Size: a Review of Statistical Theory

Fieldwork

Editing and Coding: Transforming Raw Data Into Information

Basic Data Analysis: Descriptive Statistics

Bivariate Statistical Analysis: Differences Between Two Variables

Bivariate Statistical Analysis: Measures of Association

Multivariate Statistical Analysis

Communicating Research Results: Report Generation, Oral Presentation, and Follow-Up

Filters

The t-distribution has a mean of and a standard deviation of .