# Marketing Chapter 17 To calculate sampling error for a proportion, which of the following pieces of information is not needed?

Document Type
Test Prep
Book Title
Basic Marketing Research 9th Edition
Authors
Gilbert A. Churchill, Tom J. Brown, Tracy A. Suter
Page 15
include percentages along with the raw count for frequency analyses. See 17-1:
Basic Univariate Statistics: Categorical Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.02 - Describe frequency analysis.
DATE CREATED:
7/31/2017 8:21 AM
DATE MODIFIED:
7/31/2017 8:25 AM
35. To calculate sampling error for a proportion, which of the following pieces of information is NOT needed?
a.
The z-score representing the desired degree of confidence
b.
The number of valid cases overall for the proportion
c.
The sample standard deviation
d.
The relevant proportion obtained from the sample
e.
All of these are relevant and necessary pieces of information for the calculation of sampling error for a
proportion.
c
RATIONALE:
All of these are needed to calculate sampling error except the sample standard
deviation. See 17-1: Basic Univariate Statistics: Categorical Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Remember
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.02 - Describe frequency analysis.
DATE CREATED:
7/31/2017 8:28 AM
DATE MODIFIED:
7/31/2017 8:30 AM
36. Which of the following statements concerning confidence intervals is FALSE?
a.
A confidence interval can be inferred when a probabilistic sample is drawn.
b.
A confidence interval is produced by calculating the degree of nonsampling error for the particular statistic.
c.
Precision can be increased by increasing sample size or decreasing the confidence level.
d.
A narrower confidence interval can be obtained by increasing the sample size.
e.
A narrower confidence interval can be obtained by decreasing the degree of confidence desired.
b
RATIONALE:
All of these are true except that a confidence interval is produced by calculating
the degree of nonsampling error for the particular statistic. See 17-2: Basic
Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.04 - Discuss confidence intervals for proportions and means.
Page 16
DATE CREATED:
7/31/2017 8:35 AM
DATE MODIFIED:
7/31/2017 8:37 AM
37. Because ____ and ____ measures are similar when it comes to analysis, many researchers refer to both types as
continuous measures.
a.
b.
c.
d.
e.
a
RATIONALE:
Because interval and ratio measures are similar when it comes to analysis, many
researchers refer to both types as continuous measures. See 17-2: Basic
Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Remember
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 8:39 AM
DATE MODIFIED:
7/31/2017 8:41 AM
38. Descriptive statistics include all of the following measures EXCEPT
a.
median.
b.
confidence intervals.
c.
skewness.
d.
variance.
e.
range.
b
RATIONALE:
Descriptive statistics include all of these except confidence intervals. See 17-2:
Basic Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Remember
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 8:44 AM
DATE MODIFIED:
7/31/2017 8:46 AM
39. For which of the following types of measures does the mean NOT provide a meaningful value?
a.
Ratio
b.
Equal-interval scales
c.
Interval
d.
Ordinal
Page 17
e.
Continuous measures
d
RATIONALE:
All of these are aided with the mean except the ordinal type. See 17-2: Basic
Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Remember
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 8:49 AM
DATE MODIFIED:
7/31/2017 8:51 AM
40. Which of the following statements concerning the sample standard deviation is FALSE?
a.
Sample standard deviation is a measure of the variation in responses.
b.
Analysts reporting descriptive statistics for continuous measures should always report standard deviations
along with mean values.
c.
Standard deviation is meaningful and appropriate only for interval- and nominal-level measures.
d.
An analyst must be aware of the concerns of spurious precision when reporting standard deviations.
e.
Outliers can have a marked effect the calculation of a standard deviation.
c
RATIONALE:
All of these are true except that the standard deviation is meaningful and
appropriate only for interval- and nominal-level measures. See 17-2: Basic
Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 8:54 AM
DATE MODIFIED:
7/31/2017 8:57 AM
41. Which of the following statements if FALSE concerning the conversion of continuous measures to categorical
measures?
a.
When converting, there is no loss of information about a variable.
b.
Because higher levels of measurement have all the properties of measures lower in the hierarchy, conversion is
perfectly acceptable.
c.
In many cases, conversion is advisable for aiding in interpretation of research study results.
d.
Analyses should be performed using the highest level of measurement possible for a particular variable.
e.
A simple solution would be to provide both types of results.
a
RATIONALE:
All of these are true except that when converting, there is no loss of information
about the variable. See 17-2: Basic Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
Page 18
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 9:00 AM
DATE MODIFIED:
7/31/2017 9:02 AM
42. Which of the following is TRUE about hypothesis testing?
a.
The typical goal is to reject the alternative hypothesis in favor of the null hypothesis.
b.
A hypothesis may be rejected but can never be accepted completely.
c.
Marketing research studies attempt to prove results.
d.
The null hypothesis is assumed to be false for the purpose of the test.
e.
All of these are true about hypothesis testing.
b
RATIONALE:
A hypothesis may be rejected but can never be accepted completely. See 17-3:
Hypothesis Testing.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 9:06 AM
DATE MODIFIED:
7/31/2017 9:08 AM
43. The reporting technique for rating scale questions that presents the percentage of respondents who checked one of the
top two positions on a rating scales is known as the
a.
b.
response mashup technique.
c.
expedient analysis technique.
d.
two-box technique.
e.
response alignment technique.
d
RATIONALE:
This describes the two-box technique. See 17-2: Basic Univariate Statistics:
Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Remember
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 9:12 AM
DATE MODIFIED:
7/31/2017 9:14 AM
44. Which of the following would be an appropriate interpretation of a p-value?
a.
A p-value of p < 0.0001 is 'highly significant' and therefore much more valid than a p value of 0.05.
Page 19
b.
When a null hypothesis is rejected at some predetermined p level, sampling error is an unlikely explanation of
the results, given that the null hypothesis is true.
c.
When a p-value shows significance, managerial and practical significance can be assumed.
d.
The probability that the research hypothesis is true is equal to 1 minus the p-value.
e.
A p-value represents the probability that the results occurred because of sampling error.
b
RATIONALE:
When a null hypothesis is rejected at some predetermined p level, sampling error
is an unlikely explanation of the results, given that the null hypothesis is true. See
17-3: Hypothesis Testing.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 9:21 AM
DATE MODIFIED:
7/31/2017 9:23 AM
45. Which of the following statements about hypothesis testing is NOT true?
a.
It is a means for establishing standards for making decisions about whether to accept sample results as valid
for the overall population.
b.
It applies to both univariate and multivariate analyses.
c.
It lets a researcher know with certainty that a sample result is true for the population.
d.
It is generally what marketers begin with when preparing to launch a research study.
e.
All of these are correct.
c
RATIONALE:
All of the statements are true except that it lets a researcher know with certainty
that a sample result is true for the population. See 17-3: Hypothesis Testing.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 9:26 AM
DATE MODIFIED:
7/31/2017 9:29 AM
46. When a sample mean is compared against a standard for a large sample, which statistic is calculated?
a.
t
b.
p
c.
|2
d.
s
e.
z
e
RATIONALE:
z is calculated. See 17-2: Basic Univariate Statistics: Continuous Measures.
POINTS:
1
Page 20
DIFFICULTY:
Easy
REFERENCES:
Remember
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 9:34 AM
DATE MODIFIED:
7/31/2017 9:38 AM
47. Hypothesis testing involves two mutually exclusive hypotheses that are known as
a.
null and alternative.
b.
null and conformative.
c.
primary and alternate.
d.
true and false.
e.
normal and variant.
a
RATIONALE:
These hypotheses are null and alternative. See 17-3: Hypothesis Testing.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 9:46 AM
DATE MODIFIED:
7/31/2017 9:49 AM
48. The FactFinder Research firm conducted a survey for a national food manufacturer, and one of the issues addressed by
the research was to determine how many pounds of fish were annually consumed per capita. In the survey, they found one
person who consumed only one pound of fish per year while 10 people reported 200 pounds per year. The range was
a.
200.
b.
1 to 2,000.
c.
201.
d.
199.
e.
None of these are correct.
d
RATIONALE:
The range was 199. See 17-2: Basic Univariate Statistics: Continuous Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Apply
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 9:52 AM
DATE MODIFIED:
7/31/2017 9:55 AM
49. Which of the following is true regarding the standard deviation?
a.
It indicates the degree of variation in the values in such a way as to be translatable into a normal curve.
Page 21
b.
One standard deviation above and below the midpoint in a normal distribution includes approximately 68% of
the area underneath the curve.
c.
+ or 1.96 standard deviations above and below the midpoint in a normal distribution includes 95% of the
area underneath the curve.
d.
The standard deviation can be approximated by dividing the range of the data by 6.
e.
All of these are correct.
e
RATIONALE:
All of these are correct. See 17-2: Basic Univariate Statistics: Continuous
Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Apply
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 9:59 AM
DATE MODIFIED:
7/31/2017 10:02 AM
50. In the following data set, what is the median? 12, 0, 0, 1, 1, 1, 6, 10, 11.
a.
4.66
b.
1
c.
42
d.
6
e.
0
b
RATIONALE:
The median would be 1. See 17-2: Basic Univariate Statistics: Continuous
Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Apply
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 10:06 AM
DATE MODIFIED:
7/31/2017 10:09 AM
51. Kit Kat candy bar executives make the following statement: "Our most likely estimate of Kit Kat's ad recall rate is
65%. In addition, we are 95% confident that Kit Kat's ad recall rate in the population falls between 62% and 68%." This
illustrates an example of
a.
basic descriptive statistics.
b.
using statistical inference to estimate a population parameter based upon sample statistics.
c.
using statistical inference to estimate a statistic based upon a population parameter.
d.
hypothesis testing.
e.
None of these are correct.
b
RATIONALE:
This is an example of using statistical inference to estimate a population parameter
Page 22
based upon sample statistics. See 17-2: Basic Univariate Statistics: Continuous
Measures.
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Apply
QUESTION TYPE:
Multiple Choice
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 10:13 AM
DATE MODIFIED:
9/21/2017 11:16 AM
52. A sampling procedure is statistically more efficient than another procedure if, for a given sample size, it results in a
larger sampling error.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.01 - Distinguish between univariate and multivariate analyses.
DATE CREATED:
7/31/2017 10:23 AM
DATE MODIFIED:
7/31/2017 10:25 AM
53. The logic of hypothesis testing is that if we assume that the hypothesized value is the population parameter, then, at
the 95% level of confidence, if we took 100 separate samples, the z-value for 95 of those samples would fall between + or
1.96.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 10:28 AM
DATE MODIFIED:
7/31/2017 10:29 AM
54. In very few cases, it's important to report standard deviations along with mean values.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
Page 23
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 10:36 AM
DATE MODIFIED:
7/31/2017 10:37 AM
55. The more confidence we want to have in the interval estimate, the larger the sample size should be.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 10:42 AM
DATE MODIFIED:
7/31/2017 10:43 AM
56. Both nominal and ordinal measures are easily used to group respondents or objects into groups or categories.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.01 - Distinguish between univariate and multivariate analyses.
DATE CREATED:
7/31/2017 10:46 AM
DATE MODIFIED:
7/31/2017 10:50 AM
57. In using percentages for reporting results it is reasonable to report percentages to two decimal places.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 10:57 AM
DATE MODIFIED:
7/31/2017 10:57 AM
Page 24
58. A histogram is a form of bar chart that is based on information from a frequency count.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.01 - Distinguish between univariate and multivariate analyses.
DATE CREATED:
7/31/2017 10:59 AM
DATE MODIFIED:
7/31/2017 10:59 AM
59. You can "prove" that the alternative hypothesis is true if the null hypothesis is rejected.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 11:02 AM
DATE MODIFIED:
7/31/2017 11:02 AM
60. Even if it will help managers interpret results, you should not convert continuous measures to categorical measures.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:03 AM
DATE MODIFIED:
7/31/2017 11:04 AM
61. An outlier is an observation so different from the rest of the observations that the analyst chooses to treat it as a special
case.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
Page 25
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:05 AM
DATE MODIFIED:
7/31/2017 11:06 AM
62. A statistical test to determine whether some observed pattern of frequencies corresponds to an expected pattern is
called a chi-square goodness-of-fit test.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 11:07 AM
DATE MODIFIED:
7/31/2017 11:07 AM
63. Because both nominal and ordinal measures are easily used to group respondents or objects into groups or categories,
researchers often refer to these types of measures as categorical measures.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.01 - Distinguish between univariate and multivariate analyses.
DATE CREATED:
7/31/2017 11:09 AM
DATE MODIFIED:
7/31/2017 11:09 AM
64. Frequency analysis consists of counting the number of cases that fall into the various response categories.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.02 - Describe frequency analysis.
DATE CREATED:
7/31/2017 11:11 AM
Page 26
DATE MODIFIED:
7/31/2017 11:11 AM
65. A histogram is a bar chart that is based on information from a frequency count.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.01 - Distinguish between univariate and multivariate analyses.
DATE CREATED:
7/31/2017 11:14 AM
DATE MODIFIED:
7/31/2017 11:14 AM
66. A sampling interval is a projection of the range within which a population parameter will lie at a given level of
confidence based on a statistic obtained from an appropriately drawn sample.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:16 AM
DATE MODIFIED:
7/31/2017 11:16 AM
67. The confidence interval only takes sampling error into account.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:18 AM
DATE MODIFIED:
7/31/2017 11:18 AM
68. The arithmetic mean value across all responses for a variable is called the standard mean.
a.
True
b.
False
False
Page 27
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:21 AM
DATE MODIFIED:
7/31/2017 11:21 AM
69. The median is the most commonly calculated statistic for both interval- and ratio-level measures.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:23 AM
DATE MODIFIED:
7/31/2017 11:23 AM
70. The hypothesis that a proposed result is not true for the population is called the alternative hypothesis.
a.
True
b.
False
False
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 11:25 AM
DATE MODIFIED:
7/31/2017 11:25 AM
71. An observation so different in magnitude from the rest of the observations that the analyst chooses to treat it as a
special case is called an outlier.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.04 - Discuss confidence intervals for proportions and means.
Page 28
DATE CREATED:
7/31/2017 11:27 AM
DATE MODIFIED:
7/31/2017 11:28 AM
72. The chi-square goodness-of-fit test is a statistical test to determine whether some observed pattern of frequencies
corresponds to an expected pattern.
a.
True
b.
False
True
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
True / False
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.05 - Overview the basic purpose of hypothesis testing.
DATE CREATED:
7/31/2017 11:29 AM
DATE MODIFIED:
7/31/2017 11:29 AM
73. Discuss the most commonly used descriptive statistics.
The most commonly used descriptive statistics for continuous measures (interval- or ratio-
level measures) are the mean or arithmetic average and the standard deviation. The mean is
a measure of central tendency; the standard deviation provides a convenient measure of the
POINTS:
1
DIFFICULTY:
Easy
REFERENCES:
Understand
QUESTION TYPE:
Essay
HAS VARIABLES:
False
LEARNING OBJECTIVES:
17.03 - Describe descriptive statistics
DATE CREATED:
7/31/2017 11:31 AM
DATE MODIFIED:
7/31/2017 11:32 AM

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