Exam 4: Using Descriptive Statistics to Describe Your Study Sample

We have to deal with statistical significance when we do not compare our sample to other people because we are not making any inferences about the ways in which our sample is or not different from a larger population of sample from which our sample was drawn.

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Question 1

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False

Please explain why larger the sample size, the closer the distribution gets to being normal.

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Question 2

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The human traits tend to be distributed normally. While a small sample of people may not show a normal distribution of some trait, such as intelligence or personality, you will usually find that as the sample gets larger, the distribution more and more closely resembles the normal distribution.

In addition to reporting on frequencies and proportions, you can also report the median to a variable measured at the ordinal level.

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Question 3

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It makes sense to display the frequencies of an ordinal variable as a histogram because it visually shows the order of the categories of the variable.

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Question 4

It is customary to report detailed data in tables.

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Question 5

Reporting range, proportion, mean, mode, and median constitute:

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Question 6

When you code the variable of religious affiliation, and when you assign codes such as Muslims = 3, Christians = 2, and Buddhists = 3, these codes are assigned:

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Question 7

The median is the last value when all values are organized from lowest to highest.

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Question 8

The value of p helps us determine the probability that our data can be explained just by chance.

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Question 9

When you report only on the number of clients served and the average time of service provided to these clients in your agency, you are conducting:

(Multiple Choice)

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Question 10

The need to use inferential statistics is because:

(Multiple Choice)

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Question 11

The author of your textbook states the following: "When your data fail to be normally distributed, it will not show the pattern of the bell curve." Please explain.

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Question 12

Descriptive statistics relate to:

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Question 13

The proportion is not the percent of people in a category of a nominal variable.

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Question 14

The purpose of the study, to a large extent, determines the client characteristics you most need to describe. But you are normally expected to report on:

(Multiple Choice)

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Question 15

Descriptive statistics include frequencies, proportions, range, mean, median, and standard deviation.

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Question 16

The cumulative frequency is:

(Multiple Choice)

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Question 17

Variables like gender and ethnicity have categories but are not recorded in any way that is numerical in nature and yet central tendencies like mean can be computed.

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Question 18

Explain the importance of normal distribution for parametric statistics.

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Question 19

A variable is something that is constant.

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Question 20

Showing 1 - 20 of 35

We have to deal with statistical significance when we do not compare our sample to other people because we are not making any inferences about the ways in which our sample is or not different from a larger population of sample from which our sample was drawn.

Please explain why larger the sample size, the closer the distribution gets to being normal.

In addition to reporting on frequencies and proportions, you can also report the median to a variable measured at the ordinal level.

It makes sense to display the frequencies of an ordinal variable as a histogram because it visually shows the order of the categories of the variable.

It is customary to report detailed data in tables.

Reporting range, proportion, mean, mode, and median constitute:

When you code the variable of religious affiliation, and when you assign codes such as Muslims = 3, Christians = 2, and Buddhists = 3, these codes are assigned:

The median is the last value when all values are organized from lowest to highest.

The value of p helps us determine the probability that our data can be explained just by chance.

When you report only on the number of clients served and the average time of service provided to these clients in your agency, you are conducting:

The need to use inferential statistics is because:

The author of your textbook states the following: "When your data fail to be normally distributed, it will not show the pattern of the bell curve." Please explain.

Descriptive statistics relate to:

The proportion is not the percent of people in a category of a nominal variable.

The purpose of the study, to a large extent, determines the client characteristics you most need to describe. But you are normally expected to report on:

Descriptive statistics include frequencies, proportions, range, mean, median, and standard deviation.

The cumulative frequency is:

Variables like gender and ethnicity have categories but are not recorded in any way that is numerical in nature and yet central tendencies like mean can be computed.

Explain the importance of normal distribution for parametric statistics.

A variable is something that is constant.

Why Do We Use Statistics

Using the Computer for Statistical Analysis of Data

Selecting a Statistic to Answer Your Research Question

Analyzing Data With Pretest and Posttest Measurements of One Group

Analyzing Data When You Are Comparing Two Groups

Analyzing Data When You Are Evaluating a Single Client

Explaining Client Gain

A Synopsis of Selected Statistical Tests for Examining Nominal Data

A Synopsis of Selected Statistical Tests for Examining Ordinal Data

Statistics for Evidence-Based Practice

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