Basic Statistics Self Test

Basic Statistics Self Test

University

50 Qs

quiz-placeholder

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Basic Statistics Self Test

Basic Statistics Self Test

Assessment

Quiz

Mathematics

University

Hard

Created by

Joyce Dublin

Used 8+ times

FREE Resource

50 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher is interested in the travel time of CTU students to college. A group of 50 students is interviewed. Their mean travel time is 16.7 minutes. For this study the mean of 16.7 minutes is an example of a:

Parameter

Statistic

Population

Sample

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher is curious about the IQ of students at CTU. The entire group students is an example of a:

Parameter

Statistic

Population

Sample

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Statistical techniques that summarize and organize the data are classified as:

Population statistics

Sample statistics

Descriptive statistics

Inferential statistics

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A sports psychologist was interested in the effects of a six-week imagery intervention on an athlete’s ability to execute a sport-specific skills such penalty taking in football. How might you define the imagery variable?

Independent variable

Dependent variable

Outcome variable

Resultant variable

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Five-point Likert scales (strongly disagree, disagree, neutral, agree, strongly agree) are frequently used to measure motivations and attitudes. A Likert scale is a:

Discrete variable.

Ordinal variable.

Categorical variable.

All of the above options (A, B and C)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a 500m speed skating race, time results would be considered an example of which level of measurement?

Nominal

Ordinal

Interval

Ratio

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

IQ tests are standardized so that the mean score is 100 for the entire group of people who take the test. However, if you select a group of 50 who took the test, you probably would not get 100. What statistical concept explains the difference between the two means?

Statistical error

Inferential error

Residual error

Sampling error

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