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1F: MIDTERM REFRESHER IN PSYCHOLOGICAL STATISTICS

Authored by Aomame Kun

Philosophy, Mathematics, Science

University

Used 108+ times

1F: MIDTERM REFRESHER IN PSYCHOLOGICAL STATISTICS
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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A scale that measures a variable with an absolute zero value, magnitude and equal intervals is ____.

Nominal

Ordinal

Interval

Ratio

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is the correct sequence in solving for mathematical operations?

Parenthesis -> Squaring -> Multiplication or Division (from left to right) -> Summation ->   Addition or Subtraction

Parenthesis -> Summation -> Multiplication or Division (from left to right) -> Squaring ->   Addition or Subtraction

Parenthesis -> Squaring -> Addition or Subtraction -> Summation ->   Multiplication or Division (from left to right)

Parenthesis -> Summation -> Squaring -> Multiplication or Division (from left to right) -> Addition or Subtraction

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

5, 661

6, 561

8, 281

7, 056

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A set of eight scores consists of values 10, 15, 20, 25 and 30. Identify and compute for:  (X-2)

88

88

98

90

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Refers to a set of individuals selected from a population, usually intended to represent the population in a research study.

Inferences

Generalizations

Sample

Number of Scores

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A characteristic or condition that changes or has different values for different individuals. Specific characteristics of individuals (height, weight, gender, personality, etc.) or outside factors/ environmental conditions that change (temperature, time of the day, size of the room in which an experiment is conducted) that may influence them.

Data

Sample

Treatment Conditions

Variables

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A naturally occurring discrepancy, or error, that exists between a sample statistic and the corresponding population parameter.

Inferential error

Descriptive error

Significant error

Sampling error

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