MIDTERM 01 - Statistics Flashcards

1
Q

The science of collecting, analyzing, presenting, and interpreting data

A

Statistics

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2
Q

Are the facts and figures that are collected, analyzed, and summarized for presentation and interpretation

A

Data

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3
Q

Measures either how much or how many of something

A

Quantitative data

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4
Q

Provide labels, or names, for categories of like items

A

Qualitative data

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5
Q

Is a method for organizing and summarizing data

A

Descriptive statistics

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6
Q

Descriptive value for a population

A

Parameter

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7
Q

Descriptive value for a sample

A

Statistic

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8
Q

Is a method for using sample data to make general conclusions about populations

A

Inferential statistics

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9
Q

The entire group of individuals

A

Population

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10
Q

Is selected to represent the population in a research study

A

Sample

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11
Q

Is any characteristic, number, or quantity that can be measured or counted

A

Variable

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12
Q

Consists of indivisible categories

A

Discrete variable

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13
Q

Are infinitely divisible into whatever units a researcher may choose

A

Continuous variable

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14
Q

The process of measuring a variable requires a set of categories called __________

A

Levels of measurement

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15
Q

Data created by assigning observations into various independent categories

A

Nominal

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16
Q

A scale in which scores indicate only relative amounts or rank order

A

Ordinal

17
Q

A scale in which equal differences in scores represent equal differences in amount of the property measured, but with an arbitrary zero point

A

Interval

18
Q

All the properties of an interval scale with the additional property of zero or absolute zero

A

Ratio

19
Q

A sampling technique where every unit in the population has a chance of being selected in the sample

A

Probability sampling techniques

20
Q

All members of the population have a chance of being included in the sample

A

Simple random sampling

21
Q

The sampling frame is ordered according to some criteria

A

Systematic sampling

22
Q

This method is used when the population is too big to handle

A

Stratified random sampling

23
Q

A sampling technique where some units of the population have zero chance of selection

A

Non-probability sampling technique

24
Q

Is a form of non-probability sampling in which the researchers rely on their own judgment

A

Purposive sampling

25
Q

Provides the information of the number of occurences of distinct values distributed within a given period of time or interval

A

Frequency distribution table

26
Q

Is the most popular and well-known measure of central tendency

A

Mean/average

27
Q

Is the middle score for a set of data that has been arranged in order of magnitude

A

Median

28
Q

Is the most frequent score in the data set

A

Mode

29
Q

Is the difference between the largest and smallest values in a set of values

A

Range

30
Q

Is a quantity calculated to indicate the extent of deviation for a group as a whole

A

Standard deviation

31
Q

Is a measure of relative variability

A

Coefficient of variation

32
Q

Is a bell-shaped frequency distribution curve

A

Normal distribution

33
Q

Measured how many deviation a given value is above or below the mean

A

Z-score

34
Q

Refers to the statistical relationship between two entities

A

Correlation

35
Q

Measures the strength of the linear relationship

A

Pearson product moment correlation coefficient

36
Q

Is a non-parametric measure of the strength and direction of association that exists between two variables measured on at at least an ordinal scale

A

Spearman rank-order correlation coefficient