Quantitative Descriptive Statistics Flashcards

1
Q

The practice or science of collecting and analyzing numerical data in large quantities. It summarizes data from a sample.

A

Statistics

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2
Q

It provides a standardized method and procedure for summarizing and organizing all cases of one quantitative variable.

A

Descriptive Statistics

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3
Q

Numbers that summarize data for an entire population.

A

Parameters

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4
Q

It is the most commonly used descriptive statistic and it is defined as the number of times a particular value of a variable occurs.

A

Frequencies

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5
Q

The two fundamental types of numerical data.

A

Quantitative data and Categorical data

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6
Q

It is obtained when the variable being studied is measured along a scale that indicates how much of the variable is present. It is also reported in terms of scores.

A

Quantitative data

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7
Q

Indicates the total number of objects, individuals, or events a researcher finds in a particular category. Some examples are race, sex, and age group.

A

Categorical data

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8
Q

It is a theoretical distribution that is symmetrical and in which a large proportion of the scores are concentrated in the middle.

A

Normal distribution

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9
Q

Described as an asymmetrical type of curve. It is also the degree to which the distribution of data is bunched to one side or the other.

A

Skewness

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10
Q

Shows a distribution in which there are hardly any scores on the right side of the distribution.

A

Positively Skewed Curve

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11
Q

There are very few low scores — the long tail

pointing to the left indicates this.

A

Negatively Skewed Curve

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12
Q

A table that helps researchers create a visual representation of the distribution. This is done by listing the scores in order, from highest to lowest, with tallies to indicate the number of times each score occurs.

A

Frequency distribution

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13
Q

What are the ways to measure quantitative data?

A

Number of cases, Measures of central tendency, and Measures of dispersion

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14
Q

The number of cases for which data are reported is represented by the letter _____.

A

N

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15
Q

__________ is used to collect data from large populations and generalize the statistics to the broader population in an externally valid way.

A

Sampling

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16
Q

True or False: A normal distribution exhibits zero skewness.

A

True

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17
Q

True or False: In a distribution that contains an uneven number of scores, the MEAN is the middlemost score (provided that the scores are listed in order).

A

False

18
Q

True or False: You can use Z-Scores ad T-Scores anytime even if the distribution is not normal enough to make the conversion to percentages or probabilities become legitimate.

A

False

19
Q

True or false: T-scores are the simplest form of standard scores.

A

False

20
Q

The primary summary form of data.

A

Measures of Central Tendency

21
Q

_____ is the most common measure of central tendency. It is determined by
adding up all of the scores and then dividing this sum by the total number of
scores.

A

Mean

22
Q

True or false: “Cognitive Research” seeks to determine whether a relationship exists between two quantitative variables.

A

False

23
Q

In a distribution that contains an uneven number of scores, the ______ is the middlemost score (provided that the scores are listed in order).

A

Median

24
Q

The ______ is the score that appears most often in a dataset.

A

Mode

25
Q

It indicates the spread of the scores in a distribution. This information helps us see how dispersed the responses are to items on an instrument.

A

Measures of Dispersion

26
Q

The difference between the highest and the lowest scores to items on an instrument.

A

Range

27
Q

________________ is the most useful index of variability. It is a single number that represents the spread of a distribution.

A

Standard Deviation

28
Q

A percent stated in decimal form and refers to the likelihood of an event occurring.

A

Probability

29
Q

These scores are particularly helpful in

comparing an individual’s relative position on different instruments.

A

Standard scores

30
Q

The two standard scores that are most frequently used in educational research are _________ and __________.

A

z scores and T scores

31
Q

True or False: When the distribution of scores is normal, both T scores and z scores can be
interpreted in terms of percentile ranks because there is a direct relationship between the two.

A

True

32
Q

True or False: It should be remembered that only when the distribution is normal that
the conversion to percentages or probabilities become legitimate.

A

True

33
Q

It seeks to determine whether a relationship exists between two quantitative variables. Doing so can be helpful to researchers in
prediction and to identify causation.

A

Correlation

34
Q

It uses the symbol r, equivalent to the degree of relationship between two sets of scores/variables.

A

Correlation Coefficients

35
Q

_____ is used when a scatterplot shows a nonlinear (curvilinear) relationship.

A

Eta

36
Q

True or False: Pearson Product-Moment Coefficient is the most frequently used
correlation coefficients, symbolized as Pearson r.

A

True

37
Q

Also known as “cross tabulation”, it is used when the data can be divided between categorical variables.

A

Cross-break Tables

38
Q

_________ summarize quantitative data and information in graphs, charts, or pictures that show the relation among scores or variables.

A

Figures

39
Q

True or False: Scatterplots and Line Graphs show relationships and interactions between two variables.

A

True

40
Q

________ and ________ are constructed by default as an output and visual presentation of the frequencies of data. They are used to depict trends and distributions of data.

A

Bar Graphs and Pie Charts