Frequency Table and Graphical Presentations Flashcards

1
Q

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

A

Data

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2
Q

Refers to all data collected in particular study.

A

Data set

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3
Q

Are the entities on which data are collected.

A

Elements

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4
Q

Is a characteristic of interest for the elements

A

Variable

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5
Q

Is a set of measurements obtained for a particular element.

A

Observation

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6
Q

Are labels or names used to identity an attribute of each element.

A

Qualitative data

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7
Q

Are numeric values that indicate how much or how many.

A

Quantitative data

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8
Q

Are data collected at the same or approximately the same point in time.

A

Cross-sectional data

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9
Q

Are data collected over several time periods.

A

Time series data

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10
Q

Are data with elements of both cross-sectional and time series data.

A

Pooled data

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11
Q

Are data with the same cross-sectional unit, say, a family or firm, and is surveyed over time.

A

Panel data

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12
Q

is a tabular summary of data showing the number (frequency) of items in each of several nonoverlapping classes

A

Frequency Distribution

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13
Q

is tabular summary of data showing the relative frequency for each class

A

Relative Frequency Distribution

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14
Q

is a tabular summary of data showing the percent frequency for each class.

A

Percent Frequency Distribution

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15
Q

is a graphical device depicting data that have been summarized in a frequency, relative frequency, or percent frequency distribution.

A

Bar Graph

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16
Q

is a graphical device for presenting relative frequency and percent frequency distributions.

A

Pie Chart

17
Q

identifies the smallest possible data value assigned to the class.

A

Lower
class limit

18
Q

identifies the largest possible data value assigned to the class.

A

Upper Class Limit

19
Q

is a graphical presentation of the relationship between two quantitative variables.

A

Scatter Diagram

20
Q

is the average of all values. It is useful in analyzing interval and ratio data. The mean is derived by adding all the values and dividing the sum by the number of cases.

A

Mean

20
Q

is the average of all values. It is useful in analyzing interval and ratio data. The mean is derived by adding all the values and dividing the sum by the number of cases.

A

Mean

21
Q

is the value in the middle when the data are arranged from highest to lowest.

A

Median

22
Q

is the most frequently occurring in a set of figures or value that occurs with greatest frequency.

A

Mode

23
Q

is a simple measure of variation calculated as the highest value in a distribution, minus the lowest value plus 1.

A

Range

24
Q

a measure of variability that utilizes all the data. It is based on the difference between the value of each observation (xi) and the mean.
Variance

A

Variance

25
Q

defined as the positive square root of the variance

A

Standard Deviation

26
Q

The mean is not appropriate for highly skewed distributions and is less efficient than other measures of central tendency when extreme scores are possible.

A

TRUE

27
Q

The geometric mean is a viable alternative if all the scores are positive and the distribution has a positive skew.

A

TRUE

28
Q

Distributions with positive skew are sometimes called “skewed to the right”.

A

TRUE

29
Q

Very High positive (negative) correlation

A

0.90 to 1.00 (-0.90 to -1.00)

30
Q

High positive (negative) correlation

A

0.70 to 0.90 (-0.70 to -0.90)

31
Q

Moderate postive (negative) correlation

A

0.50 to 0.70 (-0.50 to -0.70)

32
Q

Little if any correlation

A

0.00 to 0.30 (-0.00 to -0.30)