Quantitative Lecture 5 Flashcards

Describing and Graphing Data

1
Q

What are the levels of data measurement?

A

Nominal, Ordinal, Interval, Ratio

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2
Q

What is nominal data?

A

Categorical data with no particular order to rank importance.

Examples include Gender (male, female, non-binary, other), Ethnicity (Asian, Black, White), Job Type (Managers, professional, etc.).

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3
Q

What is ordinal data?

A

Data that uses a scale to rank order but does not provide information about the distance between ranks.

Example: position in a race (1st, 2nd, 3rd).

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4
Q

What is interval data?

A

Data that is ordered with equal intervals between values but lacks an absolute zero.

Example: temperature (0°C does not mean no heat).

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5
Q

What is ratio data?

A

Data that has equal intervals and an absolute zero, allowing for meaningful ratios.

Examples include height and scores on an achievement test.

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6
Q

What are descriptive statistics?

A

Statistics used to describe and summarize data from a sample.

They summarize all levels of data and allow comparisons across studies.

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7
Q

What are inferential statistics?

A

Statistics that make inferences and generalizations about a population based on sample data.

Often require interval and ratio data.

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8
Q

What is the mean?

A

The sum of all scores divided by the number of scores in the sample.

Most commonly reported measure of central tendency.

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9
Q

What is the median?

A

The middle score when all scores are arranged in rank order.

Less commonly reported than the mean.

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10
Q

What is the mode?

A

The most frequently occurring score or category of scores.

Useful for categorical variables.

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11
Q

When are the mean, median, and mode identical?

A

They are identical when the distribution of the data is symmetrical and unimodal.

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12
Q

What is the population mean?

A

The typical score in a population.

Example: Population mean for IQ = 104.

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13
Q

What is sampling error?

A

The difference between the sample statistic and the population statistic.

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14
Q

What is a bar chart?

A

A graphical representation used to summarize a categorical variable.

X axis represents the categorical variable, Y axis represents frequency or percentages.

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15
Q

What is a histogram?

A

A type of bar chart for continuous variables, where bars are not separated and have equal width.

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16
Q

What is variability?

A

A measure of how spread out scores are in a dataset.

17
Q

What is the range?

A

The distance between the lowest and highest score in a sample.

Sensitive to outliers.

18
Q

What is the interquartile range?

A

The distance between the upper and lower quartiles in a dataset.

Less affected by outliers.

19
Q

What is the standard deviation?

A

An estimate of the average deviation of scores from the mean.

Most robust measure of dispersion.