Tests and Measurements Exam

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Last updated 2:11 PM on 10/13/26
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40 Terms

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Nominal

No notion of order, magnitude or size

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Ordinal

ranked in order, but the differences between ranked positions are not comparable

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Interval

Equal or common unit of measurement; temperature or IQ

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Ratio

Absolute zero point indicating absence of the trait, e.g. weight or temperature

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Percentile

What % something is compared to others

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Mean

Average

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Median

Middle

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Mode

Most often occurring

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Normal Distribution

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Positively skewed

most values cluster on the left

<p>most values cluster on the left</p>
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Negatively skewed

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Variability

In a set of numbers, how widely dispersed the values are from each other and from the mean

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Standard deviation

How scores vary around the mean

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Z-score

How many standard deviations a value is from the mean, ranges from -3 - +3

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Z = X-M / SD

z score formula

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Correlation

How different variables are related to each other

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Positive relationship

Variables move in the same direction

<p>Variables move in the same direction</p>
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Negative relationship

Variables move in opposite directions

<p>Variables move in opposite directions</p>
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Coefficient of Determination

The squared value of r, represents the proportion of shared variance between 2 variables

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Regression

Method for estimating the relationship between a dependent and independent variable, y = mx + b (for linear relationships)

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Research hypothesis

What you actually believe will occur

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Null hypothesis

A statement that there will be no relationship between variables

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Alternative hypothesis

A statement that there will be a relationship between variables

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Population

The entire group of people or observations in question

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Sample

A subgroup of the population of interest

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Independent variable

Manipulated by the researcher

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Dependent variable

Observed to assess the effect of the experiment

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Independent test

Used to examine the difference in one variable between 2 different groups, e.g. athletes vs non-athletes

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Dependent test

To compare 2 related (paired) groups on one dependent variable, testing the same group twice

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ANOVA

Analysis of variance: can examine with more than 2 groups, e.g. strength test with weights, bands and machines

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Norm-referenced standard

Compared to other people

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Criterion-referenced standard

Compared to a set standard required

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Formative evaluation

Ongoing investigation, e.g. measuring weight each week

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Summative evaluation

end of evaluation, measured at the start and the end

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Placement

Putting people in general groups based on abilities

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Diagnosis

Used to determine weaknesses or deficiencies

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Prediction

Used to predict future events or results from present/past data

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Motivation

Used to motivate students or athletes

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Reliability

information that is accurate and consistent every time

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Validity

How well the data conforms to the constraints of the experiment