The ... variables represent the output or outcome. It is the ... variable whose variation is being studied. ... variables are plotted on the y-axis

Dependent

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The ... variables are controlled inputs, and the variation in the value of the dependent variable is due to the different inputs. ... variables are plotted on the x-axis

Independent

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A ... is a statistical test that is used to determine whether there is enough evidence in a sample of data to infer that a certain condition is true for the entire population

Hypothesis Test

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A ... is a statistic calculated from sample data in order to test a hypothesis about a population

Test Statistic

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A ... is the point (or points) on the scale of the test statistic beyond which we reject the null hypothesis

Critical Value

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The ... or probability value is the probability of obtaining test results at least as extreme as the results actually observed during the test, assuming that the null hypothesis is correct

P value

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... describes the linear correlation between two variables

PMCC

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Product Moment Correlation Coefficient (...)

PMCC

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If you want to test for whether or not the population PMCC is either greater than zero or less than zero, you can use a ... test

One tailed

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If you want to test whether the population PMCC is not equal to zero, you use a ... test

Two Tailed

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Other cards in this set

Card 2

Front

The ... variables are controlled inputs, and the variation in the value of the dependent variable is due to the different inputs. ... variables are plotted on the x-axis

Back

Independent

Card 3

Front

A ... is a statistical test that is used to determine whether there is enough evidence in a sample of data to infer that a certain condition is true for the entire population

Back

Card 4

Front

A ... is a statistic calculated from sample data in order to test a hypothesis about a population

Back

Card 5

Front

A ... is the point (or points) on the scale of the test statistic beyond which we reject the null hypothesis

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