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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