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A statistical test of the null hypothesis.
*It compares two means |
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| the totality of individuals about which inferences are to be made within a definitely specified sampling area limited in space and time |
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| the error caused by using a sample instead of a population |
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| a statement that attempts to answer our question of interest |
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| the variable which is defined by the investigator prior to the experiment, often manipulated or altered by the investigator, and is typically considered the most important variable by which to test the hypothesis. It often defines the differences in the groups being compared (e.g. males vs. females; exercise vs. not exercise) |
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| the variable which is measured or observed in response to the experimental conditions (e.g. height and pulse rate were observed) |
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| variables which could serve as alternative independent variables. Although not being tested in the experiment, these variables could have a significant effects on the outcome. These variables must be kept constant (controlled) throughout experiment. |
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| says, "these is NO statistical difference" between the two groups. |
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| says, "YES, there IS a statistical difference between the two groups." |
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| an estimate of some population parameter, determined by random sampling of the population |
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| a measurement of dispersion of a distribution around the mean; the distance between the lowest and highest data points |
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| the group which receives no treatment. It serves as a benchmark that the investigator will use to determine if the predicted effect is actually due to the independent variable |
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| precision. Turning up the nearly the same value over multiple calculations. "I got that answer too!" |
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| The probability that the null hypothesis is correct.The probability that the two means are identical. |
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