Region of acceptance is area of sampling distribution generally defined by the mean +/–2 SD or 95% of the distribution; results falling in this region imply that our sample belongs to the sampling distribution defined by the H0 and result in the researcher retaining the H0.
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True
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Cohen’s d is often used when examining ______ because it is in standard deviation units.
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Means
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When we find statistical significance it suggests that our results were ______.
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Not due to chance alone and do not belong to the sampling distribution defined by the null hypothesis
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The sampling distribution is defined by the ______.
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Null hypothesis
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______ and ______ are effect sizes.
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Cohen’s d; proportion of variability accounted for
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The effect size is a measure of the ______.
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Strength or magnitude of a relationship or difference
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The difference between one-tailed and two-tailed hypotheses is ______.
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A one-tailed hypothesis predicts the direction of the difference and a two-tailed hypothesis does not.
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If you reject the null hypothesis at p < .02, the probability of a Type I error is ______ and the probability of a Type II error is ______.
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2%; zero
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Inferential statistics refer to statistics used to ______.
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Analyze data from a sample to draw conclusions about a population from which the sample was drawn
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A confidence interval tells you ______.
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The margin of error of your results
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In the hypothesis testing process, the researcher first ______.
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States the null and alternative hypotheses
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A measure of effect size; describes the mag-nitude of the effect of our IV (or predictor) on the DV (or outcome) in standard deviation units is cohen's d
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True
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Chi square goodness of fit is a nonparametric test used with one nominal variable having two or more categories; tests whether the observed frequencies of the categories reflect the expected population frequencies.
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True
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The variability among the scores of participants created by individual or participant differences even under the same conditions is called within group variance
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True
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The probability of incorrectly retaining a false H0 is type ___ error
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II
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The probability of the significance level of your findings is called type ___ error
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I
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A hypothesis stating that results from a sample will differ from the population or another group but without stating how the results will differ is called ___ tailed hypothesis
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Two
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Statistical significance is when the results of a study fall in the extreme ____% of the sampling distribution, suggesting that the obtained findings are not due to chance alone and do not belong to the sampling distribution defined by the H0.
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5
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Population standard deviation is called
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Sigma
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The ability of a measurement instrument to detect differences is called sensitivity
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True
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A distribution of some statistic obtained from multiple samples of the same size drawn from the same population is called Sampling distribution
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True
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Region of rejection is the extreme ____(generally) of a sampling distribution; results falling in this area imply that our sample does not belong to the sampling distribution defined by the H0and result in the researcher rejecting the H0and accepting the Ha
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5%
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The usefulness or everyday impact of results is practical significance
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True
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The ability to reject the null hypothesis when it is, in fact, false is called
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Power
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Statistics from a population is parameters
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True
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A hypothesis stating the direc-tion (higher or lower) in which a sample statistic will differ from the population or another group is ___ tailed hypothesis
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One
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A prediction of no difference between groups; the hypothesis the researcher expects to reject is called ___ hypothesis
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Null
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Population mean is represented by
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Mu
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____ statistical analysis of data gath-ered from a sample to draw conclusions about a population from which the sample is drawn.
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Inferential
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The process of determining the probability of obtaining a particular result or set of results is hypothesis testing
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True
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An alternative hypoth-esis used in experiments and stated in terms of differences between groups is called experimental hypothesis
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True
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Strength or magnitude of the effect of a variable, or the strength of the relationship between ___ variables is effect size
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Two
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The value of a statistic that defines the extreme 5% of a distribution for a one-tailed hypothesis or the extreme 2.5% of the distribution for a two-tailed test is called
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Critical value
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The percentage of a sampling distri-bution that the researcher selects for the region of rejec-tion; typically researchers use 5% (p < .05) is called criterion level
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True
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An estimation of the range of values within which the scores will fall (margin of error) is confidence interval
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True
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Alternative hypothesis is a prediction of what the researcher expects to find in a study. Often called an “experimental hypothesis” in experimental research and stated in terms of differences between groups.
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True
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