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- 1This is a method of sampling that involves the division of a population into smaller groups based on members' shared attributes or characteristics.Stratified Random Sampling
- 2This is the arranging of experimental units in groups that are similar to one another.Blocking
- 3This is when the researcher divides the population into separate groups, then a random sample of these groups is selected for study.Cluster Random Sampling
- 4A number between −1 and +1 calculated so as to represent the linear dependence of two variables or sets of data.Correlation Coefficient
- 5This is interpreted as the proportion of the variance in the dependent variable that is predictable from the independent variable.Coefficient of Determination
- 6This is a subset of a population in which each member of the subset has an equal probability of being chosen for study.Random Sample
- 7This is a set of n subjects in a population where all possible samples of size n are equally likely to be chosen for study.Simple Random Sample
- 8This happens when there is a significant difference between those who responded to your survey and those who did not.Non-Response Bias
- 9This occurs when some members of the population are inadequately represented in the sample.Undercoverage Bias
- 10When P(A and B) = 0Mutually Exclusive Events
- 11When P(A | B) = P(A)Independent Events
- 12This density curve has n>1 and is centered at the Population ProportionSampling Distribution of SampleProportions
- 13This density curve has n>1 and has a standard deviation of σ/√nSampling Distribution of Sample Means
- 14The rejection of a true null hypothesis.Type I error
- 15The retaining of a false null hypothesis.Type II error
- 16The probability of rejecting the null hypothesis when in fact it is false.Power
- 17If the study was repeated many times on samples of the same size, this percentage of the constructed intervals would contain the population parameter.Confidence Level
- 18A range of values that has a specified probability that the parameter lies within it.Confidence Interval
- 19Conclusion made when p-value < significance levelReject Null
- 20Conclusion made when p-value > significance levelFail to Reject Null
- 21The probability, given there is no actual difference, that the observed summary statistic would be the same or greater in magnitude by natural sampling variationP-value
- 22In this test, the test statistic is calculated as:2 Sample Z Test for Mean Differences
- 23In this test, the test statistic is calculated as:2 Sample T Test for Mean Differences with Matched Pair
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- Fichas sobre Sin título, creado por APRIL REANY el 20/04/2018.
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