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23 Cards in this Set
- Front
- Back
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As stated by _______ & _________, a term statistics for many forbodes evil |
Kubyszyn Borich |
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Are major part of data |
Statistical test |
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2 types of statistics |
Descriptive statistics Inferential statistics |
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The easy side of statistics |
Descriptive statistics |
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More complicated and is best taught in more advanced courses |
Inferential Statistics |
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Different statistical measures or instruments that may be used in the research studies (6) |
Mean Median Standard Deviation Chi-square distribution F-test T-test |
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Is what people usually intend when they say average |
Mean |
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Is known as the measure of location |
Median |
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Is the score in the middle |
Median |
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Measure the spread of data about the mean value |
Standard deviation |
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It is useful in comparing sets of data which may have the same mean but different range |
Standard deviation |
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Is obtained from the values of the ratio if the sample variance and population variance multiplied by the degrees of freedom |
Chi-square distribution |
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Properties of chi-square |
The chi-square is non-negative The chi-square is non-systematic There are many different chi-square distributions, one for each degree freedom The degree of freedom when working on a single population variance is n-1 |
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Is designed to test if two population variances are equal |
F-test |
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Assesses whether the means of two groups are statistically different from each other |
T-test |
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This analysis is appropriate whenever you want to compare the means of two groups and especially appropriate as the analysis for the post test only two groups randomized experimental design |
T-test |
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Is a collection of statistical models, and their associated procedures, in which observe variances is partitioned into components due to different explainatory variables |
Analysis of Variance (ANOVA) |
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Types of Anova |
One-way anova One-way anova for repeated measures Factorial anova Factorial mixed-design anova Multivariate analysis of variance (MANOVA) |
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Is used to test for differences among two or more independent group |
One-way anova |
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Is used when subject are subjected to repeat measures, this means the same subject are for each treatment |
One-way anova for repeated measures |
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Is used when the researcher or experimenter wants to study the effects of two or more treatment variables |
Factorial anova |
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In which one factor is independent and the other is repeated measures |
Factorial mixed design anova |
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Is used when there is more than one dependent variables |
Multivariate analysis of variance |
