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Emil Pulido on Quantitative Research: Inferential Statistics

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What do you need to consider when you will be doing Quantitative Research? You will need to consider your data- statistics.

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Inferential Statistics ,[object Object],[object Object],[object Object],[object Object]
Concepts underlying the application of Inferential Statistics: ,[object Object],√ N - 1 ___________________________ SD (S E x ̅ ) =
[object Object],[object Object],[object Object],[object Object],[object Object]
The Null Hypothesis: ,[object Object],[object Object]
Tests of Significance ,[object Object],[object Object],[object Object]
Back to Null Hypothesis ,[object Object],[object Object]
Probability level most commonly used: ,[object Object],[object Object],[object Object]
Two-tailed and One-Tailed tests ,[object Object],[object Object],[object Object],[object Object]
Degrees of Freedom : ,[object Object],[object Object],[object Object]
Types of Tests of Significance (choose the correct type) ,[object Object],[object Object]
The t test : ,[object Object]
[object Object],[object Object]
[object Object],[object Object]
- you can also use SPSS 12. 0 to calculate t test for independent and non independent samples ,[object Object],[object Object]
An F ratio is computed: here are the two
[object Object],[object Object]
The Scheff é formula ,[object Object]
Factorial Analysis of Variance is a statistical technique that : ,[object Object],[object Object]
Analysis of Covariance (ANCOVA) ,[object Object]
Multiple regression equation : ,[object Object]
Chi Square (X2): a nonparametric test of significance ,[object Object],[object Object]
One Dimensional Chi square- can be used to compare frequencies in different categories Two-Dimensional Chi square- used when frequencies are categorized along more than one dimension ,[object Object]
[object Object]

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Emil Pulido on Quantitative Research: Inferential Statistics

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