Basic Statistics Concepts and Hypothesis Testing
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1. A mean score of 5.4 with SD of 1.6, where would 68% fall? a.between 3.8 and 7.0 or b.between 5.4 and 7.0?
2.Descriptive stats related to variabitity helps you evaluate what of a sample? a.the homogeneity or heterogeneity of the sample, b.the sampling error,c.the t test or d.meta analysis
3.is rating job satisfaction on 5 point scale 1=very satisfied, etc ordinal?
4.what does a SD of 3.73mean in terms of scores?
5. If the SD score was larger, how would you interpret the score in terms of homogeneity or heterogeneity of the sample? (study critical thinking in nursing students on a six item measure)
If females and males have mean score of 23 on critical thinking test but females had a SD of 7 and males of 3, what can you conclude about the males in terms of homogeneity of the sample?
6.what is a null hypothesis in a group a and group b(one gets flu shots and one nil)
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The expert examines basic statistics concepts and hypothesis testing.
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1.
According to the 68-95-99.7 rule, 68% of the data falls within 1 SD from the mean.
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1. A mean score of 5.4 with SD of 1.6, where would 68% fall? a. between 3.8 and 7.0 or b. between 5.4 and 7.0?
Solution:
According to the 68-95-99.7 rule, 68% of the data falls within 1 SD from the mean.
Thus for the given distribution, 68% of the data is expected to fall between 3.8 and 7.0.
2. Descriptive stats related to variability helps you evaluate what of a sample? a. the homogeneity or ...
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- MSc, Indian Institute of Technology - Roorkee (I.I.T.-ROORKEE)
- BSc, Banaras Hindu University
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