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2010-02
... The Importance of Variability Variability is…the essence of statistics as a discipline and it is not best understood by lecture. It must be experienced (Cobb, 1992) Understanding Variability is •Key component of understanding distribution •Core component of statistical thinking •Essential for makin ...
... The Importance of Variability Variability is…the essence of statistics as a discipline and it is not best understood by lecture. It must be experienced (Cobb, 1992) Understanding Variability is •Key component of understanding distribution •Core component of statistical thinking •Essential for makin ...
Inference for one Population Mean
... Comparison with Confidence Interval The inferences from the hypothesis test and the confidence interval are consistent with each other. If we are 99% confident that 98.1 < µ < 98.4, then the two-sided p-value for the null hypothesis µ = 98.6 must be less than 0.01, and it is. The hypothesis test qua ...
... Comparison with Confidence Interval The inferences from the hypothesis test and the confidence interval are consistent with each other. If we are 99% confident that 98.1 < µ < 98.4, then the two-sided p-value for the null hypothesis µ = 98.6 must be less than 0.01, and it is. The hypothesis test qua ...
Lesson 2 Part 1 Summarizing Summarizing Numerical Data with
... Unlike the variance, the standard deviation is in the same units as the original data The Standard deviation as a measure of variability is appropriate when the mean is used as the measure of central tendency. y A Standard deviation = 0 indicates “no variation” in the data. All of the data have the ...
... Unlike the variance, the standard deviation is in the same units as the original data The Standard deviation as a measure of variability is appropriate when the mean is used as the measure of central tendency. y A Standard deviation = 0 indicates “no variation” in the data. All of the data have the ...