The statistician, Karl Pearson, introduced kurtosis as a measure of how flat or

Question

The statistician, Karl Pearson, introduced kurtosis as a measure of how flat or "peaked" the top of a symmetric distribution is when compared to a normal distribution of the same variance. He referred to more flat-topped distributions as ______ and the steeper/more peaked distributions as _______. a. rectangular; triangular b. uniform; uneven c. leptokurtic; platykurtic d. platykurtic; leptokurtic e. pancake-shaped; mountain-shaped In which of the following qualitative research approaches is the primary goal to provide detailed, in-depth (thick) description of everyday life, culture, and practice, based primarily on participant observation? a. Ethnography b. Storytelling c. Oral history d. Multiple Regression e. Surveys and Questionnaires When data are normally distributed, we use the mean as our measure of center. However, for nonparametric statistics, the ______ is a better measure of central tendency. a. Mean b. Median c. Mode d. Variance e. Range When data have equal variance, they are said to be ______. a random b. estimates c. homoscedastic d. heteroscedastic e. rigorous In the regression equation, ______ is the value we are attempting to predict. a. Y' b. b c. X d. a e. the margin of error

Explanation / Answer

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Platykurtic for more flat topped, leptokurtic for steeper distributions

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Ethnography

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Median

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Homoscedastic

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The regression equation is written as:

Y' = a + bX

So Y' is the variable we are trying to predict.

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