1) A sample of a very large N, that comes from a normally distributed population a. might have more items than the population has b. is never normally distributed c. is sometimes normally distributed d. is highly likely to be normally distributed e. is distributed as the Weibull distribution
1) A sample of a very large N, that comes from a
a. might have more items than the population has b. is never normally distributed
c. is sometimes normally distributed d. is highly likely to be normally distributed
e. is distributed as the Weibull distribution
2) . A scientist generates a frequency distribution table for a sample of numeric data but the shape of the histogram visualization varies
greatly with change in number of intervals (classes, bins, breaks) and this is disturbing.
To resolve the uncertainty about the true distribution of the data, the next step would be to
a. plot a density histogram by Scott's rule for bin number b. plot a histogram of log transformed data
c. plot a kernel density estimate d. convert the data to z-scores
e. plot a frequency
g. plot a frequency histogram by Sturges' rule for bin number h. plot a density histogram
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