3. Describing Data Numerically

Suppose you have two histograms, Histogram A and Histogram B, each representing the distribution of exam scores for two different classes. Histogram A shows scores tightly clustered around the mean ($\mu$), while Histogram B shows scores spread out over a wider range. Based on this information, which histogram depicts a higher standard deviation ($\sigma$)?

Which of the following characteristics does not describe a normal distribution?

What is the standard deviation of the following sample data: $2$, $6$, $2$, $0$, $5$?

A sample of $n=4$ scores has $SS=60$. What is the variance for this sample?

Given the data set $0.40$, $0.72$, $1.15$, $2.14$, what is the variance of the data set? Round your answer to the nearest hundredth.

Given four histograms representing different data sets, each with the same mean $\mu$ but varying spreads, which histogram would correspond to the largest standard deviation $\sigma$?

Which of the following values can the variance of a dataset never be?

Suppose you have two histograms, A and B, each representing the distribution of exam scores for two different classes. Histogram $A$ shows scores tightly clustered around the mean, while Histogram $B$ shows scores spread out over a wider range. Which histogram depicts a higher $\mathrm{standard} \mathrm{deviation}$?

Given the population data set $2,0,1,9$, what is the variance of this population?

Given a population with mean $\mu$ = $65$ and standard deviation $\sigma$ = $4$, what is the z-score of a value $x$ = $73$?

Given the sample data $8$, $6$, $2$, $8$, what is the variance of the sample?

Which of the following correctly represents the formula for the population standard deviation?

Why is the $standard deviation$ generally considered a better measure of variation than the $range$?

If a set of data has a standard deviation of $0$, which of the following must be true about the data values?

Which of the following is true for the quantity $\sqrt{x-\mu }$?