3. Describing Data Numerically

Which of the following best describes the effect of outliers on the $standarddeviation$ of a data set?

Given the following two samples: Sample 1: $5,7,9$ and Sample 2: $4,6,8$, what is the value of the pooled standard deviation $s_p$ for these data sets?

The standard deviation is used in conjunction with the $\mathrm{mean}$ to describe which aspect of a data set?

Which of the following is not a property of the $F$ distribution?

Given four samples, each with the same sample mean but different sample sizes and standard deviations, which of the following samples will have the smallest value for the estimated standard error of the mean ($\frac{s}{\sqrt{n}}$)?

Which of the following statements is true about $standarddeviation$?

Which of the following is not a step used in calculating the standard deviation $\sigma$ of a data set?

Which type of deviation is defined as the square root $\sqrt{\mathrm{variance}}$ of the variance in a set of numerical data?

Suppose you have a random sample of size $n$ from a population with standard deviation $\sigma$. To calculate the standard error of the sample mean, which formula should you use, and under what condition can you assume the sampling distribution of the mean is approximately normal?

Is the $standarddeviation$ considered a resistant measure of spread in statistics?

Which of the following is not a property of the $standarddeviation$?

As the mean $\mu$ increases in a normal distribution, what happens to the graph of the normal curve?

A sample of $n=4$ scores has ${\mathrm{SS}}_S=60$. What is the variance for this sample?

Which of the following statements about the shape of a normally distributed data set is true?

If the variance of a data set is $3.6$ grams squared, what is the standard deviation in grams?