Think About It! Section
Now it's time to test yourself to check your understanding of the material in this lesson. Be sure to also try the Practice quiz in Canvas (you can take that multiple times to see more practice problems).
Select the answer you think is correct  then click the right arrow to proceed to the next question.

Correct. To reduce bias. Randomization helps make a sample more representative of the population in a sample survey and helps to keep comparison groups similar in character in an experiment. It adds variability (the luck of the draw); but in a way that can be quantified.

The correct answer is to reduce bias. Randomization helps make a sample more representative of the population in a sample survey and helps to keep comparison groups similar in character in an experiment. It adds variability (the luck of the draw); but in a way that can be quantified.

The correct answer is to reduce bias. Randomization helps make a sample more representative of the population in a sample survey and helps to keep comparison groups similar in character in an experiment. It adds variability (the luck of the draw); but in a way that can be quantified.

The correct answer is to reduce bias. Randomization helps make a sample more representative of the population in a sample survey and helps to keep comparison groups similar in character in an experiment. It adds variability (the luck of the draw); but in a way that can be quantified.
The histogram above displays the number of CDs owned from a sample of STAT 100 students. What shape is displayed on this histogram?

The correct answer is right skewed  because most of the observations are on the lower part of the graph with only a few observations (outliers) on the upper part of the graph, therefore, the shape is right skewed. The skewness is always in the direction of the outliers. In this case, we have high outliers (rightside), so the shape is rightskewed.

Correct. Right skewed  because most of the observations are on the lower part of the graph with only a few observations (outliers) on the upper part of the graph, therefore, the shape is right skewed. The skewness is always in the direction of the outliers. In this case, we have high outliers (rightside), so the shape is rightskewed.

The correct answer is right skewed  because most of the observations are on the lower part of the graph with only a few observations (outliers) on the upper part of the graph, therefore, the shape is right skewed. The skewness is always in the direction of the outliers. In this case, we have high outliers (rightside), so the shape is rightskewed.

The correct answer is 4  because when sorting the sample in order from smallest to largest: (2, 3, 4, 6, 7), the median or middle observation is 4.

The correct answer is 4  because when sorting the sample in order from smallest to largest: (2, 3, 4, 6, 7), the median or middle observation is 4.

The correct answer is 4  because when sorting the sample in order from smallest to largest: (2, 3, 4, 6, 7), the median or middle observation is 4.

Correct. 4  because when sorting the sample in order from smallest to largest: (2, 3, 4, 6, 7), the median or middle observation is 4.

The correct answer is 4  because when sorting the sample in order from smallest to largest: (2, 3, 4, 6, 7), the median or middle observation is 4.

The correct answer is mean (or average)  because the fivenumber summary includes the median (not the mean) as the measure of center.

The correct answer is mean (or average)  because the fivenumber summary includes the median (not the mean) as the measure of center.

Correct. Mean (or average)  because the fivenumber summary includes the median (not the mean) as the measure of center.

The correct answer is mean (or average)  because the fivenumber summary includes the median (not the mean) as the measure of center.

The answer is median  because the median is a measure of center (location).

Correct. Median  because the median is a measure of center (location).

The answer is median  because the median is a measure of center (location).