Question

The ages of 20 first graders would be considered:

Quantitative data

Qualitative data

Interval data

Nominal data

If data set A has a larger standard deviation than data set B, what would be different about their distributions?

Data set A would have most of its data to one side of the distribution

Data set A would have a larger mean

Data set A would have more data near the center of the distribution

Data set A would have flatter distribution with more data in each tail

Which of the following data sets would you expect to have the smallest mean?

The number of phones a person owns

Ages of people taking college classes (in years)

Weight of an orange (in ounces)

Amount of soda in an unopened can (in ounces)

Which of the following data sets would you expect to have the smallest mean?

The number of phones a person owns

Ages of people taking college classes (in years)

Weight of an orange (in ounces)

Amount of soda in an unopened can (in ounces)

Which data outcome of the number of customers in line would best support opening another cash register?

Low mean with small standard deviation

Low mean with high standard deviation

High mean with high standard deviation

High mean with small standard deviation

Answer 1

1. The ages of 20 1st graders is quantitative data. Because age is defined by some numerical figure (like 25 years of age ).

2. Standard deviation of A is greater than B means Var(A) > Var(B). The values of data set A is more spread over the mean than the data set in B. So Data set A would have flatter distribution than with more data in each tail.

3.  The number of phones a person owns has the smallest means among other options because in general a person have maximum 2 or 3 cell phones so mean is around 2.

4. High mean and small standard deviation is the required criterion for opening a new cash register. Because when there are so many people waiting in the line for cash payment throughout the day (less standard deviation) then the following situation is created.