Questions and Answers
When working with two-variable data, if the explanatory variable is categorical and the response
variable is quantitative, what is the most appropriate choice to display the data?
a) Side-by-side boxplots
b) Scatterplot
c) Bar chart
d) Two-way frequency table
e) Histogram -
✅Answer: A
When working with two-variable data, if one variable is categorical and the other is quantitative, a
side-by-side boxplot is the most appropriate way to display the data.
13. When working with two-variable data, if both variables are quantitative, what is the most
appropriate choice to display the data?
a) Side-by-side boxplots
b) Scatterplot
c) Bar chart
d) Two-way frequency table
e) Histogram -
✅Answer: B
When working with two-variable data, if both variables are quantitative, a scatterplot is the most
appropriate choice to display the data.
In a two-way table, what does the sum of the joint frequencies in one row equal?
a) The quantitative variable
, b) A marginal frequency
c) The correlation coefficient
d) The number of individuals in the placebo group -
✅Correct. The correct answer is b. In a two-way table, the sum of the joint frequencies in one row
equals a marginal frequency.
If both variables are categorical, a ________- _________ ____________ ______________ is used to
display the data. -
✅two-way frequency table
There are several ways we can analyze the data presented in this table. If we calculate the
percentage that each cell is of the total, the results are called relative frequencies. When the relative
frequencies are calculated from the row total or the column total, they are called
__________________ _____________________. -
✅conditional percentages.
Each row is a different gender. If we are trying to see if gender influences the choice of exercise
program, then gender is the explanatory variable. In this case, we are calculating the relative
frequency by rows; that is, we are calculating the relative frequency by gender. To determine
relative frequency for women, we divide the data in the top row by the total number of women. To
determine the relative frequency for men, we divide the data in the second row by the total number
of men. The percentages obtained are called _____________________ ____________
____________. -
✅conditional row percentages.
When one variable causes change in another, we call the first variable the ___________________
variable*.
The affected variable is called the _______________ variable*. -
✅When one variable causes change in another, we call the first variable the explanatory variable*.
The affected variable is called the response variable*.
In a randomized experiment, the researcher manipulates values of the explanatory variable and
measures the resulting changes in the response variable. The different values of the explanatory
variable are called treatments. An experimental unit is a single object or individual to be measured.