2024 WGU C784-STATISTICS MOD
5 EXAM WITH 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 - CORRECT-ANSWERSAnswer: 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.
. 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 - CORRECT-ANSWERSAnswer: 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-
ANSWERSCorrect. 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. - CORRECT-ANSWERStwo-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 __________________
_____________________. - CORRECT-ANSWERSconditional 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 _____________________ ____________ ____________. - CORRECT-
ANSWERSconditional row percentages.
Each column is a different exercise program. If we are trying to determine
how each exercise program is appealing to different genders, then the
exercise program becomes the explanatory variable. In this case, the
explanatory variable is in the columns, so we will be calculating the relative
frequency by columns, that is, we are calculating the relative frequency by
exercise program. To determine relative frequency for each cell, we divide
the data by the corresponding column's total number of individuals. The
percentages obtained are called ___________________ _________________
______________. - CORRECT-ANSWERSconditional column percentages
Calculating Overall Percentages - CORRECT-ANSWERS
5 Box Plot Summary - CORRECT-ANSWERS
If the explanatory variable is categorical and the response variable is
quantitative, we can use descriptive statistics, namely the
___________________________ for the quantitative variable, and compare the
statistics for each of the categories - CORRECT-ANSWERSfive-number
summary,
for the majority of the data points, there is a linear relationship indicating a
*positive correlation*, meaning: - CORRECT-ANSWERSWhen two quantitative
variables move in the same direction; meaning that as one variable
(response variable ) increases, the other variable (explanatory variable)
increases.
If the relationship is linear, the strength of the correlation (linear
relationship) can be measured using a statistic called the - CORRECT-
ANSWERScorrelation coefficient*.
5 EXAM WITH 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 - CORRECT-ANSWERSAnswer: 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.
. 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 - CORRECT-ANSWERSAnswer: 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-
ANSWERSCorrect. 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. - CORRECT-ANSWERStwo-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 __________________
_____________________. - CORRECT-ANSWERSconditional 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 _____________________ ____________ ____________. - CORRECT-
ANSWERSconditional row percentages.
Each column is a different exercise program. If we are trying to determine
how each exercise program is appealing to different genders, then the
exercise program becomes the explanatory variable. In this case, the
explanatory variable is in the columns, so we will be calculating the relative
frequency by columns, that is, we are calculating the relative frequency by
exercise program. To determine relative frequency for each cell, we divide
the data by the corresponding column's total number of individuals. The
percentages obtained are called ___________________ _________________
______________. - CORRECT-ANSWERSconditional column percentages
Calculating Overall Percentages - CORRECT-ANSWERS
5 Box Plot Summary - CORRECT-ANSWERS
If the explanatory variable is categorical and the response variable is
quantitative, we can use descriptive statistics, namely the
___________________________ for the quantitative variable, and compare the
statistics for each of the categories - CORRECT-ANSWERSfive-number
summary,
for the majority of the data points, there is a linear relationship indicating a
*positive correlation*, meaning: - CORRECT-ANSWERSWhen two quantitative
variables move in the same direction; meaning that as one variable
(response variable ) increases, the other variable (explanatory variable)
increases.
If the relationship is linear, the strength of the correlation (linear
relationship) can be measured using a statistic called the - CORRECT-
ANSWERScorrelation coefficient*.
