PORTAGE MATH 110 ELEMENTARY
STATISTICS MODULE 2 QUESTIONS
AND ANSWERS
jfrequency distribution - A tabular summary of data showing the number (frequency) of observations in
each of several distinctive (nonoverlapping) categories or classes.
relative frequency - A ratio that compares the frequency of each category to the total.
frequency of the class / n where n = total count of all classes
relative percentage - percentage of time the value occurs in the sample or population
relative frequency x 100
charting - a means to represent frequencies visually
column chart - Data graphed as a series of vertical bars
x-axis: class
y-axis: frequency of class
bar chart - Data graphed as a series of horizontal bars
x-axis: frequency of class
y-axis: class
pie chart - a chart that shows the relationship of a part to a whole
best suited for the distributions focused on the proportions
3 step method to group numerical data into classes - 1. determine the number of classes to be evaluated
2. determine the width of each class
3. determine the limits of each class
Number of classes - (usu b/w 5 and 20)
less than 25 > 5 to 6
25 to 50 > 7 to 14
More than 50 > 15-20
Width of class - approx width =
(largest data value - smallest data value) / # of classes
STATISTICS MODULE 2 QUESTIONS
AND ANSWERS
jfrequency distribution - A tabular summary of data showing the number (frequency) of observations in
each of several distinctive (nonoverlapping) categories or classes.
relative frequency - A ratio that compares the frequency of each category to the total.
frequency of the class / n where n = total count of all classes
relative percentage - percentage of time the value occurs in the sample or population
relative frequency x 100
charting - a means to represent frequencies visually
column chart - Data graphed as a series of vertical bars
x-axis: class
y-axis: frequency of class
bar chart - Data graphed as a series of horizontal bars
x-axis: frequency of class
y-axis: class
pie chart - a chart that shows the relationship of a part to a whole
best suited for the distributions focused on the proportions
3 step method to group numerical data into classes - 1. determine the number of classes to be evaluated
2. determine the width of each class
3. determine the limits of each class
Number of classes - (usu b/w 5 and 20)
less than 25 > 5 to 6
25 to 50 > 7 to 14
More than 50 > 15-20
Width of class - approx width =
(largest data value - smallest data value) / # of classes
