The relative frequency of a class is computed by

None of these choices. Dividing the sample size by the frequency.

B Dividing the frequency of.

The relative frequency of a class is computed by. The relative frequency of a class is computed by a. Dividing the midpoint of the class by the sample size b. Dividing the frequency of the class by the midpoint c.

Dividing the sample size by the frequency of. The relative frequency of a class is computed by a. Dividing the cumulative frequency of the class by n b.

Dividing n by cumulative frequency of the class c. Dividing the frequency of the class by n d. Dividing the frequency of the class by the number of classes Answer.

Dividing the frequency of the class by n. The relative frequency of a class is computed by A. Dividing the midpoint of the class by the sample size B.

Dividing the frequency of the class by the midpoint. The relative frequency of a class is computed by a. Dividing the midpoint of the class by the sample size b.

Dividing the frequency of the class by the midpoint c. Dividing the sample size by the frequency. The relative frequency of a class is computed by a.

Answerclass frequencyStep-by-step explanationThe relative frequency of a class is computed class frequencysize of class n. The relative frequency for a class is computed as. Class width divided by class interval.

Class midpoint divided by the class frequency. Class frequency divided by the interval. Class frequency divided by the total frequency.

Relative cumulative frequency distribution. The cumulative frequency for a class is the sum of the frequencies for that class and all previous classes. Relative frequency rf is computed by dividing each individual frequency by the total frequency.

The relative frequency of a class is computed by a. Dividing the cumulative frequency of the class by n b. Dividing n by cumulative frequency of the class c.

Dividing the frequency of the class by n d. Dividing the frequency of the class by the number of classes. The relative frequency of a class is computed by _____.

Dividing the frequency of the class by the midpoint b. Dividing the sample size by the frequency of the class c. Dividing the midpoint of the class by the sample size d.

Dividing the frequency of the class by the sample size. The relative frequency of a class is computed by a. Dividing the frequency of the class by the number of classes b.

Dividing the frequency of the class by the class width c. Dividing the frequency of the class by the total number of observations in the data set d. Subtracting the lower limit of the class from the upper limit and multiplying the difference by the number of classes ANSWER.

The relative frequency of a class is computed by. A Dividing the midpoint of the class by the sample size. B Dividing the frequency of.

For Teachers for Schools for Working Scholars. In other words thats 25 percent of the total. Heres a handy formula for calculating the relative frequency of a class.

Class frequency refers to the number of observations in each class. N represents the total number of observations in the entire data set. The relative frequency of a class is computed by.

Asked Jul 15 2019 in Business by Liger. Dividing the cumulative frequency of the class by the total number of elements in the data set. Dividing n by cumulative frequency of the class.

Dividing the frequency of the class by the total number of elements in the data set. For qualitative data the relative frequency for a class is computed as A Class width divided by class interval. B Class midpoint divided by the class frequency.

C Class frequency divided by the class interval. For quantitative data the relative frequency for a class is computed as A Class width divided by class interval. B Class midpoint divided by the class frequency.

Cumulative relative frequency is the accumulation of the previous relative frequencies. To obtain that add all the previous relative frequencies to the current relative frequency. The last value is equal to the total of all the observations.

Because all the previous frequencies are already added to the previous total. In a histogram the relative frequency of a class is computed by which of the following. Dividing the frequency of the class by the number of classes.

Dividing the frequency of the class by the class width. Dividing the frequency of the class by the total of all frequencies. None of these choices.

The relative frequency of a class is computed by. Dividing the midpoint of the class by the sample size. Dividing the frequency of the class by the midpoint.

The relative frequency for a class is computed as the class A. Width divided by class intervalB. Midpoint divided by the class frequencyC.

Frequency divided by the class intervalD. Frequency divided by the total frequency. The relative frequency of a class is computed by a.

Dividing the midpoint of the class by the sample size b. Dividing the frequency of the class by the midpoint c. Dividing the sample size by the frequency of the class d.

Dividing the frequency of the class by the sample size Answer. The sum of frequencies for all classes will always equal. The relative frequency of a class is computed by a.

Dividing the frequency of the class by the number of classes b. Dividing the frequency of the class by the class width c. Dividing the frequency of the class by the total number of observations in the data set d.

Subtracting the lower limit of the class from the upper limit and multiplying. A relative frequency table is a table that shows how many times certain values occur relative to all the observations in a dataset. To create a relative frequency table for a given dataset simply enter the comma-separated values in the box below and then click the Calculate button.

4 14 16 22 24 25 37 38 38 40 41 41 43 44. The relative frequency for a class is calculated by dividing the number of observations in a class by the total number of observations and converting this figure to a percentage multiplying the fraction by 100. Simply relative frequency is the percentage of total observations falling within each interval.