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Q: A grouped frequency distribution is used when the range of data values is relatively small. True or false?

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Not directly, but the cumulative frequency contains the same information as the frequencies for the values in question. However, it may not show the full details of the distribution if the values have been grouped.

Frequency distribution refers to a set of frequencies with a particular set of values into which a statistical population is grouped. Relative frequency refers to data presented in a table that demonstrates the relative frequency of multiple non-overlapping classes.

The result is a collection of grouped data.

Advantages 1. C.F curves can be use to read off values both way round 2. The original information from a grouped frequency distribution can be onbtained from the C.F curves I dunno any disadvantages!!

The Uniform Distribution.

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Not directly, but the cumulative frequency contains the same information as the frequencies for the values in question. However, it may not show the full details of the distribution if the values have been grouped.

If the observations are grouped together into classes, then the number of observations for each class gives the grouped frequency distribution (FD). This kind of FD is particularly important when the data are continuous so that you are likely to have very small frequencies for a very large number of values.

Frequency distribution refers to a set of frequencies with a particular set of values into which a statistical population is grouped. Relative frequency refers to data presented in a table that demonstrates the relative frequency of multiple non-overlapping classes.

class interval - one of several convenient intervals into which the values of the variate of a frequency distribution may be grouped.

A Gaussian distribution has the mean at the highest value. Sum all the values and divide by the number of values. * * * * * A very partial answer and one that does not address the question which was in the context of a frequency distribution table. If the frequencies are for grouped data, replace the range of each group by its midpoint. This, then, comprises the set of values, x, for the random variable. For each x there is an associated frequency, f. Multiply each x by its frequency and add these together. Divide the answer by the sum of the f values. That is the mean.

The result is a collection of grouped data.

Introduction:Frequency distribution is used to compress and summarize the whole data by grouping the data into classes and records the data points that fall in each class. The frequency distribution is considered as the base for descriptive statistics and they are also used to define the ordinal, nominal and the interval data. Frequency distribution is the comfortable way of grouping and organizing the data.Example of Frequency Distribution:Consider the frequency table for the students in a class where the data has been grouped according to the height of the students. Range of height Total number of student's cumulative frequency3.0 - 4.5 feet 15 154.5 - 5.0 feet 20 355.0 - 6.5 feet 25 506.5 - 7.0 feet 30 80In the case of nominal data the use of the contingency table is required. The frequency distributions are used to present the data graphically.Types of Frequency Distributions:There are three types of frequency distributions. Cumulative frequency distribution,Grouped frequency distribution,Cumulative Grouped frequency distribution.Cumulative frequency distribution (type 1):The cumulative frequency can be found from the frequency distribution by adding the cumulative frequency column. The highest cumulative frequency should be equal to the total number of frequenciesTemperature Frequency Cumulative frequency47 3 2246 3 1945 4 1544 3 1243 3 9Grouped frequency distribution (type 2):The grouped frequency distribution can be formed by grouping the values together into the class intervals. The range can be calculated using the maximum and the minimum values.Data set for temperature45 48 47 43 4442 45 43 46 4645 47 46 47 4543 47 45 47 4644 43 44 46 47The grouped frequency distribution is given byClass interval midpoint frequency45- 47 46 1542 - 44 43 7Cumulative grouped frequency distribution (type 3):In cumulative frequency distribution the cumulative frequency column is added to the grouped frequency distribution so that we can get the cumulative grouped frequency distribution.Class interval midpoint frequency Cumulative frequency45- 47 46 15 2242 - 44 43 7 7

It is the set of values that a variable can take together with the probability or frequency distribution for those values.

The data values with the highest frequency, gives the peak of the distribution graph.

Advantages 1. C.F curves can be use to read off values both way round 2. The original information from a grouped frequency distribution can be onbtained from the C.F curves I dunno any disadvantages!!

The Uniform Distribution.

A frequency curve has a major disadvantage of not showing the exact values of the distribution. it is also difficult to compare different data sets. A frequency curve has the greatest advantage of showing the skewness of the distribution that is whether it is positively skewed, negatively and symmetric distribution.

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