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The most important thing in creating intervals for a frequency distribution is that the intervals used must be non-overlapping and contain all of the possible observations.

They are often equal intervals, but sometimes unequal ones are used. It all depends on the data.

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Q: Why are unequal intervals used in a frequency distribution?
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Why are unequal class intervals used in frequency distribution?

to avoid a large number of empty classes?


Why are unequal class intervals sometimes used in a frequency distribution?

Usually because the frequencies at one or both ends of the distribution are very small.


What table is used to group data into intervals?

Frequency Distribution Table


Why are unequal class intervals sometimes used in Frequency distribution?

Because sometimes adjacent classes have to be merged so that the frequencies are not too small. This is important if anonymity is to be preserved. It is also important for statistical testing.


What is used to display data from frequency distribution?

histogram?


What graphs are used in frequency distribution?

graph of modulus


What are frequency Polygon?

Frequency polygons are graphical devices used for understanding the shapes of distribution.


In a study using 9 samples and in which the population variance is unknown the distribution that should be used to calculate confidence intervals is?

In a study using 9 samples, and in which the population variance is unknown, the distribution that should be used to calculate confidence intervals is


How many types are there of frequency distribution?

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


How is a frequency distribution used?

it is used to find mean<median and mode of grouped data


The t distribution is used to construct confidence intervals for the population mean when the population standard deviation is unknown?

It can be.


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

False. When the range is large you would use a grouped frequency distribution.