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Q: What is the sum of proportion compted from a frequency distribution must equal?
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When do you use uniform distribution?

When, over a given range, the probability that a variable in question lies within a particulat interval is equal to the size of that interval as a proportion of the range.


Suppose that a frequency histogram and a cumulative frequency histogram are constructed from the same set of data using the same classes is the frequency for each class is the frequency equal to the?

the frequency is less than OR EQUAL TO the cumulative frequency


The first class in a relative frequency table is 50-59 and the corresponding relative frequency is 0.2What does the 0.2 value indicate?

The sum of the relative frequencies must equal 1 (or 100%), because each individual relative frequency is a fraction of the total frequency. The relative frequency of any category is the proportion or percentage of the data values that fall in that category. Relative frequency = relative in category/ total frequency It means a number in that class appeared 20% of the total appearances of all classes


What is the expected value of the standard normal distribution equal to?

The expected value of the standard normal distribution is equal to the total amount of the value. It is usually equal to it when the value works out to be the same.


Does the midpoint of a frequency distribution class equal the sum of the lower and upper limits?

No, the midpoint is the result of adding the upper and lower limits in a class and dividing that by 2. Essentially the mid point is the average of the two limits.

Related questions

What is the sum of proportions computed from a frequency distribution have to equal?

The sum of proportions computed from a frequency distribution must equal


What is commulative frequency distribution?

The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x.


What are the benefits of cumulative frequency?

It shows what proportion of the total population are less than (or equal to) each value.


One of the values of a variable which divides the distribution of the variable into four groups having equal frequency?

A quartile.


What is decile?

Decile means one of the ten groups containing an equal number of the items that make up a frequency distribution.


What is partial proportion?

partial proportion is equal


Can a proportion be equal if the cross products are not equal?

No. A cross product is just a way of simplifying a proportion. If the cross product aren't equal, it follows logically that the proportion isn't equal.


How can you tell if a proportion is false?

Multiply the cross products, and see if they are equal. If they are equal, the proportion is true. If they are unequal, the proportion is false.


When do you use uniform distribution?

When, over a given range, the probability that a variable in question lies within a particulat interval is equal to the size of that interval as a proportion of the range.


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


Why are unequal intervals used in a frequency distribution?

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.


What is the meaning of equal proportion?

when you cross multiply you get the same number for each side its an equal proportion