Move the variable of interest from the left box into the Dependent List box on the right.Click Analyze -> Descriptive Statistics -> Explore….Question 5: State the components of frequency distribution?Īnswer: The various components of the frequency distribution are: Class interval, types of class interval, class boundaries, midpoint or class mark, width or size o class interval, class frequency, frequency density = class frequency/ class width, relative frequency = class frequency/ total frequency, etc. Therefore, the groups into which the population break down can be determined. Also, a well-structured frequency distribution makes possible a detailed analysis of the structure of the population with respect to given characteristics. Question 4: Why are frequency distributions important?Īnswer: It has great importance in statistics. However, mostly we use frequency distributions to summarize categorical variables. Meaning that it tells how frequencies are distributed overvalues in a frequency distribution. Question 3: Define frequency distribution in statistics?Īnswer: In an overview, the frequency distribution of all distinct values in some variables and the number of times they occur. Finally, find the frequency for each group.After that, use class width to create groups.Next, divide the range by the number of the group you want your data in and then round up.First of all, calculate the range of the data set.Question 2: How to find frequency distribution?Īnswer: We can find frequency distribution by the following steps: So the frequencies for all snacks ordered are 4, 3, 9, 9, 7įrequency Distribution and Data: Types, Tables, and Graphs Find the frequency of snacks ordered.Īnswer: From the frequency table the number of snacks ordered ranging between Question 1: The table gives the number of snacks ordered and the number of days as a tally. Class Intervalįrom the above table, you can see that the value of 150 is put in the class interval of 150-160 and not 140-150. Let us make a grouped frequency data table of the same example above of the height of students. This ensures that the frequency distribution best represents the data. Relative cumulative frequency distribution.Īt certain times to ensure that we are making correct and relevant observations from the data set, we may need to group the data into class intervals.Learn more about Bar Graphs and Histogram here. Using the same above example we can make the following graph: Below is an example of how we use tally marks. It makes the task more organised and easy. Also when the data set is too big (say if we were dealing with 100 students) we use tally marks for counting. This frequency table will help us make better sense of the data given. Let us take the example of the heights of ten students in cms. So to make sense of the data we make a frequency table and graphs. Many times it is not easy or feasible to find the frequency of data from a very large dataset. And finding out the frequency of the data values is how this organisation is done. So to make meaning of the raw data, we must organize. So from the above examples of colours, we can say two children like the colour blue, so its frequency is two. The frequency of any value is the number of times that value appears in a data set. Examples are the temperature in a city for a week, your percentage of marks for the last exam etc. Continuous data need not be in whole numbers, it can be in decimals. Discrete data is that which is recorded in whole numbers, like the number of children in a school or number of tigers in a zoo. Then there is discrete data and continuous data. This collection of information is the raw data. The answers are Blue, Green, Blue, Red, and Red. For example, we go around and ask a group of five friends their favourite colour. After the very first step of data collection, you will get raw data. This information has not yet been organized. Raw data is an initial collection of information. Data is basically a collection of information, measurements or observations. For example, the marks you scored in your Math exam is data, and the number of cars that pass through a bridge in a day is also data. Any bit of information that is expressed in a value or numerical number is data.
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