One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
Frequency distributions can: C condense and summarize large amounts of data in a useful format C describe all variable types C facilitate graphic presentation of data C begin to identify population characteristics C permit cautious comparison of data sets
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
Histograms provide a clear visual representation of data distribution by displaying the frequency of data points within specific intervals, making it easier to identify patterns and trends. They effectively illustrate the shape of the data distribution, such as skewness and modality. In contrast, polygons can be less intuitive for quickly assessing the frequency of data, as they require connecting midpoints of intervals, which can obscure individual frequency counts. Additionally, histograms handle large data sets more effectively by aggregating data into bins, simplifying the visualization.
• show each data category in a frequency distribution • display relative numbers or proportions of multiple categories • summarize a large data set in visual form
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There are many advantages to using a milestone chart for your child. You will be able to track their growth and development and use that if you see any problems. There really are not disadvantages when using a milestone chart.
you can combine or take the advantage.
to make patterns easier to determine
Organizing the data into a frequency distribution may make patterns within the data more evident.
the advantages fo using a line graph is that is shows trends over time and with a bar chart it shows ammount
One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
One advantage of using normal distribution is that there are less errors. A disadvantage of normal distribution is that it can not be interpreted to terms of probabilities.
A test using relative errors comparing a frequency table to the expected counts determined using a given probability distribution; the null hypothesis is that the given probability distribution fits the data's distribution.
Organizing the data into a frequency distribution can make patterns within the data more evident.
Frequency distributions can: C condense and summarize large amounts of data in a useful format C describe all variable types C facilitate graphic presentation of data C begin to identify population characteristics C permit cautious comparison of data sets