1.Find the whole sum as add the data together 2.Divide the sum by the total number of data The below is one of the most common descriptive statistics examples. Example 3: Let’s say you have a sample of 5 girls and 6 boys. [su_note note_color=”#d8ebd6″] The girls’ heights ...
Limitations of the mode: In some data sets, the mode may not reflect the centre of the set. In the above example, if we order the retirement age from lowest to the highest, would see that the centre of the data set is 57 years, but the mode is lower, at 53 years. Median Simply ...
As mentioned in the previous chapter, 362 usable questionnaires could be retained for analysis. Given that our mail sample was generated using a stratified random sampling procedure (see chapter 4), we deliberately introduced a bias into our data. For example, there was a deliberate over-sampling...
As mentioned in the previous chapter, 362 usable questionnaires could be retained for analysis. Given that our mail sample was generated using a stratified random sampling procedure (see chapter 4), we deliberately introduced a bias into our data. For example, there was a deliberate over-sampling...
Example 2:Let’s consider a dataset representing the monthly incomes of employees in a small company: Employee 1: $4500 Employee 2: $3800 Employee 3: $5200 Employee 4: $4100 Employee 5: $3700 Mean Income: ($4500 + $3800 + $5200 + $4100 + $3700) / 5 = $4260 Median Income: Sinc...
Continuing with the ice cream example, predictive analytics can show on a macro level that ice cream sales are likely to increase during spring and summer and decrease as outside temperature drops. On a micro level, and with the right data set, predictive analytics can show that sales are ...
With the above examples of batting average and grade point average, one can see few more examples of descriptive statistics. Here's a little more abstract example: consider the data set {2, 5, 7, 6, 8, 9, 5, 7, 10, 4}. What is the mean of this data set?
So, the GPA is an excellent example of descriptive statistics. Descriptive statistics vs. inferential statistics After collecting data in quantitative research, we need to understand and describe the nature and relationship of the data collected as the first step: descriptive statistics. The next ...
The presence of outliers can have a notable impact on descriptive statistics, skewing results and affecting the interpretation of data. Outliers can disproportionately influence measures of central tendency, such as the mean, pulling it towards their extreme values. For example, the dataset of (1, ...
What Is an Example of Descriptive Analytics? Companies can use descriptive analytics to analyze various metrics during a specific reporting period to help them achieve success. These can be financial and non-financial. Some companies choose to measure engagement with their audience through social media...