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[Audio] Hello everyone, welcome to our presentation on the frequency distribution of the starting annual salary of 50 fresh graduates. As we can see, the median starting salary has been calculated to be KSh. 668600. Now, let's take a closer look at the data and how the median starting salary was determined. On this slide, we have provided the frequency distribution of the starting annual salary. This is based on a sample of 50 fresh graduates and the salary is measured in thousands of Kenyan shillings (KSh. ‘000’). We have divided the data into different salary ranges and have indicated the number of graduates within each range. Moving on to the next part, we have been asked to calculate the median starting salary. This is where we will apply the formula shown on the slide (i). To do this, we need to determine the lower-class limit (L), the class interval (i), the median frequency (f), the total number of graduates (N) and the cumulative frequency just before the median class (cfb). In order to find the median class, we use the formula (2)th entry = 25.5th entry. This means that our median class is the one with a cumulative frequency of 25.5. Looking at our data, we can see that the cumulative frequency just before the median class is 17, and the median class is 63-73 with a frequency of 11. Now, we can finally calculate the median. Substituting the values into formula (i), we get the median starting salary of 66.86 thousand Kenyan shillings. In other words, KSh. 668600. This is the middle value that splits our data set into two equal parts. To summarize, the median salary of our sample of 50 fresh graduates is KSh. 668600. Thank you for your attention, and I hope this presentation has been informative and helpful in understanding the distribution of starting salaries. Have a great day!.