Discussion forum unit 2

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University of the People *

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MATH 1280

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Statistics

Date

Feb 20, 2024

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docx

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Uploaded by GeneralDuckPerson150

An important practice is to check the validity of any data set that you analyze. One goal is to detect typos in the data, and another would be to detect faulty measurements. Recall that outliers are observations with values outside the “normal” range of values of the rest of the observations.  Specify a large population that you might want to study and describe the type of numeric measurement that you will collect (examples: a count of things, the height of people, a score on a survey, the weight of something) for your study.  What is the best course of action statistically if you found few outliers in a sample of size 100? To answer the above questions:  Outline the method (s) you will use if two values twice as big as the next highest value were identified in the sample.  You may use examples from your area of interest, such as monthly sales levels of a product, file transfer times to different computer on a network, characteristics of people (height, time to run the 100-meter dash, statistics grades, etc.), trading volume on a stock exchange, or other such things. Suppose that we want to study if the state of Texas has more females or males in accredited universities. Description The state of Texas wants to know if there are more females than males active in accredited universities. Let us say that there are only 50 accredited universities in Texas. The way I think this can be solved is by taking a sample of 100 students from the 10 largest accredited universities in the state and arranging them in order. I only use one sample and it should be enough for me to determine if the state of Texas has more females than males active or vice versa. Suppose that after arranging them in order, we find that there is a higher number of females in 5 universities and a higher number of males in 5 compared to the numbers in the rest 10.

Now, analyzing this data will change the result of our analysis such as the average and the standard deviation. We can remove the data which will result in being as outliers or replace the average value with the 10 universities left.

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