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Name Date Outliers In Data Set Independent Practice Worksheet Complete all the problems. The following table gives the population of different cities: Cities Baumtown Dressen Mayo Xavier Memptown.

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How to fill out the Outlier Worksheet Pdf online

Filling out the Outlier Worksheet Pdf online can be a straightforward process if you follow the steps outlined in this guide. This worksheet is designed to help users practice their understanding of outliers in data sets and calculate means effectively.

Follow the steps to complete the Outlier Worksheet Pdf online

  1. Press the ‘Get Form’ button to access the Outlier Worksheet Pdf and open it for editing.
  2. Begin by entering your name and the date at the top of the form. This information is essential for keeping track of your submission.
  3. Review the table provided in the worksheet that lists various cities along with their populations. Familiarize yourself with this data as it will be the basis for your calculations.
  4. Proceed to answer each question sequentially. For question one, calculate the mean population of the six cities, excluding the city with the lowest population. Write your answer clearly in the space provided.
  5. For question two, repeat the process but exclude the city with the highest population this time. Provide your answer in the designated area.
  6. In question three, identify and exclude any cities with a population of less than 80 million, then calculate the mean of the remaining cities. Document your result.
  7. Continue to question four, where you will exclude Baumtown and Doort from your calculations. Calculate and write down the mean for the other cities.
  8. For question five, assess the heights of the 10 students and the additional 15 students combined. Apply the formula for averages to find the mean height for the latter group.
  9. In question six, review the average scores of the students and calculate the mean for their math scores. Place your result in the provided space.
  10. Questions seven through ten will require you to apply your understanding of means to various sets of numbers. Be sure to show your calculations where applicable.
  11. Once you have completed all questions, review your answers carefully. Save your changes, and consider downloading or printing the form for your records before sharing it with others.

Start filling out your Outlier Worksheet Pdf online to enhance your understanding of data sets!

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Definition of outliers. An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In a sense, this definition leaves it up to the analyst (or a consensus process) to decide what will be considered abnormal.

Further, let us apply the Turkey rule to find the outlier. The outlier boundaries are -12.5 and 55.5, and the number 76 lies beyond this boundary. Answer: The outlier is 76.

Outliers are extreme values that stand out greatly from the overall pattern of values in a dataset or graph. Below, on the far left of the graph, there is an outlier. The value in the month of January is significantly less than in the other months.

Well, as you might have guessed, the number (here 1.5, hereinafter scale) clearly controls the sensitivity of the range and hence the decision rule. A bigger scale would make the outlier(s) to be considered as data point(s) while a smaller one would make some of the data point(s) to be perceived as outlier(s).

Determining Outliers If we subtract 1.5 x IQR from the first quartile, any data values that are less than this number are considered outliers. Similarly, if we add 1.5 x IQR to the third quartile, any data values that are greater than this number are considered outliers.

IQR (data points that fall below 25th or above 75th percentile are outliers) 1% and 99% rule (data points that fall below 1% percentile or above 99% percentile are outliers)

The outlier formula designates outliers based on an upper and lower boundary (you can think of these as cutoff points). Any value that is 1.5 x IQR greater than the third quartile is designated as an outlier and any value that is 1.5 x IQR less than the first quartile is also designated as an outlier.

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