5. A sample of job applicants is selected to analyze the number of years of experience the job applicants have. The data set is: {1, 3, 3, 1, 2}. Calculate the mean number of years of experience.   4. A sample of job applicants is selected to analyze the number of years of experience the job applicants have. The data set is: {1, 3, 3, 1, 2}. Calculate the standard deviation of the number of years of experience.   3. A sample of job applicants is selected to analyze the number of years of experience the job applicants have. The data set is: {1, 3, 3, 1, 2}. What can you conclude about the sample? Group of answer choices   2. A sample of job applicants is selected to analyze the number of years of experience the job applicants have. The data set is: {1, 3, 3, 1, 2}. Calculate the variance of the number of years of experience. 1. A sample of job applicants is selected to analyze the number of years of experience the job applicants have. The data set is: {1, 3, 3, 1, 2}. Calculate the median number of years of experience.

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Forecasting

Forecasting is a methodology that uses historical data as inputs to make well-informed predictions about the course of future trends. Forecasting is the method of making forecasts based on historical and current data, most commonly by trend analysis. In the business world, forecasting is a basic statistical task. Forecasting is used by businesses to decide how to allocate their budgets or prepare for expected expenditures in the future. Forecasts help managers formulate and execute production plans by providing forecasts. The primary goal of forecasting is to make accurate predictions.