Consider the sample of 60 bottle design ratings given in the table (below).   A Sample of Bottle Design Ratings (Composite Scores for a Systematic Sample of 60 Shoppers)                       32 27 23 26 22 33 43 39 39 33 31 34 30 43 26 43 36 39 44 41 24 34 42 26 45 45 34 23 28 48 33 28 33 31 32 40 30 43 38 48 42 38 37 25 39 38 34 31 36 45 24 40 30 23 31 31 35 36 33 41      Click here for the Excel Data File   Use these data to carry out a chi-square goodness-of-fit test to determine whether the population of all waiting times is normally distributed. Use α = .05, and note that  x¯�¯  = 34.58 and s = 6.9631 for the 60 bottle design ratings. Use the Empirical Rule to create the intervals. (Round your answer to 3 decimal places.)

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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.