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Download An Analysis of the Maximum Temperatures for the Summer in
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Type the names of the group members here An Analysis of the Maximum Temperatures for the Summer in Decatur, Illinois Change the above to represent the temperature and season that you're working with. Context of the data Write the context of the data. Graphs Create the following graphs. Pie Chart for how the day feels Frequency Table for how the day feels Histogram of Temperatures Box Plot of Difference in Temperatures Dot Plot of Normal Temperatures Scatter Plot of Temperatures (y) vs Normal Temperatures (x) Place the regression line on the plot. Look for any unusual observations. Type the names of the group members here Descriptive Statistics Descriptive Statistics for Temperatures Include the sample size, mean, standard deviation, variance, minimum, 1 st quartile, median, 3rd quartile, and maximum. Graphical Summary for the Difference in Temperatures Histogram of Temperatures centered at mean with each bar one standard deviation wide Standard Deviation Analysis Complete the table and use it to determine whether or not the rules apply. w/in 1 st dev w/in 2 st dev w/in 3 st dev Percent of sample Empirical Rule approx 68% approx 95% approx 99.7% Chebyshev's Rule not applicable at least ¾ at least 8/9 Does the Empirical Rule apply? Does Chebyshev's Rule apply? Inferential Statistics For each of the following, copy the output from Minitab and then decide whether or not the results are too unusual to occur by chance alone. Paired Samples t-test Test the claim that recent temperatures are the same as the thirty year normal temperatures. One-Way ANOVA Test the claim that the mean temperature each year is the same. Type the names of the group members here Anderson-Darling Normality Test Test the claim that the differences between the observed and normal temperatures are normally distributed. Include a normal probability plot. Goodness of Fit Test Test the claim that days feel cold 25% of the time, normal 50% of the time, and warm 25% of the time. Correlation and Regression Test the claim that there is no correlation between the temperatures and the normal temperatures. Perform regression with the response variable temperature and predictor variable normal temperature. Data Display and copy the data here.
