column. Identify the model class (the one with the highest frequency). Put the terms "Model Class" in the left column and the class interval in the right column. The statistics should be rounded properly (one more decimal place than the data). Label this "Table 4: Summary Statistics" 7. Use the sample mean and standard deviation to find the values related to the Empirical Rule. The Empirical Rule: For a set of date whose distribution is approximately normal, about 68% of the data are within one standard deviation of the mean. . about 95% of the data are within two standard deviations of the mean. about 99.7% of the data are within three standard deviations of the mean. Use the value of n and the percents listed above to find how many data values should be within each category. Then use the sample mean and standard deviation to find the lower and upper cut-off values in each category. Then use the sorted list of data to determine how many values are actually in each category. Put the values into a table as shown in the example and label it "Table 5: The Empirical Rule." Part 2: Written Introduction and Summary 1. Write an introduction to this application. Discuss the random variable and the source of the sample data. Refer to the textbook or class notes to describe the basic components of the application and the statistical concepts that are applied. The introduction should be at least 50 words and be written with proper grammar and spelling. 2. Write a summary of the application, considering the following topics. The summary should be at least 150 words and be written with proper grammar and spelling. Refer to the tables and graph (by label and number) throughout the summary. Use the proper statistical terms and symbols in the summary. Write about the concepts in the application rather than the steps followed. Do not number the parts or steps in the application except for the proper numbering of the tables and graph. Discuss the difference between population and sample values Discuss how the frequency distribution was created, specifically referring to the intervals and class width. Describe the features of the histogram, including the axes and the shape of the distribution, especially whether it meets the criteria of an approximately normal distribution Discuss measures of center and variation as related to the sample data; given the values used in the random number generator, compare the sample values to those of the population Discuss the Empirice Rule and compare the actuel number of values within each category of the Empirical Rule to the number that should be there Discuss how the Empirical Rule is related to the criteria for significantly low or high values. Discuss characteristics of the sample data such as significantly low or high values and skewness, providing support and examples. Use both the histogram and measures of center to identify whether there is skewness. STA2023 Application (2015)