Create a frequency distribution and histogram for weight starting at 100 and with a bin interval size of 20 pounds

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Open a word document and enter your answers into it rather than printing out from excel. Do not print any raw data. Type your name at the top left corner.

1. Prior to starting the exam you can open Canvas\files\data\SandFmidterm.csv in excel.

2. Also, open the Stop_and_frisk_Codebook.pdf and have a look at the data. Many of the variables have been removed from the dataset to simplify it a bit.

3. You can also open the formula document and the Z_t tables under Canvas\files\course info Do not open any other documents If you are using the random number generator in Excel, set “Random seed” to 210. (Some added odds and ends for the formula sheet!) Chebyshev’s Rule: > 1-1/k2 Empirical Rule: +/-1sd: 68%, +/-2sd: 95%, +/-3sd: 99% For each of the numbered parts of this test, copy the answers into your word document. (save your work regularly!)

Section A

4. Create a frequency table, and a pie chart for “race”. For the pie chart include category name and value as labels. The category name should be the actual name eg, black-hispanic, white, etc rather than the number

5. Create a frequency distribution and histogram for weight, starting at 100, and with a bin interval size of 20 pounds. Make sure the axes are labeled.

a. State whether this distribution is skewed left, right, or symmetrical.

b. Given Chebyshev’s rule, at least what proportion of stop and frisk data can be found within 2.5 standard deviations of the mean weight?

c. What proportion is actually found in this data set?

Section B

Create a table which contains the following information: For a single fair dice,

6. What is the theoretical expected value (mean) and standard deviation for this type of data? For the average of five fair dice rolled together,

7. What is the theoretical expected value (mean) and standard deviation for this type of data? Using “random seed = 210”, generate random data of 100 observations each for a single fair dice, and then for the average of 5 fair dice.

8. Include in the table the means and standard deviations of this empirical (sample) data.Open a word document and enter your answers into it rather than printing out from excel. Do not print any raw data. Type your name at the top left corner.

1. Prior to starting the exam you can open Canvas\files\data\SandFmidterm.csv in excel.

2. Also, open the Stop_and_frisk_Codebook.pdf and have a look at the data. Many of the variables have been removed from the dataset to simplify it a bit.

3. You can also open the formula document and the Z_t tables under Canvas\files\course info Do not open any other documents If you are using the random number generator in Excel, set “Random seed” to 210. (Some added odds and ends for the formula sheet!) Chebyshev’s Rule: > 1-1/k2 Empirical Rule: +/-1sd: 68%, +/-2sd: 95%, +/-3sd: 99% For each of the numbered parts of this test, copy the answers into your word document. (save your work regularly!)

Section A

4. Create a frequency table, and a pie chart for “race”. For the pie chart include category name and value as labels. The category name should be the actual name eg, black-hispanic, white, etc rather than the number

5. Create a frequency distribution and histogram for weight, starting at 100, and with a bin interval size of 20 pounds. Make sure the axes are labeled.

a. State whether this distribution is skewed left, right, or symmetrical.

b. Given Chebyshev’s rule, at least what proportion of stop and frisk data can be found within 2.5 standard deviations of the mean weight?

c. What proportion is actually found in this data set?

Section B

Create a table which contains the following information: For a single fair dice,

6. What is the theoretical expected value (mean) and standard deviation for this type of data? For the average of five fair dice rolled together,

7. What is the theoretical expected value (mean) and standard deviation for this type of data? Using “random seed = 210”, generate random data of 100 observations each for a single fair dice, and then for the average of 5 fair dice. 8. Include in the table the means and standard deviations of this empirical (sample) data.

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