Briefly explain the difference between Descriptive Statistics and Inferential Statistics and give an example of each.

Week 1
1. Briefly explain the difference between Descriptive Statistics and Inferential Statistics and give an example of each.
2. For each of the following variables, indicate if it is quantitative or qualitative and also indicate the level of measurement used for each:
a. The Gender of an individual.
b. The Weight(pounds) of a package.
c. The Income(dollars) of an individual.
d. The distance(miles) between two cities.
3. Briefly explain how your final grade will be calculated for this class.

Week 2

1. The following data set represents the amount spent (in dollars) by 45 shoppers at a supermarket. Construct a frequency distribution for the variable, and also report the relative frequencies for each class in your frequency distribution. NOTE: the data is in dollars and cents; you can not change that data!
10.81, 12.69, 13.78, 15.23, 15.62, 17.00, 17.39, 18.36, 18.43, 19.27, 19.50,19.54,
20.16, 20.59, 22.22, 23.04, 24.47, 24.58, 25.13, 26.24, 26.26, 27.65, 28.06, 28.08,
28.38, 32.03, 33.58, 34.98, 36.37, 37.44, 38.64, 39.16, 41.02, 42.97, 44.08, 45.40,
48.65, 50.39, 52.75, 54.80, 59.07, 61.22, 62.32, 63.70, 66.76
2. A frequency Distribution is a universal descriptive tool. Briefly describe which characteristics of the variable we are trying to describe.

Week 3

The following variable (X) represents the number of coupons used over a 6 month period by a sample of 11 shoppers:
74, 56, 64, 57, 64, 40, 55, 64, 59, 67, 50.
Use this data to compute:
The mean, the median, the mode, the range, the variance, the standard deviation, the sum of the values of (X), and the sum of the squared deviations of each value of (X) from the mean. In addition, please explain what information is provided to us about this variable by your answers to: (1) the sample mean and (2) the sample standard deviation.

Week 4
1. The following set of data is a sample of the commuting time for 12 City workers, measured in minutes.
24, 26, 26, 31, 32, 32, 33, 34, 36, 37, 38, 43
a. Compute the median
b. Compute the first and third Quartiles
c. Compute the 10th and the 90th Percentiles.
2. Briefly describe the difference between a distribution that is Symmetrical and one that is Skewed to the right.
3. Interpret the meaning of a Correlation Coefficient of -0.90.
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