Question

Cortland Software, Inc. surveyed a sample of its programmers and recorded the following data on their: age, gender, years of programming experience, whether or not they have a master’s degree, and annual salary.

​ Programmer	​ Age	​ Gender	Years of Experience	Master’s Degree	​ Salary
1	32	Male	8	No	$59,450
2	27	Male	2	Yes	62,750
3	31	Female	6	Yes	65,820
4	37	Males	5	No	54,620
5	29	Female	5	Yes	61,900
6	25	Female	4	No	48,370

a.            How many elements are in the data set?6

b.            How many variables are in the data set, not including the programmer number?6

c.             Which variables are categorical and which are numerical? The variable is a numerical measured on nominal scale and categorical is based on gender or age groups

d.            Are the data time series or cross-sectional? The cross-sectional data is collected from all the programmers at the same point in time.

On May 10, 2019 at 9:28 AM, Parker, Charles (chparke1) wrote:

2)A frequency distribution and a histogram are based on the same information.

As you read about a frequency distribution, comment on the ideas

a. the width of the classes

b. class limits

c. the class midpoint.

Then as you consider a histogram, I want you to think about the shape of the histogram and answer

d. if a histogram is skewed to the left, which tail is longer.

Answer 1

Question 1

Part a

There are total 6 elements in the data set.

Part b

There are 5 variables present in the data set, not including the programmer number.

Part c

The categorical variables for the data set are given as gender, and Master’s degree. The numerical variables for the data set are given as age, years of experience, and salary.

The variables gender and Master’s degree have nominal scales, and the variables age, years of experience and salary have ratio scale.

Part d

The given data is cross-sectional.

Question 2

Part a

The width of the classes is the difference or distance between the upper limit and lower limit.

Part b

The minimum value of class and the maximum value of class are called as class limits.

Part c

The average of the upper limit and lower limit is called as the class midpoint.

Part d

If a histogram is skewed to the left, the left tail is longer.