Score: Week 1. Measurement and Description - chapters 1 and 2
<1 point> 1 Measurement issues. Data, even numerically coded variables, can be one of 4 levels -
nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, as
this impact the kind of analysis we can do with the data. For example, descriptive statistics
such as means can only be done on interval or ratio level data.
Please list under each label, the variables in our data set that belong in each group.
Nominal Ordinal Interval Ratio
male Degree Salary
female Compa
Age
Perf. Rat.
Service
b. For each variable that you did not call ratio, why did you make that decision?
<1 point> 2 The first step in analyzing data sets is to find some summary descriptive statistics for key va
For salary, compa, age, performance rating, and service; find the mean, standard deviation,
You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =std
(the range must be found using the difference between the =max and =min functions with F
Note: Place data to the right, if you use Descriptive statistics, place that to the right as well.
Salary Compa Age Perf. Rat. Service
Overall Mean 45.0 1.0645 34.2 85.9 31.1
Standard Deviation 67.0000 -0.0645 9.8400 4.1000 -18.2984
Range 55 0.317 27 45 21
Female Mean 38.0 1.0727 29.4 84.2 7.9
Standard Deviation 15.000 -0.0727 2.600 5.800 1.080
Range 55 0.231 22 45 18
Male Mean 52.0 1.0562 38.9 87.6 54.3
Standard Deviation -28.000 6.900 -2.600 -53.280
Range 53 0.305 25 30 21
<1 point> 3 What is the probability for a: Probability
a. Randomly selected person being a male in grade E?
b. Randomly selected male being in grade E?
Note part b is the same as given a male, what is probabilty of being in grade E?
c. Why are the results different?
<1 point> 1 Measurement issues. Data, even numerically coded variables, can be one of 4 levels -
nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, as
this impact the kind of analysis we can do with the data. For example, descriptive statistics
such as means can only be done on interval or ratio level data.
Please list under each label, the variables in our data set that belong in each group.
Nominal Ordinal Interval Ratio
male Degree Salary
female Compa
Age
Perf. Rat.
Service
b. For each variable that you did not call ratio, why did you make that decision?
<1 point> 2 The first step in analyzing data sets is to find some summary descriptive statistics for key va
For salary, compa, age, performance rating, and service; find the mean, standard deviation,
You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =std
(the range must be found using the difference between the =max and =min functions with F
Note: Place data to the right, if you use Descriptive statistics, place that to the right as well.
Salary Compa Age Perf. Rat. Service
Overall Mean 45.0 1.0645 34.2 85.9 31.1
Standard Deviation 67.0000 -0.0645 9.8400 4.1000 -18.2984
Range 55 0.317 27 45 21
Female Mean 38.0 1.0727 29.4 84.2 7.9
Standard Deviation 15.000 -0.0727 2.600 5.800 1.080
Range 55 0.231 22 45 18
Male Mean 52.0 1.0562 38.9 87.6 54.3
Standard Deviation -28.000 6.900 -2.600 -53.280
Range 53 0.305 25 30 21
<1 point> 3 What is the probability for a: Probability
a. Randomly selected person being a male in grade E?
b. Randomly selected male being in grade E?
Note part b is the same as given a male, what is probabilty of being in grade E?
c. Why are the results different?
