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5.3: Expected Value and Variance
The expected value of a RV is also referred to as its mean value, and as such it is a
measure of central tendency in the population of all values that the RV may take.
Definition: If X is a discrete RV with
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5.5: Binomial Probability Distribution
The defining characteristics of a Binomial Experiment are the following:
1. The experiment consists of a sequence of n identical trials.
2. Each trial will result in exactly one of two possible outcom
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5.6: Poisson Probability Distribution
The defining characteristics of a Poisson experiment are:
1. The probability of the occurrence of the event of interest stays constant for any 2
intervals of equal length.
2. The occurrence of the even
STATISTICSCHAPTER17
ExamStudyGuide
Data is organized in visuals; tables.
-Tables to knowI.) Data Table: each row represents a case and each column represents a variable.
A.) Case: individual about whom or which we have data.
B.) Variable: holds informatio
Make & Model
Chevrolet Aveo LT
Chevrolet Cobalt LT
Ford Focus SES
Ford Focus SES (MT)
Honda Civic EX
Honda Civic EX (MT)
Honda Fit Sport (MT)
Hyundai Accent GLS
Hyundai Elantra GLS
Hyundai Elantra SE
Kia Spectra EX
Kia Spectra EX (MT)
Nissan Versa 1.8 SL
Hours
Points
45
40
30
35
90
75
60
65
105
90
65
50
90
90
80
80
55
45
75
65
Linear Regression
A) y=5.8470+0.8295*Hours
Regression Statistics
0.93686
R
0.87771
R Square
0.86242
Adjusted R Square
Standard Error7.52312
10
Total Number Of Cases
B)
1 Ho:1=0
Ha:1
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5.1: Random Variables
Definition: A RANDOM VARIABLE may be defined as a letter to which a numerical
value is assigned, representing the outcome of an experiment.
Examples:
(1)
Suppose that we define the letter D to be the number of defecti