Chapter 6
Continuous Probability Distributions
Normal Probability Distribution
Graph of the Normal Probability Density Function
200
-4
300
400
500
600
700
800
-3
-2
-1
-0
1
2
3
4
Normal Probability Distribution
The Normal Curve
The shape of the normal c
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.8397240987
R Square
0.7051365619
Adjusted R Square
0.7009835558
Standard Error
88.821043269
Observations
73
ANOVA
df
Regression
Residual
Total
Intercept
Number of Destination
SS
MS
F
Significance F
1 13394
Chapter 3
Descriptive Statistics: Numerical Methods
Relative Location
Measures of Relative Location
z score - a standardized value where the distance from the
mean is measured in standard deviations
see Table 3.5, s=8.0, x = 44
Students
46
54
42
46
32
Chapter 3
Measures of Association Between Two Variables
Covariance
Pearson Product Moment Correlation Coefficient
Covariance conceptual formula
Sample
Covariance
sxy
( xi x )( yi y )
n 1
Positive values indicate a
positive relationship.
Sample
variance
Chapter 4
Introduction to Probability
Experiments, the Sample Space, and Counting Rules
Assigning Probabilities to Experimental Outcomes
Events and Their Probabilities
Some Basic Relationships of Probability
Conditional Probability
An Experiment and
Chapter 5 Poisson Distribution
Using the Complementary Rule
n
10
P
x
.30
0 .0282
1 .1211
2 .2335
3 .2668
4 .2001
5 .1029
6 .0368
7 .0090
8 .0014
9 .0001
10 .0000
f ( x 3 n 10, p .30)
1 f ( x 3 | n 10, p .30)
1 f ( x 2 | n 10, p .30)
1 (.0282 .1211 .233
Homework assignment: 1
Chapter 1: Data and Statistics (Supplementary Exercises)
1) Q-5 (pg22): Answer all sub questions (a-d) -2pts
2) Q-11 (pg23): Answer all sub questions (a-e) -2.5pts
3) Q-15 (pg24): Answer all sub questions (a-e) -2.5pts
4) Q-19 (pg25
Homework assignment: 1
Chapter 1: Data and Statistics (Supplementary Exercises)
1) Q-5 (pg22): Answer all sub questions (a-d) -2pts
2) Q-11 (pg23): Answer all sub questions (a-e) -2.5pts
3) Q-15 (pg24): Answer all sub questions (a-e) -2.5pts
4) Q-19 (pg25
Chapter 8
Interval Estimation
-4
-3
-2
-1
0
68%
95%
99.7%
1
2
3
4
Interval Estimation - Outline
Interval Estimation of a Population Mean:
Large-Sample Case
Small-Sample Case
Determining the Sample Size
Interval Estimation of a Population
Proportion
I
Chapter 7
Abraham Lincoln:
If this is coffee, please bring me some tea; but if
this is tea, please bring me some coffee.
Anne Morrow Lindbergh
Good communication is as stimulating as black
coffee, and just as hard to sleep after.
T. S. Eliot (1888-1965)
I
Chapter 8
Interval Estimation
t Distribution
The t distribution is a family of similar probability distributions.
A specific t distribution depends on a parameter known as the
_.
As the number of degrees of freedom increases, the difference between
the
Chapter 3
Descriptive Statistics: Numerical Methods
Numerical Methods
Ungrouped Data
Measures of Location
Mean
Population
Sample
xi
x
N
xi
n
Numerical Methods
Measures of Location
Mode Xo - the observation with the highest frequency
Advantage: easy