Chapter 10
STK110
.
10.1 Inferences about the difference between two
population means: and known
Population 1:
Inner-City Store Customers
Population 2
Suburban Store Customers
= mean age of inner-city
store customers
= mean age of suburban
store custome

Probability Distributions
A random variable that may assume either a finite number of values or
an infinite sequence of values such as 0,1,2, is referred to as a
discrete random variable
Experiment
Random variable X
Possible values for
the random variable

Chapter 9 Hypothesis tests
9.1 Developing the null and alternative hypotheses
:
:
Null hypothesis
Tentative assumption about a population parameter
Alternative hypothesis
Opposite of what is stated in
Research hypothesis
Different types of hypothe

Chapter 5
Discrete Probability Distributions
Random Variables
x is a random variable which is a numerical description of the outcome of an experiment.
Discrete: If the possible values change by steps or jumps.
Example: Suppose we flip a coin 5 times and c

Chapter 3 z-Scores
Should I praise him
or scold him?
Dad, I am 1.4 standard deviations
above the mean!
Empirical Rule
100%
95%
68%
3 2
+ + 2
+ 3
Empirical Rule
Histogram of WST133 Sem Test 1
Mean
66
Standard
Deviation 14
65%
94%
Empirical Rule
Mean

Continuous Probability Distributions
Probability Distributions (PD)
Discrete PD
Discrete Uniform
Distribution
Binomial PD
Continuous PD
Uniform PD
Normal PD
t- PD
Chi-square- PD
F- PD
Uniform Distribution
Uniform
Alike
Similar
Equal
Even
Unchanging
Applic

CHAPTER 9
HYPOTHESIS TESTING
Hypothesis tests
9.1 Developing the null and alternative hypotheses
:
Null hypothesis
Tentative assumption about a population
parameter - Manufacturers claim
:
Alternative hypothesis
Opposite of what is stated in 0
Rese