Math 2332
Spring 2016
By Vaie Kokil
Definitions
Statistics: Collection of methods for planning
experiments, obtaining data, and then organizing,
summarizing, presenting, analyzing, interpreting,
and
Chapter 3
Numerical Summary Measures
1
What is a
variable?
quantitative
Quantitative variables are recorded as numerical
values. They are measurements or counts taken on
each unit in the sample.
Cons
Introductory Statistics:
A Problem-Solving Approach
Chapter 4
Probability
1
Example: Buckle Up
Two drivers on the Pennsylvania
Turnpike are selected at random and
checked for compliance with the
seatb
Objectives
1. Construct the sampling distribution of a
sample mean
2. Use the Central Limit Theorem to
compute probabilities involving sample
means
Construct the sampling distribution of a
sample mean
Chapter 5
Random Variables and
Discrete
Probability
Distributions
1
5.1 Random Variable
A random variable is a
function that assigns a
unique numerical value to
in a sample
1. each
Calledoutcome
rando
Objectives
1. Uniform distribution
2. Exponential distribution
3. Use a normal curve to describe a normal population
4. Find areas under the standard normal curve
5. Find z-scores corresponding to are
Chapter 2
Tables and Graphs for
Summarizing Data
1
Tables, Charts, Graphs
Used to organize and summarize data.
1. Shape: skewed or symmetric.
2. Center: where is the majority of the data located?
3. V
Objective 2
Find critical values for confidence intervals
1
A point estimate of a parameter is the
value of a statistic that estimates the
value of the parameter.
A confidence interval estimate of a
p