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 drawing conclusions.
Variable: Characteristic or attri
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.
Consider the following examples:
1. Age of a person.
2. Num
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
seatbelt law. How many possible
outcomes are there, and what
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
OBJECTIVE 1
Sampling Distribution of the Sample
Mean
I
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
random variables
because
their values cannot be predicted
sp
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 areas under the normal curve
6. Check fro normality
7. Nor
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. Variability: spread, or dispersion, of the data; compact
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
parameter consists of an interval of numbers
along with