MATH 221 Statistics for Decision Making
Week 4 iLab
Name:
MATH221
Statistical Concepts:
Probability
Binomial Probability Distribution
Calculating Binomial Probabilities
Open a new Excel worksheet.
1.
2.
3.
4.
5.
Open spreadsheet
In cell A1 type success
Week 3: Probability Theory
What Is Probability
Probability Rules
Contingency Tables
Beyond the Basics: Chi-square
Tests
What Is Probability
Probability (P) is always expressed as a value between
0 and 1 (0% to 100%).
Probability is the likelihood that a
Week 1
Collecting, Organizing and
Presenting Data
What Is Statistics?
Statistics helps us make decisions
without prejudice - data is
objective
Statistics is a process involving the
collection, organization, analysis
and interpretation of data to make
deci
Week 5: Normal Distributions
Graphs
of Normal Distributions
Standard Units and Areas
Under
the Normal
Curve
Areas Under the Normal Curve
Continuous Random Variable
Numerical
outcome of an experiment
Weight of a student
Observe
Continuous
2
115, 156.8,
Week 4: Probability Distributions
Discrete Data
Distributions
Random Variables and Probability Distributions
Statistical
Experiment - a process by which an
observation or measurement is obtained
The quantitative variable x is random when its
outcome in
7
Chapter
Week 7: Hypothesis Testing
A Statistical Hypothesis
A claim about a population.
Null hypothesis H0
Alternative hypothesis Ha
Statistical hypothesis that
contains a statement of equality, contains a statement of
inequality, such as <, or >.
such
Week 6: Confidence Intervals
Inferential
Statistics
Introduction to Estimation
Inferential Statistics
Statistics are used to make inferences about a population from a sample.
Samples and Populations
experience by way of sampling helps us
make decisions a
Week 2
Linear Regression and
Correlation
Organizing Ordered Pairs of
Data
Correlation
Correlation and
regression involve the
study of ordered pairs
of data
This data, expressed as
(x,y) is usually first
presented in table form
Store Customers Sales
1
90
Normal Distribution
Mean
4.7
Stdev
1.3
P(X<x)
0.0093
x
1.64
x
6
P(X>x)
0.1587
x1
P(x1<X<x2)
x2
4
0.6664
7
<- when I have x value or z value I use top
Always plac
Inverse Calculations
<-
P(<x)
x
0.95
6.84
x
P(>x)
Symmetric Intervals
P(x1<X<x2)
x1
x2
If giv
Question 1. The ages of a group of 50 women are approx normally distributed with a mean of 51 years and a standard
deviation of 5 years. One woman is randomly selected from the group and her age is observed.
a. Find the probability that her age will fall
Project Part C:
Introduction
The data used for the analysis of this project is the AJ Davis Department Stores Data.
AJ DAVIS is a department store chain, which has many credit customers. It wants to
analyze the data to find out relevant information about