Descriptive Measures
Example: Birth weights (in lb) of 5
babies born from two groups of women
under different care programs.
Group 1:
Group 2:
7, 6, 8, 7, 7
3, 4, 8, 9, 11
678
Example: Number of defective products
from 5 random samples of 1000
products ta
Brush 1
A Comparison of How Many Males Shop at a Grocery Store versus How Many Females
Shop at a Grocery Store
Sydney Brush
Statistical Methods Fall 2016
Introduction
Feminism has become more prevalent in todays society. By definition, feminism is the bel
Term Project Proposal Form
1.
Name: Sydney Brush Casey Roberts Sabrina Sims
List the names of all members in your data collection team. (No more than 3 people.) If you
are the only person in the project just put your name.
Sydney Brush, Casey Roberts, Sab
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Sydney Brush
Two Independent Samples t-Test
Group Statistics
Groups
Reduction
N
Mean
Std. Deviation
Std. Error Mean
Treatment A
6
51.8333
41.79673
17.06344
Treatment B
6
26.0000
5.21536
2.12916
Independent Samples Test
Levene's Test for
Equality of
Varian
Random Variable & Discrete Distribution
Random Variable
Theoretical Probability Distribution
Random Variable
Discrete Probability Distributions
A variable that assumes a numerical
description for the outcome of a
random experiment (by chance).
Usually i
Power and Sample Size for Testing Mean
Type I & Type II Error
Type I Error: reject the null hypothesis
when it is true. The probability of a Type
I Error is denoted by .
Type II Error: accept the null
hypothesis when it is false and the
alternative hypo
Introduction to Hypothesis Testing for One Population Mean
Research Question
Is the average body temperature
of healthy adults 98.6F?
Introduction to
Hypothesis Testing
HT - 1
Scientific Method
1.
2.
3.
4.
HT - 2
Statistical Hypothesis
State research hypo
Comparison of Two Means
Paired Samples
Comparison of Two Means
Data are weight changes of humans, tabulated
after administration of a drug proposed to
result in weight loss. Each weight change (in
kg) is the weight after minus the weight before
drug admin
STAT 3743, Exam II, Practice Problems.
Name _
1. There are 5 female and 4 male candidates in an election for electing a team of 3 city
representatives. If the team is formed by choosing three candidates at random, what is the
probability that there will b
STAT 3743, Exam II, Practice Problems.
Name _
1. There are 5 female and 4 male candidates in an election for electing a team of 3 city
representatives. If the team is formed by choosing three candidates at random, what is the
probability that there will b
STAT 3743, Exam III Practice.
Name: _
1. A research firm surveyed a sample of 300 individuals from a community and found out that 50
of them disagreed with a new construction project.
a) Use this sample to find the 95% confidence interval estimate for the
STAT 3743, Exam III Practice.
Name: _
1. A research firm surveyed a sample of 300 individuals from a community and found out that 50
of them disagreed with a new construction project.
a) Use this sample to find the 95% confidence interval estimate for the
Descriptive Measures
Example: Birth weights (in lb) of 5 babies born from two groups of women under different care programs. Group 1: Group 2: 7, 6, 8, 7, 7 3, 4, 8, 9, 11
Example: Number of defective products from 5 random samples of 1000 products taken
Probability
Probability Chapter 1 Probability
1.1 Basic Concepts
A researcher claims that 10% of a large population have disease H. A random sample of 100 people is taken from this population and examined. If 20 people in this random sample have the disea
Discrete Distributions - 1
Probability Distribution (Probability Model)
If a balanced coin is tossed, Head and Tail are equally likely to occur,
Chapter 2 Discrete Distributions
2.1 Random Variables of Discrete Type
P(Head) = .5 = 1/2 and P(Tail) = .5 = 1
7/10/2013
Normal Distribution
Density Curve
Percent
Continuous Distributions
f(x)
A smooth curve that fit
the distribution
Density
function, f (x)
Random Variables of the Continuous Type
Test scores
10 20 30 40 50 60 70 80 90 100 110
1
Continuous Distribu
Estimation
Inferential Statistics
Estimation
1. Type of Inference:
Confidence Intervals for Means
Population?
Estimation
Hypothesis Testing
2. Purpose
Make Decisions
about Population
Characteristics
1
Estimation Process
Population (, s)
Mean, , is
unknown