Homework 5
Sections 6.1 and 7.1-7.3
Due 6/29/17
55 points
1) (6 points) In a study of crime, the FBI found that 13.2% of all Americans had been victims of
crime during a 1-year period. This result was based on a random sample of 1,105 adults.
Find a 99% c
Homework 6
Sections 8.1-8.4
60 points
Please be sure to show all work including checking assumptions of hypothesis tests, showing test
statistic formulas and calculator functions, and providing explanations where appropriate. Partial
credit will be given
Homework 4
Sections 5.1-5.4
Due 6/22/17
100 points
Please be sure to show all work including dening random variables, showing formulas and
calculator functions, and giving explanations where appropriate. Partial credit will be given for
partially correct
Probability Distributions
Normal
Binomial
Poisson
Exponential
1
Normal Distribution
The single most important distribution in statistics
NORMAL distribution.
It is Continuous.
Individual values dont have probabilities
Instead use a probability density fu
Hypothesis Testing
Chapter 10
Chapter 10
Overview of Hypothesis Testing
Example: Given summary statistics
One Sample Tests (Mean, Proportion)
Two Sample Tests (Mean, Proportion)
Interpretation of p-value
Test for equal variances
Introduction to:
Tests for
Confidence Interval
Estimation
Chapter 9
Note: We skip Section 9.4;
But, its worth a look!
1
Statistical Inference
Inferring information about a population
from a sample
Two approaches:
Hypothesis Testing
Confidence Interval Estimation
Both use Random Sa
Probability & Probability
Distributions
Chapter 5
Note: We skip Section 5.4
& p. 216 (Figure 5.6 down) to p. 218
(top half)
(covered in MBA 871)
1
So, you think you know
probability?
Disease
Testing
2%
of the population has a given disease
If someone h
Probability & Probability
Distributions
Chapter 5
Note: We skip Section 5.4
& p. 216 (Figure 5.6 down) to p. 218
(top half)
(covered in MBA 871)
1
Probability and Probability
Distributions
Probability
Essentials
Distribution of a Single Random
Variable
Describing Data
Summary Measures
Chapter 3
Describing Data - Topics
Measures of Central Location
Measures of Variability
Measures of Association
Box-Whisker Plot
Notation
Population Sample
_
Mean
X
Variance
2
s2
Standard Deviation
s
^
Proportion
p
p
Size
Probability Distributions
Normal
Binomial
Poisson
Exponential
1
Normal Distribution
The single most important distribution in statistics
NORMAL distribution.
It is Continuous.
Individual values dont have probabilities
Instead use a probability density fu
Describing Data
Summary Measures
Chapter 3
Describing Data - Topics
Measures of Central Location
Measures of Variability
Measures of Association
Box-Whisker Plot
Notation
Population Sample
_
Mean
X
Variance
2
S2
Standard Deviation
S
^
Proportion
p
p
Size
Describing Data
Tables & Graphs
Chapter 2
Describing Data 1- Topics
Population
Sample
Variable Field
Case Observation Record
Data Type
Numerical Categorical (Nominal, Ordinal)
Coded Un-Coded
Likert
Discrete Continuous
Cross Sectional Time Series
Populatio
Confidence Interval
Estimation
Chapter 9
Note: We skip Section 9.4;
But, its worth a look!
1
Statistical Inference
Inferring information about a population
from a sample
Two approaches:
Hypothesis Testing
Confidence Interval Estimation
Both use Random Sa
Hypothesis Testing
Chapter 10
Chapter 10
Overview of Hypothesis Testing
Example: Given summary statistics
One Sample Tests (Mean, Proportion)
Two Sample Tests (Mean, Proportion)
Interpretation of p-value
Test for equal variances
Introduction to:
Tests for
Homework Set E
MBA 870 N
Due November 9, 2006
10_2 Write out hypothesis test
10_12
10_16
10_18 Write out hypothesis test
10_44 (Use StatTools defaults)
10_48 (Clarification: Perform two tests; one to see if preference is independent of
gender; the other t
Homework Set F
MBA 870N
Due 11/21/06
Note: For each problem (except 11_C.1), first check the relevant scatter plots. Also,
check for violations of the regression assumptions. For this homework, simply comment
on them.
11_6
11_10
11_18
11_24
11_C.1 (p.622)
MBA 870N
Homework C
Due Tuesday, October 17, 2006 at beginning of class
1)
2)
3)
4)
5)
6-2
6-18
6-28
6-42
6-52 (clarification: part (a) should read: What is the probability that Disney
stock will lose money during a year?)
6) 6-64
Homework Set D
MBA 870N
Due October 31, 2006
8_2 include description (a few sentences including Excel syntax) of how you obtained the
random sample. Be VERY BRIEF (1-2 sentences) for part b
8_22 a-c (skip part d)
8_30 (Hint: in part b, you can determine t
Homework Set B
Due October 10, 2006
(1) 5-26
(2) 5-28 (for (d) and (e), just construct the conditional distribution; you do not need to
turn in an interpretation)
(3) 5-48 (note that the investor puts $10,000 into each stock)
(4): Suppose you subjectively
MBA 870N
Autumn 2006
Homework Set A
Due October 3, 2006; beginning of class
Do, but DO NOT turn in:
2-8, 3-6
To be turned in:
Please turn in neatly prepared hard copies of your answers
Please be very concise in your answers
2-14
2-38
2-46
2-84 (hint: you
Stat 133 Notation and Meanings Review
Values and Statistics from a Sample
x
is the mean of one sample of data
s is the standard deviation of one sample of data
M is the median of one sample of data
Q1 and Q3 are the 1st and 3rd quartiles of one sample of
STAT 1430
Recitation 11A (SOLUTIONS)
Normal Distribution Part 1
Part I: Properties of the Normal Distribution
1. The normal distribution is:
a. Continuous
b. Discrete
2. The shape of the normal distribution is:
a. Symmetric
b. Skewed
c. Flat
d. Unknown
3.
STAT 1430
Recitation 11B (SOLUTIONS)
Normal Distribution Part 2
Suppose Math exam scores have a normal distribution with mean 70 and
s = 8.5 and stat exam scores have a normal distribution with mean 80
and SD 4.5.
Distribution of Math Exam Scores
0.00
0.0
Stat 1430
Recitation 8B SOLUTIONS
Discrete RVs Part II
For the random variable
X = the number showing on the face of a six-sided dice after a single roll. The probability
distribution is below. You can use it to answer the questions below.
x
1
2
3
4
5
6
p
STAT 1450 LECTURE NOTES CHAPTER 1
PICTURING DISTRIBUTIONS WITH GRAPHS
Guided Notes associated with the Lecture Videos for Sections 1.1 & 1.2
Statistics is about thinking critically. By becoming statistically literate, you will learn common
statistical ter
STAT 1450 Recitation Activity 9
Confidence Intervals & Tests of Significance ( known)
Name: _
TA:
_
Date: _
OBJECTIVES
Students will construct a confidence interval and review corresponding concepts.
Students will conduct a test of significance for with
STAT 1450 Recitation Activity 4
Scatterplots, Correlation, & Regression
Name: Sarah Rutledge
TA:
_
Date: June 2, 2017
OBJECTIVES
To reinforce emerging knowledge of correlation and scatterplots.
To affirm the relationship between graphical displays and n
STAT 1450 Recitation Activity 6
Probability (via Two-Way Tables)
Name: _
TA:
_
Date: _
OBJECTIVES
Students will establish a connection between two-way tables and probability rules.
Students will compute Or and And questions.
TWO-WAY TABLES & INTRODUCTOR
STAT 1450 Recitation Activity 7
Introduction to & General Rules of Probability
Student Name: Sarah Rutledge
TA Name:
_
Date:
06/24/17_
OBJECTIVES
Students will use a Statistical Applet to simulate a random phenomenon.
Students will contrast the results
STAT 1450 Recitation Activity 8
Sampling Distributions & General Rules of Probability
Name: _
TA:
_
Date: _
OBJECTIVES
Students will compute probabilities based upon the Central Limit Theorem.
Students will use a Statistical Applet to simulate a random