The University of New Haven
The College of Arts and Sciences
Department of Mathematics and Physics
Course: MATH 2228-04
Title: Elementarry Statistics
Semester: Fall 2014
Meeting Times: MWF 1:40am2:55p
1. Make a scatterplot of weight versus desired weight. Describe the relationship between these
two variables.
> plot(x=cdc$weight,y=cdc$wtdesire)
The general slope of the graph is positive which means
Lab 9 On Your Own
Kristin Jones
Score _
1. Sexual harassment in middle and high schools. A nationally representative survey of students
in grades 7 to 12 asked about the experience of these students w
Chapter 1 Test Bank Questions
1. A sample of 160 workers in the downtown area classified each worker by race. A bar graph of the
results is given below, but the bar for black workers in the graph belo
Lab 5: Foundations for Statistical Inference - Sampling Distributions
In this lab, we investigate the ways in which the statistics from a random sample of data can
serve as point estimates for populat
Binomial Distribution Problems
1. A company owns 400 laptops. Each laptop has an 8% probability of not working. You randomly select
20 laptops for your salespeople.
a) What is the likelihood that 5 wi
Chapter 9 Moore IPS 7e
For Questions 1 2
A large study was done to compare two treatments for recurring ear infections in young children. A total
of 150 subjects were recruited for the study, with 50
Chapter 6 Moore IPS 7e
1. I use computer software to do the following. I generate ten random numbers from a N(500, 100)
distribution. From these ten numbers I compute a 95% confidence interval for the
Chapter 4 Moore IPS 7e
1. A college basketball player makes 80% of his free throws. At the beginning of a game he misses his first two
free throws. We may correctly conclude
a) he will make his next e
The Binomial Distribution
In many cases, it is appropriate to summarize a group of independent observations by the number of observations in
the group that represent one of two outcomes. For example,
You should have all work below either typed or in pencil in your 1 subject spiral notebook.
Due day of Final Exam. No Exceptions! Worth 100 pts.
Chapter 1: Looking at Data Distributions
1.1 Data 1.1:
Statistics: Chi-square Tests
URL: http:/mathbench.umd.edu/modules/probstat_chisquare_intro/page01.htm
Do those shoes fit?
We are going to discuss and explore a statistical test used for goodness of fi
Chi-Squared Test
We use the
2 Test to analyze categorical data.
Ex 1. Chronic users of cocaine need the drug to feel pleasure. A 3-year study compared an antidepressant called desipramine with lithiu
Chi Squared
2
Test
A study of the relationship between men's marital status and the level of their jobs used data
on all 8235 male managers and professionals employed by a large manufacturing firm. Ea
The Birthday Problem
If we have 3 people, the probability no two people have the same birthday
365 364 363 365 P3
=
= 0.992
365 365 365 3653
The number of permutations of n distinct objects is n facto
Hypergeometric Distribution
The binomial setting assumes n trials with replacement, so that the trials are all independent. If n
trials are without replacement, then the probability distribution is Hy
Multiple Regression
y = 0 + 1 x Simple Linear Regression Model (one explanatory variable)
y = 0 + 1 x1 + 2 x2 + . k xk Multiple Regression Model
Although software packages are more suitable for mult
On Your Own Lab_4.2_Morelli.rtf
Email: [email protected]
Name: Christine Morelli Score: _
Using calc streak, compute the streak lengths of sim basket.
1. Describe the distribution of streak leng
On Your Own Lab_9_Sanchez
Email: [email protected]
Name Diana Sanchez_ Score _
1. Sexual harassment in middle and high schools. A nationally representative survey of students
in grades 7 to 12 a
Lab 5: On Your Own
Name
Sarah Limoges
Score _
So far, we have only focused on estimating the mean living area in homes in Ames. Now youll
try to estimate the mean home price.
1. Take a random sample o
Chapter 11: Multiple Regression
y = 0 + 1 x Simple Linear Regression Model (one explanatory variable)
y = 0 + 1 x1 + 2 x2 + . k xk Multiple Regression Model
The F statistic, p. 588 ratio MSM/MSE is
Lab 1: On Your Own
Name_Diana Sanchez Score_
1. What years are included in this data set? What are the dimensions of the data frame and what
are the variable or column names? 1940 2002
The years inclu
On Your Own Lab_2.4_Sanchez
Email: [email protected]
Name Diana Sanchez_ Score _
1. Choose another traditional variable from mlb11 that you think might be a good predictor of
runs. Produce a sca
On Your Own Lab_4.2_Sanchez
Email: [email protected]
Name Diana Sanchez_ Score _
1. Describe the distribution of streak lengths. What is the typical streak length for this simulated
independent
On Your Own Lab_5_Sanchez
Email: [email protected]
Name Diana Sanchez Score _
1. Take a random sample of size 50 from price. Using this sample, what is your best point
estimate of the population
On Your Own Lab_6_Sanchez
Email: [email protected]
Name Diana Sanchez_ Score _
1. Using the following function plot_ci (which was downloaded with the data set), plot all
intervals. What proporti
On Your Own Lab_7_Sanchez
Email: [email protected]
Name Diana Sanchez_ Score _
1. Calculate a 95% confidence interval for the average length of pregnancies (weeks) and
interpret it in context. N