Assay Type Questions
1) (5 points) Two estimators for the
E1 and E2. We are given the following:
134.2:erl ) = -1 Var(E. ) = 2.5
population mean have been proposed. Let’s call them
. BlaS(E2)-=1 5 Var
Stat 3470, Midterm Exam 1, October 4, 2013, TYPE A
Your name Name of the person to your Name of the person to your
left ri ht
True/False
Indicate whether the statement is true orfalse. (Ipoim‘
Chapter 12 Review Question
Estimating the costs of drilling oil wells is an important consideration for the oil industry. The
regression and scatterplot below were found by using a data set of 16 offs
Your name
Name of the person to your
left
Name of the person to your
right
There are a total of 40 points on this exam. Please read each question carefully and ask me if
you have any questions. You ca
Stat 3470, Midterm Exam 1, October 4, 2013, TYPE A
Your name
Name of the person to your
left
Name of the person to your
right
True/False
Indicate whether the statement is true or false. (1point each)
Sample test for Midterm 2
Short Answer
1.
Let X denote the amount of time for which a book on 2-hour reserve at a college-library
is checked out by a randomly selected student and suppose that X
Calcu
Sample test for Midterm 2
Short Answer
1. Let X denote the amount of time for which a book on 2-hour reserve at a college-library is checked out by a
randomly selected student and suppose that X
Calcu
Confidence Intervals For
Specific Distributions
Sections 7.2-7.3
Learning Objectives: Students should be able to:
Calculate a confidence interval for the mean of a
Normally distributed population with
Hypothesis Tests: Proportions
Sections 8.3, 8.4
Learning Objectives: Students should be able to:
Choose an appropriate test for a population proportion
Carry out that test for appropriate hypotheses
C
Simple Linear Regression, Part 2
Sections 12.3, 12.4
Learning Objectives: Students should be able to:
Make inference about population parameters
Confidence intervals
Hypothesis tests
Make predictions
Simple Linear Regression, Part 2
Sections 12.3, 12.4
Learning Objectives: Students should be able to:
Make inference about population parameters
Confidence intervals
Hypothesis tests
Make predicti
Confidence interval for expected response
We want to estimate the expected load
draft a barge of 200 feet long.
E(Y)=
We estimate E(Y):
Distribution of
Confidence interval (cont.)
Confidence inter
Simple Linear Regression, Part 1
Sections 12.1, 12.2
Learning Objectives: Students should be able to:
Understand the assumptions of a regression model
Correctly interpret the parameters of a regressio
Assessing Model Adequacy
Sections 13.1
Learning Objectives: Students should be able to:
Use graphical tools to diagnose adequacy of linear
regression models
Understand two ways to generalize the sim
Confidence Intervals For
Specific Distributions
Sections 7.2-7.3
Learning Objectives: Students should be able to:
Calculate a confidence interval for the mean of a
Normally distributed population wit
Hypothesis Tests Overview
Sections 8.1, 8.4
Learning Objectives: Students should be able to:
Understand the logic behind hypothesis tests
Develop appropriate null and alternative hypotheses
Calcula
Hypothesis Tests: Means
Sections 8.2, 8.4
Learning Objectives: Students should be able to:
Choose an appropriate test for a population mean
Carry out that test for appropriate hypotheses
Come to the a
Samples
From a question from the book: Suppose the time spent by a randomly selected
student who uses a terminal connected to a local time-sharing
computer facility has a gamma distribution with mean
Point Estimation Overview
Section 6.1
Learning Objectives:
Know estimation vocabulary and notation
Understand desirable properties for an estimator
Bias
Variance
Mean Squared Error
Be able to calculat
Point Estimation Overview
Section 6.1
Learning Objectives:
Know estimation vocabulary and notation
Understand desirable properties for an estimator
Bias
Variance
Mean Squared Error
Be able to ca
Confidence Interval Overview
Section 7.1
Learning Objectives: Students should be able to:
Understand the meaning and purpose of confidence
intervals
Calculate a confidence interval for the mean of a
N
Point Estimation Methods
Section 6.2
Learning Objectives:
Understand and be able to apply two methods of
constructing estimators
Method of Moments
Maximum Likelihood
1
Finding good estimators
Two meth
Point Estimation Methods
Section 6.2
Learning Objectives:
Understand and be able to apply two methods of
constructing estimators
Method of Moments
Maximum Likelihood
1
Finding good estimators
Two m
Confidence Interval Overview
Section 7.1
Learning Objectives: Students should be able to:
Understand the meaning and purpose of confidence
intervals
Calculate a confidence interval for the mean of a
Hypothesis Tests Overview
Sections 8.1, 8.4
Learning Objectives: Students should be able to:
Understand the logic behind hypothesis tests
Develop appropriate null and alternative hypotheses
Calculate
Assessing Model Adequacy
Sections 13.1
Learning Objectives: Students should be able to:
Use graphical tools to diagnose adequacy of linear
regression models
Understand two ways to generalize the simpl
Simple Linear Regression, Part 1
Sections 12.1, 12.2
Learning Objectives: Students should be able to:
Understand the assumptions of a regression model
Correctly interpret the parameters of a regress
Statistics 3470: Autumn - Final Review
Disclaimer: This is a set of practice problems. This is not intended to be a preview of the actual
exam.
1. We have two independent random variables X 1 and X 2
Statistics 3470: Autumn - Final Review
Disclaimer: This is a set of practice problems. This is not intended to be a preview of the actual
exam.
1. We have two independent random variables X1 and X 2 .