Time-Series Forcasting and Index Numbers
CHAPTER 16: TIME-SERIES FORECASTING AND INDEX
1. The effect of an unpredictable, rare event will be contained in the _
TYPE: MC DIFFICULTY:
Simple Linear Regression
CHAPTER 13: SIMPLE LINEAR REGRESSION
1. The Y intercept (b0) represents the
a) predicted value of Y when X = 0.
b) change in estimated average Y per unit change in X.
c) predicted value of Y.
d) variation around the sample regress
CHAPTER 7: SAMPLING DISTRIBUTIONS
1. Sampling distributions describe the distribution of
c) both parameters and statistics.
d) neither parameters nor statistics.
TYPE: MC DIFFICULTY: Easy
Statistical Applications in Quality and Productivity Management
CHAPTER 18: STATISTICAL APPLICATIONS IN
QUALITY AND PRODUCTIVITY MANAGEMENT
1. The control chart
a) focuses on the time dimension of a system.
b) captures the natural variability in the syste
Introduction to Multiple Regression
CHAPTER 14: INTRODUCTION TO MULTIPLE
1. In a multiple regression problem involving two independent variables, if b1 is computed to be
+2.0, it means that
a) the relationship between X1 and Y is significan
Multiple Regression Model Building
CHAPTER 15: MULTIPLE REGRESSION
1. A real estate builder wishes to determine how house size (House) is influenced by family
income (Income), family size (Size), and education of the head of household (S
Presenting Data in Tables and Charts
CHAPTER 2: PRESENTING DATA IN TABLES AND
An insurance company evaluates many numerical variables about a person before deciding on an
appropriate rate for automobile insurance. A representative from
The Normal Distribution and Other Continuous Distributions
CHAPTER 6: THE NORMAL DISTRIBUTION AND OTHER CONTINUOUS DISTRIBUTIONS
1. In its standardized form, the normal distribution a) has a mean of 0 and a standard deviation of 1. b) has a mean of 1
Some Important Discrete Probability Distributions
CHAPTER 5: SOME IMPORTANT DISCRETE
1. Thirty-six of the staff of 80 teachers at a local intermediate school are certified in CardioPulmonary Resuscitation (CPR). In 180 days o
Confidence Interval Estimation
CHAPTER 8: CONFIDENCE INTERVAL ESTIMATION
1. The width of a confidence interval estimate for a proportion will be a) narrower for 99% confidence than for 95% confidence. b) wider for a sample size of 100 than for a sampl
Tests for Two or More Samples with Categorical Data
CHAPTER 12: TESTS FOR TWO OR MORE SAMPLES
WITH CATEGORICAL DATA
1. When testing for independence in a contingency table with 3 rows and 4 columns, there are
_ degrees of freedom.
Fundamentals of Hypothesis Testing: One-Sample Tests
CHAPTER 9: FUNDAMENTALS OF HYPOTHESIS TESTING: ONE-SAMPLE TESTS
1. Which of the following would be an appropriate null hypothesis? a) The mean of a population is equal to 55. b) The mean of a sample
Two-Sample Tests with Numerical Data
CHAPTER 10: TWO-SAMPLE TESTS
WITH NUMERICAL DATA
1. The t test for the difference between the means of 2 independent populations assumes that the
a) sample sizes are equal.
b) sample variances are equal.
Bayes Probabilities Our original tree measure gave us the probabilities for drawing a ball of a given color,
given the urn chosen. We have just calculated the inverse probability that a particular urn was chosen,
given the color of the ball. Such an inver
Econ-UA 353-002 HW #1
Due at the beginning of class on Wednesday September 28, late homework will NOT be accepted for any reason.
Question 1. Consider an exchange economy with two goods, ale and bread.
There are two individuals, Ann and Bob, whose initial
Continuous Random Variables and
4.1 PDFs, 4.2 CDFs and Expected Values 4.3 Normal Distribution
4.4 Exponential Distribution, 4.6 Normal Probability Plots
Continuous Random Variables
Recall the definition of pmf for a discrete ran
"Everything should be as simple as possible, but not simpler.
The method of least squares can be expanded to include
more than one predictor. The method is known as
Statistical Intervals Based on a Single
7.1 Basic Properties of Confidence Intervals 7.2 Large-Sample Confidence
Intervals for a Population Mean and Proportion 7.3 Intervals Based on a
Normal Population Distribution
A point est
Simple Linear Regression
12.5 Correlation 12.1 The Simple Linear Regression Model, 12.2 Estimating
Model Parameters, 12.3 Inferences about the Slope Parameter
Looking at Scatterplots
Scatterplots may be the most common and most
effective display for data.
A Little History, Types of Studies, Misuses of Statistics
What is Statistics
Statistics (the discipline) is a way of reasoning, a collection of
tools and methods, designed to help us understand the world.
Statistics (plural) are part
Categorical Data Analysis
14.3 Two-Way Contingency Tables
Test of Independence
A test of whether the two categorical variables
are independent examines the distribution of
counts for one group of individuals classified
according to both variables in a con
Tests of Hypotheses Based on a Single
8.1 Hypotheses and Test Procedures 8.2 z Tests for Hypotheses about a
Population Mean 8.3 One Sample t Test 8.4 Test Concerning a Population
8.5 Further Aspects of Hypothesis Testing
Note: Review Prezi Making S
Inferences Based on Two Samples
9.2 The Two-Sample t-Test and Confidence Interval.
9.3 Analysis of Paired Data
H0: from the same
population (therefore have
the same population mean)
Ha: from different population
(therefore have different
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Analysis of Variance
CHAPTER 11: ANALYSIS OF VARIANCE
1. In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we may
a) reject H0 since there is evidence all the means differ.
b) reject H0 since there is evidence of a treatment ef