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
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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
population means)
Tests of Hypotheses Based on a Single
Sample
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
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
Analytical Statistics
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
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.
Statistical Intervals Based on a Single
Sample
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
Confidence Intervals
A point est
Multiple Regression/Multiple
Regression Wisdom
"Everything should be as simple as possible, but not simpler.
Albert Einstein
Multiple Regression
The method of least squares can be expanded to include
more than one predictor. The method is known as
multipl
Continuous Random Variables and
Probability Distributions
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
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
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
Time-Series Forcasting and Index Numbers
CHAPTER 16: TIME-SERIES FORECASTING AND INDEX
NUMBERS
1. The effect of an unpredictable, rare event will be contained in the _
component.
a) trend
b) cyclical
c) irregular
d) seasonal
ANSWER:
c
TYPE: MC DIFFICULTY:
26
Multiple Regression Model Building
CHAPTER 15: MULTIPLE REGRESSION
MODEL BUILDING
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
Introduction to Multiple Regression
145
CHAPTER 14: INTRODUCTION TO MULTIPLE
REGRESSION
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
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
Tests for Two or More Samples with Categorical Data
69
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.
a) 5
b) 6
c) 7
d) 12
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
Two-Sample Tests with Numerical Data
5
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
respective
a) sample sizes are equal.
b) sample variances are equal.
c
228
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
Confidence Interval Estimation
195
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
172
Sampling Distributions
CHAPTER 7: SAMPLING DISTRIBUTIONS
1. Sampling distributions describe the distribution of
a) parameters.
b) statistics.
c) both parameters and statistics.
d) neither parameters nor statistics.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
142
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
117
CHAPTER 5: SOME IMPORTANT DISCRETE
PROBABILITY DISTRIBUTIONS
1. Thirty-six of the staff of 80 teachers at a local intermediate school are certified in CardioPulmonary Resuscitation (CPR). In 180 days o
32
Presenting Data in Tables and Charts
CHAPTER 2: PRESENTING DATA IN TABLES AND
CHARTS
TABLE 2-1
An insurance company evaluates many numerical variables about a person before deciding on an
appropriate rate for automobile insurance. A representative from