CHAPTER NINE
Statistical Inference:
Hypothesis Testing for Single Populations
B
1.
M
Term
C
E
Term
Hypothesis testing is derived from the mathematical notion of _.
A.
B.
C.
D.
2.
direct proof
indirect proof
margin of error
infinity
The first step in testi
Multiple Regression and
Model Building
a.
0 = 506.346, 1 = 941.900, 2 = -429.060
b.
y = 506.346 941.900x1 429.060x2
c.
11.2
Chapter 11
SSE = 151,016, MSE = 8883, s = 94.251
We expect about 95% of the y-values to fall within 2s or 2(94.251) or 188.502
uni
Methods for Quality Improvement
Chapter 12
12.2
If rational subgrouping is not used, it is possible that a change in the process mean will go
undetected. In rational subgrouping, samples are selected so that a change in the process mean
occurs between sam
Time Series: Descriptive Analyses,
Models, and Forecasting
13.2
a.
Chapter 13
The simple composite index is calculated as follows:
First, sum the observations for all the series of interest at each time period. Select the
base time period. Divide each sum
Nonparametric Statistics
14.2
Chapter 14
Since the normal distribution is symmetric, the probability that a randomly selected
observation exceeds the mean of a normal distribution is .5.
b.
By the definition of "median," the probability that a randomly se
Null and Alternate Hypothesis
You are the new Director of store planning and design at Target. You come across an
interesting article in the Journal of Consumer Research that suggests that the colors blue, green
and yellow evoke positive emotions in consu
The IS-LM Framework
Part A
The IS-LM Framework
Modifying the Investment
Topics Covered in this
Presentation
The IS and LM curves
The IS relationship
Incorporating income and interest rates
into the investment relationship
The effect on the Z-line
The effe
Econ 736
First Exam
September 25, 2012
This exam is divided into 2 parts: short answer and problems. The short answer
questions are on pages 1 and 2, the problems are on page 3.
Part I.
Answer only five out of the seven short-answer questions. Each
questi
Simple Linear Regression
Chapter 10
10.2
For all problems below, we use: Slope =
"rise" y2 y1 = "run" x2 x1
5 1 = 1 = 1 5 1
a.
Slope =
If y = 0 + 1x, then 0 = y 1x. Since a given point is (1, 1) and 1 = 1, the y-intercept = 0 = 1 1(1) = 0. b. Slope =
03 =
Categorical Data Analysis
9.2
Chapter 9
The characteristics of the multinomial experiment are:
1.
2.
3.
4.
5.
The experiment consists of n identical trials.
There are k possible outcomes to each trial.
The probabilities of the k outcomes, denoted p1, p2,
Random Variables and Probability Distributions
4.2 a.
Chapter 4
The closing price of a particular stock on the New York Stock Exchange is discrete. It can take on only a countable number of values. The number of shares of a particular stock that are trade
Statistics, Data,
and Statistical Thinking
Chapter 1
1.2
Descriptive statistics utilizes numerical and graphical methods to look for patterns, to
summarize, and to present the information in a set of data. Inferential statistics utilizes sample
data to ma
Methods for Describing Sets of Data
2.2 a.
Chapter 2
To find the frequency for each class, count the number of times each letter occurs. The frequencies for the three classes are: Class X Y Z Total Frequency 8 9 3 20
b.
The relative frequency for each cla
Inferences Based on a Single Sample: Estimation with Confidence Intervals
Chapter 5
5.2
a.
z/2 = 1.96, using Table IV, Appendix B, P(0 z 1.96) = .4750. Thus, /2 = .5000 - .4750 = .025, = 2(.025) = .05, and 1 - = 1 - .05 = .95. The confidence level is 100%
Inferences Based on a Single Sample: Tests of Hypothesis
6.2
Chapter 6
The test statistic is used to decide whether or not to reject the null hypothesis in favor of the alternative hypothesis. A Type I error is rejecting the null hypothesis when it is tru
Design of Experiments and Analysis of Variance
8.2
Chapter 8
The treatments are the combinations of levels of each of the two factors. There are 2 5 = 10 treatments. They are: (A, 50), (A, 60), (A, 70), (A, 80), (A, 90) (B, 50), (B, 60), (B, 70), (B, 80),