Chapter 7: Sampling and Sampling Distributions
SOLUTIONS TO PROBLEMS IN CHAPTER 7
A union membership list for the company.
A list of all employees of the company.
White pages of the telephone directory for Utica, New York.
Chapter 11: Experimental Design and Analysis of Variance
We began this chapter by introducing some basic concepts of experimental design. We saw that we
carry out an experiment by setting the values of one or more factors before the values of the response
Prepared By :
Dr. Gladys E. Simpson
INDEX OF TEMPLATES.
Topic / Problem
CI -MEAN- KNOWN - using Z
SAMPLE SIZE N
CI -TWO MEANS- UNKNOWN
CHAPTER 06 - Continuous Random Variables
CHAPTER 6Continuous Random Variables
Intervals of values.
By finding areas under the curve.
0 for all x; area under the curve equals 1.
Relative likelihood that x will be near the g
APPLICATION OF QUANTITATIVE METHODS IN BUSINESS
GENERAL INFORMATION IMPORTANT INFORMATION COURSE DETAIL COURSE CALENDAR
QMB 3200 Spring
Levels of Data
I am collecting data for all students who
have enrolled in my QMB class over the
past 3 years. What is the level of data
measurement for the following variables
First Exam (Test Bank) questions
* To test your understanding of the materials and be prepared for the exams *
* There are No Proportion question on the Exams
Which of the following distributions can be used to solve the following problem?
The average num
The Binomial Probability Distribution
An experiment has a binomial probability distribution if three conditions are satisfied.
a. There are a fixed number of trials. The number of trials is denoted by n.
b. The trials are independent.
c. The only outcomes
QMB 3200 Summer
Quiz 2 Ch. 4, 5, 6, &
7rof. Gladys Simpson
You select a student at random from all those in a large university. A student
can be majoring either in Business or in Computer Science, and can be under
20 years old, between
QMB 3200 Summer
Quiz 3 Ch. 8, 9, & 10
Prof. Gladys Simpson
Statistical Inference: Estimation For
8.1 Estimating the Population
Mean Using the z Statistic (
A random sample of 81 items is taken
Chapter 07 - Sampling and Sampling Distributions
CHAPTER 7 Sampling and Sampling Distributions
A random sample is chosen by assigning each unit in the population a unique identifying
number and then utilizing a random digit table to identify the units
CHAPTER 08 - Confidence Intervals
CHAPTER 8Confidence Intervals
8.1 There is an entire population of possible sample means. A confidence interval is constructed to
be confident that the true value of is contained in that interval.
95% of the time
Chapter 05 - Discrete Random Variables
CHAPTER 5Discrete Random Variables
A random variable is a variable that assumes numerical values determined by the outcome of
The values of a discrete random variable can be counted, or lis
CHAPTER 09 - Hypothesis Testing
CHAPTER 9Hypothesis Testing
Type I error: reject H 0 when H 0 is true
= probability of a Type I error
Type II error: do not reject H 0 when H 0 is false
= probability of a Type II error
Because the probability o
CHAPTER 10 - Statistical Inferences Based on Two Samples
CHAPTER 10Statistical Inferences Based on Two Samples
Sampled populations are normally distributed with equal variances.
Sampled populations are approximately normal.
CHAPTER 11 - Experimental Design and Analysis of Variance
CHAPTER 11Experimental Design and Analysis of Variance
factor = Independent variables in a designed experiment
treatments = Values of a factor (or combination of factors)
experimented units =
Continuous Random Variables
In this chapter we have discussed continuous probability distributions. We began by
learning that a continuous probability distribution is described by a continuous
probability curve and that in this context probabilities are a
Discrete Random Variables
In this chapter we began our study of random variables.
We learned that a random variable represents an uncertain numerical outcome. We also
learned that a random variable whose values can be listed is called a discrete
Chapter 6 - Sampling Distributions
A sampling distribution is the probability distribution that describes the population of all
possible values of a sample statistic. In this chapter we studied the properties of two
important sampling distribu
This course applies and extends methods from STA 2023 to business
As you can see, we are conducting this class as if it
was a real life project. The most challenging and important job of a
project manager is
Appendix B: Tables
B.1 Areas under the Normal Curve
If z = 1.96, then
P (0 to z ) = 0.4750.
QMB 3200 Summer
quiz 2 Topics rEVIEW
Prof. Gladys Simpson
Did you read last week announcement ?
Feedback on Quiz 1
Issues using the template
Excel does not use same
methodology as book
Total Quality Management (TQM)
TQM is a philosophy that encourages companies and their employees to focus on finding
ways to continuously improve the quality of their business practices and products.
Six Sigma at many organizations simply means a measure
P.S. Forgive my artistic abilities demonstrated by my graphs in these exercises - I did them
on a fly using MS Paint brush they all supposed to represent the Bell shaped (also called
normal, or Gaussian) distribution curve.
CHAPTER 6 Normal distribution
* MUST LEARN HOW TO USE the Empirical
You can solve many of the exams questions
The Empirical Rules
(1) 1 encloses about 68% of xs
Or saying the same thing in another way-The area between one
standard deviation away from the mean (in bot