QMB 3200 Summer Final prep
1
Some key points and concepts mentioned in class and solved by both online and face-to-face students
Chapter 8: Statistical Inference: Estimation for Single Populations
Confidence Intervals Notes
* There will be no questions on the exam regarding the “proportion” of a population In optional Section 7.5 we concluded this chapter by comparing confidence intervals for μ with tolerance intervals. We emphasized that a tolerance interval is meant to contain a specified percentage of the individual population measurements, while the confidence interval is meant to contain only one number—the population mean. Starting chapter 7 and the rest of the chapter you will be using statistical samples that fall into the following two categories:
Small size (n) sample where n 32 when
.05, we should reject H0.
True False
= 36, s = 1.6, and n = 30 at =
In the [H0 : µ ≤ µ0 vs HA : µ > µ0 ] Hypothesis scenario. What value (or values) of alpha (α) would we reject H0 for µ greater than the 10 if X = 11, s = 2, and n =
36?
a.
b.
c.
d.
.05 and .01
01 and .001
.001
All of the above
Stylianos Drakatos PhD, PMP
15
Chapter 10: Statistical Inferences about Two Populations
True / False Questions
1. An independent samples experiment is an experiment in which there is no relationship between the measurements in the different samples.
True / False
2. In forming a confidence interval for
, only two assumptions are required: independent samples and sample sizes of at least 30.
True / False
3. In testing the equality of population variances, two assumptions are required: independent samples and normally distributed populations.
True / False
4. When comparing two independent population means, if n1= 13 and n2= 10, degrees of freedom for the t statistic is 22.
True / False
5. There are two types of machines called type A and type B. Both type A and type B can be used to produce a certain product. The production manager wants
Some key points and concepts mentioned in class and solved by both online and face-to-face students
Chapter 8: Statistical Inference: Estimation for Single Populations
Confidence Intervals Notes
* There will be no questions on the exam regarding the “proportion” of a population In optional Section 7.5 we concluded this chapter by comparing confidence intervals for μ with tolerance intervals. We emphasized that a tolerance interval is meant to contain a specified percentage of the individual population measurements, while the confidence interval is meant to contain only one number—the population mean. Starting chapter 7 and the rest of the chapter you will be using statistical samples that fall into the following two categories:
Small size (n) sample where n 32 when
.05, we should reject H0.
True False
= 36, s = 1.6, and n = 30 at =
In the [H0 : µ ≤ µ0 vs HA : µ > µ0 ] Hypothesis scenario. What value (or values) of alpha (α) would we reject H0 for µ greater than the 10 if X = 11, s = 2, and n =
36?
a.
b.
c.
d.
.05 and .01
01 and .001
.001
All of the above
Stylianos Drakatos PhD, PMP
15
Chapter 10: Statistical Inferences about Two Populations
True / False Questions
1. An independent samples experiment is an experiment in which there is no relationship between the measurements in the different samples.
True / False
2. In forming a confidence interval for
, only two assumptions are required: independent samples and sample sizes of at least 30.
True / False
3. In testing the equality of population variances, two assumptions are required: independent samples and normally distributed populations.
True / False
4. When comparing two independent population means, if n1= 13 and n2= 10, degrees of freedom for the t statistic is 22.
True / False
5. There are two types of machines called type A and type B. Both type A and type B can be used to produce a certain product. The production manager wants