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Linear correlation (presented in Session 5) and linear regression are closely related statistical concepts. Please pick a topic of interest to you and describe how these two methods might be used. What are the differences between the two methods and when would you use each?
Finnish Furniture manufactures tables in facilities located in three cities- Reno, Denver, and Pittsburgh. The tables are then shipped to three retail stores located in Phoenix, Cleveland, and Chicago.
A two-way ANOVA model was used to analyze an experiment with two levels of one factor, three levels of a second factor, and 6 observations per treatment combination.
A survey of the residents of a new subdivision on why they happened to select that area in which to live. You also wish to secure some information about what they like and do not like about life in the subdivision.
Calculate the 95% confident interval to estimate the percentage of Millennial who believe that their generation has a distinctive identity as compared with the other generations
All college males and females who worked last summer. We conjectured before seeing the data that men are more likely to work. The hypotheses to be tested are?
List all outcomes corresponding to the five smallest possible values of Y, and state which Y value is associated with each one.
The measurements (in millimeters) for the period from 8:00 a.m. to 10:30 a.m. follow. Use Microsoft Excel to design a mean chart and a range chart. Is the process in control or out of control?
Point to at least two directional and nondirectional hypotheses you would like to test associating either to your current job or job you would like to do after graduation.
Develop a 90% confidence interval for the true mean weight. What sample size would be necessary to estimate the true weight with an error of +/- 0.03 grams with 90% confidence?
What is your decision about H0 and H1 at = 0:05? Give the orderings of the population means according to the tukey procedure. Is H0 : 2 = 4 a contrast?
Looking at the data, you suspect that the manufacturer is incorrect in its label claim. You want to perform hypothesis testing to prove or disprove it.
Find out which (t-, z- or neither) distribution is suitable Then if you can utilize either a t- or z- distribution, provide associated critical value (critical t- or z- score) from that distribution to reach given confidence level.
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