STEP 1

The data set contains6quantitativevariables, 1 categorical variable andtwofactors(Genderand Ranking).The possible variable names are shown below this paragraph. They have no meaning so do not try to base any analysis on what the variable means.

You willhave to createhistograms and descriptive statistics for the6quantitativevariables.Do not do statistical analyses on the factors.In this step you must review these descriptive statistics andgraphics to decide if you can analyze the data provided.This requires application of the empirical rule.Based on this analysis, you must decide whether or not to use each variable in your analysis. It is expected that youmay drop a variable after this step because you do not think it can be analyzed.In order to drop a variable,you must explain why it is a problemin statistical terms.Refer to slides or the book to develop your argument.(You may not dropJoborLookingand you should not analyze Element,GenderorRank). For the remaining variables,indicatewhy youbelieve they can reasonably be analyzed using descriptive statistics.Look in Chapter 7 regarding the Central Limit Theorem.

Question 2 Which variable do you think should be dropped?

OWL

FOX

LION

DOG

SEAL

MAN

Question 3 What is the justification for dropping this variable?

Step 2

You must set an alpha for your analyses. This must not be the common ones, .10. .05or.01. Provide an explanation of your choice and describe the impact it will have on your results in the context of Type I error. (Needless to say, you must also demonstrate an understanding of Type I error.)

Question 4 What alpha do you choose?

Question 5 What are the implications of choosing this alpha?

Now, in additional sentences, describe Type II error andprovide an explanation of how this will impact your results. Then answer two specific questions:

What precaution do we take to acknowledge the fact that we do not have any way to calculate Type II error?

What is one thing you can think of that might lower the risk of making a type II error. This is not something in your text. You will have tohave an understanding of basic statistical principles andbe creative.

Question 6 What is meant by type II error?

You say there is a difference when in actuality there is NO difference.

The difference is so small that it is not critical to the hypothesis.

The difference is so big a number that you know it has to be true even without testing.

You decided there is no difference when in actuality there is a difference.

Question 7 How is this issue dealt with in basic statistics?

Question 8-

What statistical value is in the centre of a confidence interval?

Question 8 options:

Sample variance

Population mean

Population standard deviation

Sample standard deviaiton

sample mean

Question 9

Which of the following represents the test statistic you must use to to determine the margin of error for the confidence interval for the variable OWL?

Question 9 options:

standard deviation

standard error of the mean

z/2

t/2

sample mean