(Solution) If This Is Your Data Set, You Are Allowed To Choose Among The Following 5 Alpha Levels.008 0. | Snapessays.com


(Solution) If this is your data set, you are allowed to choose among the following 5 alpha levels.008 0.


The data set contains 6 quantitative variables, 1 categorical variable and two factors (Gender and 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 will have to create histograms and descriptive statistics for the 6 quantitative variables. Do not do statistical analyses on the factors. In this step you must review these descriptive statistics and graphics 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 you may 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 problem in statistical terms. Refer to slides or the book to develop your argument. (You may not drop “Job” or“Looking” and you should not analyze Element, Gender or Rank). For the remaining variables, indicate why youbelieve they can reasonably be analyzed using descriptive statistics. Look in Chapter 7 regarding the Central Limit Theorem.question 1The confidence interval of a quantitative variable is centered on the mean and has a margin of error that is added and subtracted to determine the confidence limits for that mean.  What is the margin of error for the variable OWL in your data set?question 2What is the test statistic you needed to use to calculate the previous value?Question 2 options: ? t?2/,df z?2/ Cannot calculate because we dropped this variable or it was not in our data set. question 3According to your calculations, what are the upper and lower confidence limits for the variable FOX in your data set? (Answer precision to 3 decimal places, even if those are 0s.) Provide lower limit first, then upper limit.Format should be LL - UL.question 4Show your calculations for 1 ( and only 1) of the these two variables: SEAL or MAN.  Include the number in  the centre of the range, the values used to calculate the confidence interval and the final values.  question 5Can you calculate a confidence interval for "LOOK"?Question 5 options: Yes No Not enough information provided. question 6Justify your last answer.question 7What is the value in the centre of the confidence interval for LOOK?Question 7 options: p y?? x?? p0 Cannot be calculated question 8What values did you calculate for the confidence limits for LOOK?  (Show lower limit first and upper limit second.) To answer these questions you would need the data set that is attached to this questionIf this is your data set, you are allowed to choose among the following 5 alpha levels.

 

0.03

 

0.008

 

0.11

 

0.07

 

0.45

 

Choose 1 to use in your assignment.

 

Element

 

Gender

 

OWL

 

FOX

 

LION

 

SEAL

 

MAN

 

looking

 

ranking

 

EE_11879

 

1

 

.

 

5.6

 

2.6

 

3.5

 

.

 

2

 

1

 

EE_9053

 

1

 

.

 

1.3

 

2.3

 

4.9

 

.

 

1

 

1

 

EE_19468

 

1

 

1.8

 

3.4

 

.

 

2.1

 

.

 

1

 

1

 

EE_22386

 

1

 

1.7

 

5

 

3.5

 

4.7

 

.

 

2

 

1

 

EE_8786

 

1

 

2.2

 

3.100

 

3

 

2.7

 

.

 

1

 

1

 

EE_21996

 

1

 

2.6

 

1.7

 

1.1

 

1.9

 

3.8

 

1

 

1

 

EE_28489

 

1

 

2.8

 

1.1

 

1

 

1.5

 

.

 

1

 

1

 

EE_23295

 

1

 

3

 

2.8

 

2.9

 

2.9

 

.

 

2

 

1

 

EE_21757

 

1

 

3.2

 

2.6

 

2.5

 

3.1

 

4.8

 

2

 

1

 

EE_24784

 

1

 

3.3

 

4.4

 

2.1

 

4.2

 

.

 

2

 

1

 

EE_5265

 

1

 

3.3

 

5.4

 

.

 

2.2

 

1.6

 

2

 

1

 

EE_17991

 

1

 

3.5

 

4.3

 

3.1

 

1.7

 

.

 

2

 

2

 

EE_20184

 

1

 

3.9

 

2.8

 

2.8

 

3.4

 

2.1

 

2

 

2

 

EE_27734

 

1

 

3.9

 

3.8

 

.

 

3.4

 

.

 

2

 

2

 

EE_21107

 

2

 

4.1

 

3.5

 

3.8

 

1.5

 

.

 

2

 

2

 

EE_16500

 

1

 

4.1

 

5.1

 

3.7

 

3.3

 

.

 

2

 

2

 

EE_12321

 

1

 

4.1

 

4.1

 

.

 

4.2

 

1.5

 

2

 

2

 

EE_26043

 

1

 

4.2

 

4.3

 

2.8

 

2.7

 

.

 

2

 

2

 

EE_7000

 

2

 

4.3

 

1.5

 

.

 

2.2

 

.

 

2

 

2

 

EE_9438

 

2

 

4.3

 

2.9

 

3.3

 

2.8

 

.

 

1

 

2

 

EE_19301

 

2

 

4.3

 

2.3

 

4

 

3.1

 

.

 

2

 

2

 

EE_26444

 

2

 

4.3

 

3.2

 

1.2

 

4.7

 

.

 

2

 

2

 

EE_6601

 

2

 

4.5

 

2.2

 

4.8

 

.

 

1.1

 

2

 

3

 

EE_24986

 

2

 

4.5

 

2.4

 

4.8

 

1.5

 

.

 

2

 

3

 

EE_18570

 

2

 

4.7

 

3.8

 

2.4

 

4.5

 

.

 

2

 

3

 

EE_5471

 

2

 

4.7

 

4.1

 

4.5

 

3.5

 

1.3

 

2

 

3

 

EE_14878

 

2

 

4.8

 

1.8

 

4

 

4.9

 

.

 

2

 

3

 

EE_16074

 

2

 

4.8

 

.

 

.

 

2.7

 

.

 

2

 

3

 

EE_5218

 

2

 

4.9

 

1.6

 

2.7

 

1.8

 

.

 

2

 

3

 

EE_21425

 

2

 

5.1

 

4.1

 

3.4

 

4.5

 

.

 

2

 

3

 

EE_19488

 

2

 

5.4

 

4.6

 

5.2

 

4.4

 

.

 

2

 

3

 

EE_26877

 

2

 

5.4

 

2.7

 

3.4

 

3.7

 

1.1

 

2

 

3

 

EE_21508

 

2

 

5.5

 

3.6

 

3

 

4.4

 

.

 

1

 

3

 

EE_18894

 

2

 

5.7

 

3.6

 

2.9

 

3.3

 

.

 

2

 

3

 

EE_25044

 

2

 

5.7

 

3.8

 

3.8

 

3.8

 

2.8

 

2

 

3

 


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This question was answered on: May 23, 2022

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