Question 1: Scenario:  Point and Interval Estimate :

You are the manager of an outpatient surgery facility. You are trying to plan for the upcoming month and schedule the surgery rooms. In order for you to schedule patients, you need to know about how much time surgeries are taking at the clinic so you do not over schedule past your room capacity. Prepare a report to share with the physicians of the clinic that will help you make informed decisions about how much time you estimate each surgery will take based on the data provided to you in the excel sheet. Prepare a report that addresses each of these areas. Make sure to provide in your findings the mean, median, margin of error and 95% confidence intervals

Purpose (5 points): Identify the purpose of the analysis in this section. What questions do you hope to answer?

Importance (5 points): State and explain the importance of this analysis to the department/organization. How can the findings be used?

Variables (3 points): List all variables, explain how they will be measured, and how they will be collected.

Sample Size (2 points): State your sample size and when data was collected.

Methodology (5 points): State the statistical method used in this section.

Findings (5 points): Present findings on both point (mean, median) and interval (95% CI) estimates. Copy and paste relevant results from your excel calculations here. Provide the results, but also give a description as to what each of the statistics mean.

Interpretations/Implications ( 5 points): Interpret what the findings mean. Discuss what the department/organization should do based on these findings in order to improve the facility, or in planning.

Use the following data on number of deaths from drug overdose for sample of different states. We separated states to two groups based on whether a certain drug law is being enacted or not. The states where the law is enacted are called BLUE states and those not using this law are called RED states. (Note that there are 8 observations in each group)

Table: Number of overdose deaths every year in different states.

What is the t-statistics for testing the hypothesis that the average deaths in BLUE states is equal to 30 per year.

1.96

5.67

0.77

0.27

Same question for RED states:

2. What is the t-statistics for testing the hypothesis that the average deaths in RED states is equal to 30 per year.

7.57

1.22

2.36

3.46

3. What is the p-value for the two-sided test about average deaths in BLUE states being equal 30? (Use T-distribution)

0.23

0.11

0.92

0.46

4. Same question for RED states:

What is the p-value for the two-sided test about average deaths in RED states being equal 30? (Use T-distribution)

0.03

0.14

0.08

0.01

5. Given the t-stats (or p-values) that you have obtained so far for both BLUE and RED states, what can you tell about the two-sided hypothesis of 30 average deaths in either states at 5% significance level?

Fail to reject for both

Reject for both

Reject for BLUE ; Fail to reject for RED

Fail to reject for BLUE ; Reject for RED

6. Now we are interested to check the effectiveness of the new drug law:

or similarly

What is the standard error of the differences in the means? (Assume Large Sample Properties, i.e. Normal Distribution)

5.14

9.53

10.19

6.71

7. Same as previous question: We are interested to check the effectiveness of the new drug law:

H 0 ; L a w i s N O T e f f e c t i v e v s . H 1 ; L a w i s e f f e c t i v e

or similarly

H 0 ; E ( B L U E ) − E ( R E D ) = 0 v s . H 1 ; E ( B L U E ) − E ( R E D ) < 0

What is the t-statistics for this hypothesis test?

-2.15

-0.27

-1.91

-1.23

Same as previous question: We are interested to check the effectiveness of the new drug law:

H 0 ; L a w i s N O T e f f e c t i v e v s . H 1 ; L a w i s e f f e c t i v e

or similarly

H 0 ; E ( B L U E ) − E ( R E D ) = 0 v s . H 1 ; E ( B L U E ) − E ( R E D ) < 0

8. Which of the following is correct given your answers to question 7 ? (Note: one-sided test. Also use Normal Distribution)(Hint: find p-value)

None of the given choices are correct

We reject H0 at 1% significance level

We FAIL to reject H0 at 5% significance level

We reject H0 at 10% significance level

Desktop and Server OS Vulnerabilities

a long and comprehensive explanation by typing please

1.IDENTIFY SPECIFIC VULNERABILITIES AND EXPLAIN WAYS TO FIX THEM

2.EXPLAIN WHAT RED HAT IS OS. TO LINUX WHAT DOES RED HAT DO?

You are asked to evaluate cardiorespiratory fitness for your client in order to create an individualized exercise plan. You do not have access to a metabolic cart to measure VO2 max. Name 2 different ways you can measure max effort. Explain in detail how you will do this. That is, what test will you provide and what 2 measures will you use. Compare and contrast the benefits and cons of each of the 2 measures.

Explain in detail an example of scarcity, choice and opportunity cost from your own life. How can tradeoffs such as these can be illustrated by the Production Possibilities Frontier Model? Be sure to explain the graph in detail and how it relates to your analysis.

200 word

A professor has recently taught two sections of the same course with only one difference between the sections. In one section, he used only examples taken from sports applications, and in the other section, he used examples taken from a variety of application areas. The sports themed section was advertised as such; so students knew which type of section they were enrolling in. The professor has asked you to compare student performance in the two sections using course grades and total points earned in the course. You will need to import the Scores.csv dataset that has been provided for you:

Use the appropriate R functions to answer the following questions:

1. What are the observational units in this study?

2. Identify the variables mentioned in the narrative paragraph and determine which are categorical and quantitative?

3. Create one variable to hold a subset of your data set that contains only the Regular Section and one variable for the Sports Section.

4. Use the Plot function to plot each Sections scores and the number of students achieving that score. Use additional Plot Arguments to label the graph and give each axis an appropriate label. Once you have produced your Plots answer the following questions:

a. Comparing and contrasting the point distributions between the two section, looking at both tendency and consistency: Can you say that one section tended to score more points than the other? Justify and explain your answer.

b. Did every student in one section score more points than every student in the other section? If not, explain what a statistical tendency means in this context.

c. What could be one additional variable that was not mentioned in the narrative that could be influencing the point distributions between the two sections?

please explain in detail What is the PCAOB? Please explain what is the law, a describiton of the law.

1.      As an airport manager, (a) which type of gate usage agreement do you feel is most beneficial? (b) Why would you enter into any exclusive-use agreements if they are considered to be an inefficient use of gate space? (30 points)

2.   There have been many changes in aviation security since 9/11. (a) List a minimum of three security improvements that have been made since 9/11. (b) Pick one of these improvements and write a detailed synopsis about this security improvement, including the impact (positive or negative) it has made in the aviation industry. (30 points)

3.     (a) List the seven terminal design concepts discussed in chapter seven. (b) As an airport manager at Republic Airport (KFRG), in your opinion what would be the best terminal design concept for Republic Airport listing, in detail, the reasons supporting your opinion. (c) As an airport manager at John F. Kennedy Airport, (KJFK), in your opinion what would be the best terminal design concept for Kennedy Airport, listing in detail, the reasons supporting your opinion. (40 points)

Use textbook - Seventh Edition of Airport Planning & Management by Alexander T. Wells & Seth B. Young.

Wheat kernels can be red, brown, or white. When true breeding reds are crossed with true breeding whites, all the offspring are brown. When these F1s are crossed you get the following results: 1883 Red kernels 1232 Brown kernels 197 White kernels There are varieties of brown, however, that are also true breeding. State a genetic hypothesis for inheritance of kernel color and test the above data for your hypothesis.