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

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?

Count Score Section
10 200 Sports
10 205 Sports
20 235 Sports
10 240 Sports
10 250 Sports
10 265 Regular
10 275 Regular
30 285 Sports
10 295 Regular
10 300 Regular
20 300 Sports
10 305 Sports
10 305 Regular
10 310 Regular
10 310 Sports
20 320 Regular
10 305 Regular
10 315 Sports
20 320 Regular
10 325 Regular
10 325 Sports
20 330 Regular
10 330 Sports
30 335 Sports
10 335 Regular
20 340 Regular
10 340 Sports
30 350 Regular
20 360 Regular
10 360 Sports
20 365 Regular
20 365 Sports
10 370 Sports
10 370 Regular
20 375 Regular
10 375 Sports
20 380 Regular
10 395 Sports

In: Statistics and Probability

Researchers Hill and Barton used data from the 2004 Olympics to test whether one uniform color...

Researchers Hill and Barton used data from the 2004 Olympics to test whether one uniform color (red or blue) gave athletes a competitive advantage. In the sports of boxing tae kwon do, and wrestling, athletes are randomly assigned either a red or blue uniform. They found that out of 457 matches, the competitor in red won 248 times.

Let pi be the long-term probability that an Olympic match of boxing tae kwon do, or wrestling is won by the athlete wearing a red uniform. Then we want to test

H0:π=0.50

Ha:π≠0.50

a. Is a normal approximation for the null distribution appropriate?


A. No
B. Yes

b. Compute a theory-based p-value for this study. If a normal approximation is appropriate, then use a normal approximation. If not, then use a binomial distribution.

c. What is your conclusion?


A. There is moderate evidence that the long-term probability of winning for Olympic athletes in red uniforms is not 0.5.
B. There is strong evidence that the long-term probability of winning for Olympic athletes in red uniforms is not 0.5.
C. It is plausible that the long-term probability of winning for Olympic athletes in red uniforms is 0.5.

In: Statistics and Probability

For this project, you will look at exam scores for two different sections of the same...

For this project, you will look at exam scores for two different sections of the same class: an 8am section and a 12pm section. Both sections were given the same exams. In each section there were two versions distributed: Version A and Version B. So in each section some students got version A and some students got Version B. You will use CrunchIt to create graphs and compute values in this assignment. The data file can be found in Moodle under the “Data Sets” portion of the “Misc” section. It is named ExScores (I HAVE LISTED ExScores SCORES BELOW). Keep in mind that answers to questions need to be justified. However, keep explanations/justifications BRIEF!!!!

ExScores DATA:

Score out of 100,Exam Version,Section Time
80.5,A,8
87.5,A,8
70,A,8
80.5,A,8
55.5,A,8
89.5,A,8
68.5,A,8
65.5,A,8
62,A,8
94,A,8
62,A,8
54,A,8
90,A,8
66.5,A,8
82,B,8
75.5,B,8
80.25,B,8
52.5,B,8
49,B,8
87.75,B,8
59,B,8
68.5,B,8
43,B,8
88,B,8
90.5,B,8
91,B,8
85,B,8
42,B,8
35,A,12
56.5,A,12
70.75,A,12
78,A,12
65,A,12
41,A,12
67.5,A,12
49,A,12
52,A,12
66.25,A,12
79.75,A,12
52,A,12
56.5,B,12
39.5,B,12
53.5,B,12
43.5,B,12
76,B,12
48.5,B,12
86,B,12
64.5,B,12
87,B,12
56.5,B,12
49,B,12
79.75,B,12
70,B,12
67.5,B,12
80.5,B,12
57,B,12
61.5,B,12
87,B,12

Question 1: Comparing Sections

In this part, we will compare the two sections only and NOT take into consideration the different versions of the exam. We will use the following question to motivate the work that we do.

A. Motivating Question In Part 1, we will try to answer the question: Did one section do better on the exam than the other? 1) Without looking at the data, do you believe that there is a difference in performance between the sections? If so, which one did better?

B. Shape 1) For each section, create a histogram of the data of bin width 10 beginning at 30. Be sure to appropriately name your histograms! 2) What are the classes for the histograms in 1)? 3) Using the graphs in 1), give the shapes of the distributions. 4) For each section, create a histogram of the data of bin width 5 beginning at 30. Be sure to appropriately name your histograms! 5) What are the classes for the histograms in 4)? 6) Using the graphs in 4), give the shapes of the distributions. 7) Based on your answers to 3) and 6) what is the shape of the distributions of exam scores for each section? 8) Does it appear that one section did better than the other? Explain.

C. 1) For each section, give the mean and standard deviation. 2) Interpret the standard deviation for each section. Did one section seem to vary more than the other? 3) For each section, give the five number summary. 4) Do there appear to be any outliers? 5) Graph side by side box plots of the exam scores for each section. Using the boxplots, does it appear that one section did better than the other? Why? 6) For each section, would you say that the mean or the median is a better measure or do they work about the same? 7) Considering only your answers to 1.3, does it appear that one section did better than the other?

D. 1) Do your results fall in line with your initial thoughts on the motivating question?

In: Statistics and Probability

This is for a hotel that would be located in the University of the Virgin Islands...

This is for a hotel that would be located in the University of the Virgin Islands

Section VI: Marketing Strategies

Unit-level goals and strategies

A.        Marketing: At least five items need to be identified as part of the Marketing Strategy

1. Target market: should identify the primary customers of the business. This should include demographics including age ranges, socioeconomic status, customer locations.

2. Product mix strategy: this should consist of a description of the services offered at Lovango Key Resort. Current and Future. If you are not sure, research product mix.

3. Pricing strategy Pricing strategy should follow the product strategy. Thus, your work must state if the prices are higher, lower, or match the competition. You must defend your strategy as to why you have chosen this strategy. Be articulate.

4. Promotion and selling strategy: The promotion strategy is one key part of the overall marketing strategy. What promotional strategy will be developed? What is the recommended budget for advertising and other promotional activities. State what the promotional activities are planned. State what media you may plan for. How much does this cost per event? (hint, you must research costs. BE SURE TO CITE YOUR WORK and RESEARCH). It may be good to create a 1 year promotional plan to insert as part of this section of the strategic plan.

5. Service Strategy: Service strategy should be strait forward and outline the day-to-day service policies. This section should focus on the degree of service.

In: Operations Management

Shell Malaysia has use Star CRM solutions, analyze and evaluate what have Shell Malaysia organization use...

Shell Malaysia has use Star CRM solutions, analyze and evaluate what have Shell Malaysia organization use in operational, analytic, and collaborative functions of the chosen CRM and highlight Star CRM solutions benefits to Shell Malaysia organization (explain in detail)

In: Operations Management

In the selection decision what types of information can be used? Where does it come from?...

In the selection decision what types of information can be used? Where does it come from? What characteristics are most useful?  

Explain your analysis in detail.

In: Operations Management

Google the phrase “Do you like cilantro?” It is said that a person either loves or...

Google the phrase “Do you like cilantro?” It is said that a person either loves or hates the taste of cilantro and there are very few people that don’t feel strongly about their like or dislike of the taste of cilantro. Scientists now think they have found a genetic reason for why people either love or hate cilantro. According to one study, it is estimated that 4 – 14 percent of the population hate the taste of cilantro and these numbers can vary by region or ethnicity.

In Texas, Tex-Mex or Mexican food is very popular. Cilantro is used as an ingredient or a garnish in Tex-Mex salsas and dishes.

Let’s say that based on experience, you believe that less than 15% of the population of your city dislike cilantro. To test this claim, you question 200 people randomly selected from your city about their like or dislike of the taste of cilantro and 32 of those questioned state that they dislike the taste of cilantro. Test your claim that less than 15% of the population of your city dislikes cilantro?

Note

The 15% does not represent a long-run proportion or probability of a process. It represents a proportion of a finite population that dislike the taste of cilantro. See Section 2.1 of your textbook for the validity conditions necessary to perform a test on a proportion from a finite population.

Run Applet

Navigate to the Rossman Chance Applets.Links to an external site. Use the Theory-Based Inference model to answer the questions.

Post

Post a picture of the output from the applet you used that includes the hypothesis statements, null distribution graph, and probability calculation related to your claim.

  1. Can you use the theory-based applet on this problem? Explain why you either can or cannot use the theory-based applet.
  2. What p-value did you obtain?
  3. Explain the results of your test in terms of your claim that less than 15% of the population of your city dislikes cilantro.

Your initial post should be made before the end of the fourth day of the module to receive full credit. Return at least once later in the module to comment on at least two classmate's posts. Do NOT “post and run” – making all of your posts in the same visit. You need multiple visits to the Discussions to gain multiple perspectives by reading all of the posts and replies. Late postings will be graded as per policy posted without any exceptions!

In: Statistics and Probability

Go to a professional association meeting, such as a local chapter meeting of the Institute of...

Go to a professional association meeting, such as a local chapter meeting of the Institute of Management Accountant (IMA), Accounting and Financial Women’s Alliance (AFWA), or your state board of accountancy. Explain what you learned from this meeting and how this will influence your accounting career. Please write 1000-1500 words about the above topic.

In: Accounting

What is the state space size for a 2x2 Rubik’s cube? Explain your reasoning. Contrast the...

What is the state space size for a 2x2 Rubik’s cube? Explain your reasoning. Contrast the

state transition function of the 2x2 cube with the 8-puzzle. How many “tiles” the cube have?

How many states does each “tile” have?

In: Computer Science

I have the answers for everything, I just need for it to be explained as to...

I have the answers for everything, I just need for it to be explained as to why that's the answer.

A 24-year old female automotive technician presents herself at the doctor’s office. She complains of fever and of pain in her left hand.

On physical examination, the patient had a deep wound on her left palm that was oozing pus. She had purplish, red streaks running up her left arm. She had enlarged lymph nodes at the elbow and under her arm. The patient’s skin was warm and dry.

In her history, the patient had punctured her left palm with sharp metal from the undercarriage of a "real cherry" 1977 Malibu about a week earlier. She said the wound had bled for a few minutes and she thought that she had washed it "real good" with soap and water. She had covered the wound with a large "band-aid" and gone back to work. She developed a fever about three days later. For the past couple of days, she "did not feel so good" and had vomiting and diarrhea.

1. What type of infection do you believe she has in this hand? EXPLAIN YOUR ANSWER.

a. Streptococcus pyogenes

b. Staphylococcus aureus

c. Clostridium

d. Pseudomonas

e. Pasteurella multocida

2. From complaint and physical examination, which of the symptoms lead you to your choice of agent? EXPLAIN YOUR ANSWER.

a. the fever and pain in the hand

b. the fever, wound with oozing pus and enlarged lymph nodes

c. the lymph nodes and red streaks

d. the warm dry skin

e. the pain, red streaks and enlarged lymph nodes

3. From the history, which of the information confirmed your choice? EXPLAIN YOUR ANSWER.

a. The wound had bled for a while.

b. The wound was cleaned with soap and water.

c. The wound had been covered and had perhaps become anaerobic.

d. She had diarrhea and vomiting.

e. The cut was from a rusting car frame.

4. Which of the following is most likely to follow this infection? EXPLAIN YOUR ANSWER.

a. gangrene and amputation

b. toxic shock syndrome

c. muscle spasms

d. neurological disfunction of the hand

e. arthritis

I just need the answers to the question explained.

In: Nursing