Directions: Answer each question completely, showing all your work. Refer to the SPSS tutorials located in the Topic 4 materials as needed. Copy and Paste the SPSS output into the word document for the calculations portion of the problems. (Please remember to answer the questions you must interpret the SPSS output).

1.  A researcher is interested to learn if there is a linear relationship between the hours in a week spent exercising and a persons life satisfaction. The researchers collected the following data from a random sample, which included the number of hours spent exercising in a week and a ranking of life satisfaction from 1 to 10 ( 1 being the lowest and 10 the highest). 

Participant.    Hours Of exercise       Life Satisfaction.

1                                    3                                                              1

2                                    14                                                            2

3                                    14                                                            4

4                                     14                                                           4

5                                     3                                                             10

6                                   5                                                                 5

7                                    10                                                              3

8                                   11                                                               4

9                                     8                                                                 8

10                                  7                                                                 4

11                                    6                                                                9

12                                   11                                                               5

13                                    6                                                                  4

14                                    11                                                              10

15                                     8                                                                4

16                                     15                                                                7

17                                     8                                                                  4

18                                     8                                                                   5

19                                      10                                                                4

20                                      5                                                                    4

2.  Find the mean hours of exercise per week by the participants.

3.  Find the variance of the hours of exercise per week by the participants.

4.  Determine if there is a linear relationship between the hours of exercise per week and the life satisfaction by using the correlation coefficient.

5.  Describe the amount of variation in the life satisfaction ranking that is due to the relationship between the hours of exercise per week and the life satisfaction.

6.  Develop a model of the linear relationship using the regression line formula.

Answer the following questions in a paragraph. Use Apa Style and avoid plagiarism. Use citations and references. Make the assignment in Spanish.

1. What are the advantages and disadvantages of using a bar chart, pie chart or Pareto chart?

2. Contrast the bar chart for categorical data with the histogram for numerical data.

3. What types of percentages can help interpret the results obtained in a contingency table based on two categorical variables?

4. What are some ethical aspects that must be present when presenting data in tables and graphs?

  Explain the importance of variation to health care organizations and answer the following questions in the space provided below.
1. What might be the key processes for health care organizations?
2. What are the potential common causes of variation that would have an impact on the key processes of health care organizations?
3. What special causes might be more important than the others?
4. How might health care organizations’ business environment be dynamic and change over time?

 

  

Homework Assignment 1 

Due in Week 1 and worth 30 points

Describe a work task, a hobby, or another activity that you regularly do, and sequentially list the various actions you take in order to complete this activity. You will need to repeat this activity at least two times to see if the changes you engage in will assist in reducing the amount of time. Consider the complexity of your list and the amount of steps required to complete the activity. Choose an activity that you complete on a daily basis. 

Please consider the choices below or select one task from personal experience:

Preparing for a jog, workout, or other sports related activity.

Cooking a meal or preparing a sandwich.

Making coffee in the morning.

Cleaning the house.

Washing the car.

Bathing/grooming your dog or cat.

Setting up a grill to BBQ.

Answer the following questions in the space provided below:

1. How many steps did it take you to complete the activity?

2. What time did each step take and how much time was delayed between steps?

3. What was the average time each attempt took? Calculate the average of each repetition. Include your data following the assignment one example provided under Instructor Insights Week 1

4. Differentiate the main actions between doing and improving your activities. Use the textbook to support your explanation. See page 7-9.

5. Determine the overall manner in which variation has affected your activities. Explain what is variation and the importance of the standard deviation in a process? You will need to calculate the standard deviation of each attempt. Include your data and calculation. See page 13-14 to support your answer.

6. Overall, how much time were you able to cut down on when engaging in the same activity while implementing the new changes?

 Respond to the following in a minimum of 175 words: 

The Tasty Sub Shop Case:

A business entrepreneur uses simple linear regression analysis to predict the yearly revenue for a potential restaurant site on the basis of the number of residents living near the site. The entrepreneur then uses the prediction to assess the profitability of the potential restaurant site.

And

The QHIC Case:

The marketing department at Quality Home Improvement Center (QHIC) uses simple linear regression analysis to predict home upkeep expenditure on the basis of home value. Predictions of home upkeep expenditures are used to help determine which homes should be sent advertising brochures promoting QHICs products and services.

Discuss the difference in the type of prediction in both cases and provide rational of the reasons that these predictions were used.

 

Use the normal distribution of IQ scores, which has a mean of 105105
and a standard deviation of 1212,
and the following table with the standard scores and percentiles for a normal distribution to find the indicated quantity.
LOADING…
Click the icon to view the table.

Percentage of scores less than 8181
is nothing%.
(Round to two decimal places as needed.)

Write a 2 – 3 page essay explaining the difference between descriptive statistics and statistical inference, and the difference between sample and population, between statistics and parameters. Also, contrast the categorical random variable with the numerical random variable. Be sure to write according to APA, include citations and references. Avoid plagiarism.

 

Please respond to both POST1: and POST2: in at least 200 words each.

Initial post that both POST1: and POST2: are responding to.

Consider the following two functions:

• F(m): The average temperature in Fahrenheit during month (m) of the year.

Month (m)

F(m)

Month (m)

F(m)

Month (m)

F(m)

January

42

May

72

September

73

February

43

June

83

October

63

March

52

July

84

November

55

April

63

August

84

December

44

• C(f): The conversion formula to calculate the temperature in Celsius based on the temperature in Fahrenheit (f).

For this discussion, your task is as follows:

• Calculate (C F) for the month of your choice.
• Discuss the meaning of the function (C F)(m).
• How does the composition of functions in parts (a) and (b) compare to (F C)(m)? Are they the same?

POST1:

Hello Class,

The month I will use to calculate will be F(August)=84.

In this example we are using two known functions to produce desired outputs. These are functions because for every input there is only one output.

a) C(F)=5/9*(F-32)= C(84)=5/9*(84-32)= 28.89

b) (C F)(m) is used to describe the function that converts F(m) from a average temperature in Fahrenheit to an average temperature in Celsius. In the above example F(August)=84 so we can substitute the value of F to find an equivalent output in Celsius.

c) (F C)(m) would be used to convert the Average temperature in Celsius to Average temperature in Fahrenheit. This conversion would need a known value of C(m). That value would be an input into the function F(C).

POST2:

For this example, I chose to calculate by birth month of February averaging 43 degrees Fahrenheit. Using c(f) = 5/9 (f-32)

A) The temperature in Celsius is calculated as:

c(43) = 5/9 (43-32)

=5/9(11)

=6.1 degrees Celsius

B) The function (C F)(m) is to take the average temperature, in Fahrenheit, from the months in a year and convert this into Celsius.

C) (C F) (m) would be different from (F C) (m). While (C F) (m) gives the average temperature of a particular month in Celsius, (F C) (m) converts visa versa.