David Savage, a business graduate, started a manufacturing business known as HARDA Manufacturers. Over the last three years, the company has experienced steady growth. There are seven vice presidents, who represent; (1) Finance, (2) Marketing, (3) Manufacturing, (4) Information System and Services, (5) Human Resources, (6) Administration, and (7) Research and Development.
These seven vice presidents report to David Savage, the Chief Executive Officer (CEO) of this business. The Information Systems and Services department was established last year when HARDA Manufacturers began developing a new information system consisting of a server connected to each employee's personal computer. This is a limited information system, and the PCs can download and upload data to the server. HARDA Manufacturers is still designing and developing applications for its new system. David Savage received a letter from the external auditor. He called a meeting with his vice presidents to review the recommendation that HARDA Manufacturer should form an information system steering committee.
Required: a) Explain the possible reasons for the fact that auditors have recommended forming a steering committee. Also discuss the specific responsibilities of this steering committee. [5 marks]
b) Discuss the benefits and the composition of this steering committee. [2 marks]
- upto 300 words
In: Accounting
In: Biology
Seasonal affective disorder (SAD) is a type of depression during seasons with less daylight (e.g., winter months). One therapy for SAD is phototherapy, which is increased exposure to light used to improve mood. A researcher tests this therapy by exposing a sample of SAD patients to different intensities of light (low, medium, high) in a light box, either in the morning or at night (these are the times thought to be most effective for light therapy). All participants rated their mood following this therapy on a scale from 1 (poor mood) to 9 (improved mood). The hypothetical results are given in the following table.
| Light Intensity | ||||
|---|---|---|---|---|
| Low | Medium | High | ||
| Time
of Day |
Morning | 5 | 5 | 7 |
| 6 | 5 | 8 | ||
| 4 | 4 | 6 | ||
| 7 | 7 | 9 | ||
| 5 | 9 | 5 | ||
| 6 | 8 | 8 | ||
| Night | 5 | 6 | 9 | |
| 8 | 8 | 7 | ||
| 6 | 7 | 6 | ||
| 7 | 5 | 8 | ||
| 4 | 9 | 7 | ||
| 3 | 8 | 6 | ||
(a) Complete the F-table and make a decision to retain or reject the null hypothesis for each hypothesis test. (Round your answers to two decimal places. Assume experiment wise alpha equal to 0.05.)
|
Source of Variation |
SS | df | MS | F |
|---|---|---|---|---|
| Time of day | ||||
| Intensity | ||||
| Time
of day × Intensity |
||||
| Error | ||||
| Total |
State the decision for the main effect of the time of day.
A. Retain the null hypothesis.
B. Reject the null hypothesis.
State the decision for the main effect of intensity.
A. Retain the null hypothesis.
B. Reject the null hypothesis.
State the decision for the interaction effect.
A. Retain the null hypothesis.
B. Reject the null hypothesis.
(b) Compute Tukey's HSD to analyze the significant main effect.
The critical value is for each pairwise comparison.
Summarize the results for this test using APA format:
In: Statistics and Probability
Assume you are the Design/Build Contractor for a CVS Pharmacy in
Logan, OH. The building is 11,945 square feet in size with
construction scheduled to commence on January 18, 2017. Use the
progress completion schedule from a similar CVS Pharmacy in Athens,
OH, to organize the overall schedule for the project by weekly
progress for a completion date (turn over to owner) on May 23,
2017.
1. Progress in one week: awnings, landscaping, permanent electrical
power, gas service
2. Progress in two weeks: compactor pad poured with concrete, drive
through poured with concrete, water line, dumpster pad
3. Progress in two weeks: drywall finishing, painting, electrical
rough-in, glass and glazing
4. Progress in two weeks: pharmacy window and pneumatic tube,
flooring, lights, ceiling tiles
5. Progress in three weeks: demolition, clear and grub site,
excavation and erosion control
6. Progress in two weeks: block cleaning, transformer set, base
coat of paving
7. Progress in two weeks: exterior wall block, irrigation, grading,
demo for turning lanes
8. Progress in one week: footers, column pads, curb layout, parking
lot layout, site grading
9. Progress in two weeks: interior framing, doors and hardware,
window frames, electrical rough-in, plumbing rough-in
10. Progress in two weeks: interior slab, block work, storm
sewer
11. Progress in one week: landscaping, exterior signage, parking
lot striping, site clean-up, project completion
12. Progress in one week: millwork, lights, electrical finish,
plumbing finish, HVAC finish
13. Progress in two weeks: sanitary pump station, service panels
set, sidewalks poured, stone base for pavement
14. Progress in two weeks: steel erection, exterior framing, HVAC
roof curbs, roofing, concrete curb, sanitary sewer, relocate
telephone lines, parking lot light conduit
In: Civil Engineering
A researcher is interested to learn if there is a relationship between the level of interaction a women in her 20s has with her mother and her life satisfaction ranking. Below is a list of women who fit into each of four level of interaction. Conduct a One-Way ANOVA on the data to determine if a relationship exists.
|
No Interaction |
Low Interaction |
Moderate Interaction |
High Interaction |
|
2 |
3 |
3 |
9 |
|
4 |
3 |
10 |
10 |
|
4 |
5 |
2 |
8 |
|
4 |
1 |
1 |
5 |
|
7 |
2 |
2 |
8 |
|
8 |
2 |
3 |
4 |
|
1 |
7 |
10 |
9 |
|
1 |
8 |
8 |
4 |
|
8 |
6 |
4 |
1 |
|
4 |
5 |
3 |
8 |
Is there a relationship between handedness and gender? A researcher collected the following data in hopes of discovering if handedness and gender are independent (Ambidextrous individuals were excluded from the study). Use the Chi-Square test for independence to explore this at a level of significance of 0.05.
|
|
Left-Handed |
Right-Handed |
|
Men |
13 |
22 |
|
Women |
27 |
18 |
A researcher is interested in studying the effect that the amount of fat in the diet and amount of exercise has on the mental acuity of middle-aged women. The researcher used three different treatment levels for the diet and two levels for the exercise. The results of the acuity test for the subjects in the different treatment levels are shown below.
|
|
Diet |
|
|
|
Exercise |
<30% fat |
30% - 60% fat |
>60% fat |
|
<60 minutes |
4 |
3 |
2 |
|
|
4 |
1 |
2 |
|
|
2 |
2 |
2 |
|
|
4 |
2 |
2 |
|
|
3 |
3 |
1 |
|
60 minutes |
6 |
8 |
5 |
|
or more |
5 |
8 |
7 |
|
|
4 |
7 |
5 |
|
|
4 |
8 |
5 |
|
|
5 |
6 |
6 |
In: Statistics and Probability
You are an associate of the American Coffee Producers Association and operate small coffee shops in southern Nevada. The coffee business is quite competitive and small companies must compete with coffee giants like Starbucks. Therefore, it is important that you understand your local market demographics. One demographic you wish to study is whether there are differences in coffee consumption levels among various age groups. Understanding any relationship between age and coffee consumption will help tailor effective promotional issues. You develop and administer a survey in your target market area. Two of the questions on the survey ask 1) the respondent's age range and 2) the respondent's level of daily coffee consumption. The results of the survey are shown in the table below. Perform the appropriate test at alpha = .05 to determine if the level of daily coffee consumption is related to customer age.
| Daily Consumption Level: | < 30 Years | 30 to < 40 Years | 40 < 50 Years | 50 and Older |
| Low (less than 2 cups) | 36 | 15 | 10 | 26 |
| Moderate (2 to 3 cups) | 32 | 30 | 24 | 24 |
| High (more than 3 cups) | 21 | 27 | 20 | 22 |
In: Statistics and Probability
Part I: Origins of Psychology
Within psychology, there are several perspectives used to describe, predict, and explain human behavior. The seven major perspectives in modern psychology are psychoanalytic, behaviorist, humanist, cognitive, neuroscientific/biopsychological, evolutionary, and sociocultural. Describe the perspectives, using two to three sentences each. Select one major figure associated with one of the perspectives and describe his or her work in two to three sentences. Type your response in the space below.
Part II: Research Methods
Describe research methods used in psychology by completing the following table. Then, select two of the research methods, and compare and contrast them. Your response must be at least 75 words.
|
Method |
Purpose |
Strengths |
Weaknesses |
Example |
|
Case Study |
||||
|
Naturalistic Observation |
||||
|
Suveys |
||||
|
Longitudinal |
Describe one ethical issue related to research. Why is informed consent necessary for ethical research?
Part III: The Brain
Studying the functions and elements of the brain is essential to understanding human behavior.
1. Why do psychologists study twins? Why do psychologists study children who have been adopted? What can be learned from these types of studies?
2. What are the functions of neurotransmitters and hormones? How do they influence the brain and behavior?
In: Psychology
A local police chief claims that 76% of all drug-related arrests are never prosecuted. A sample of 700 arrests shows that 72% of the arrests were not prosecuted. Using this information, one officer wants to test the claim that the number of arrests that are never prosecuted is different from what the chief stated. Is there enough evidence at the 0.01 level to support the officer's claim? Step 1 of 7 : State the null and alternative hypotheses. Step 2 of 7 : Find the value of the test statistic. Round your answer to two decimal places. Step 3 of 7 : Specify if the test is one-tailed or two-tailed. Step 4 of 7 : Determine the P-value of the test statistic. Round your answer to four decimal places. Step 5 of 7 : Identify the value of the level of significance. Step 6 of 7 : Make the decision to reject or fail to reject the null hypothesis. Step 7 of 7 State the conclusion of the hypothesis test.
In: Statistics and Probability
A local police chief claims that 76%76% of all drug-related arrests are never prosecuted. A sample of 700700 arrests shows that 72%72% of the arrests were not prosecuted. Using this information, one officer wants to test the claim that the number of arrests that are never prosecuted is different from what the chief stated. Is there enough evidence at the 0.010.01 level to support the officer's claim?
Step 1 of 7 : State the null and alternative hypotheses.
Step 2 of 7 : Find the value of the test statistic. Round your answer to two decimal places.
Step 3 of 7 : Specify if the test is one-tailed or two-tailed.
Step 4 of 7 : Determine the P-value of the test statistic. Round your answer to four decimal places.
Step 5 of 7 : Identify the value of the level of significance.
Step 6 of 7 : Make the decision to reject or fail to reject the null hypothesis.
Step 7 of 7 State the conclusion of the hypothesis test.
In: Statistics and Probability
construct an AOV table including expected mean squares in R studio
A study was designed to evaluate the effectiveness of new treatments to reduce the systolic blood pressure of patients determined to have high blood pressure. Three drugs were selected for evaluation. There are numerous nondrug treatments for reducing blood pressure including various combinations of a controlled diet, exercise programs, biofeedback and so on. the researchers randomly selected three non drug treatments for examination in the study. The age of the patient often may hinder the effectiveness of any treatment. Thus, patients with high BP were divided into two age groups. A group of 54 patients was divided into the two age groups and then randomly assigned to a combination of one of the three drugs and one of the three non drug treatments. After patients had participated in the program for 2 months, the reduction so their systolic blood pressure readings were recorded.
This is nested, drug is fixed and non drug and age are random
| Reduction | Drug | Nondrug | Age |
| 33 | D1 | ND1 | A1 |
| 34 | D1 | ND1 | A1 |
| 35 | D1 | ND1 | A1 |
| 46 | D2 | ND1 | A1 |
| 45 | D2 | ND1 | A1 |
| 46 | D2 | ND1 | A1 |
| 38 | D3 | ND1 | A1 |
| 34 | D3 | ND1 | A1 |
| 37 | D3 | ND1 | A1 |
| 37 | D1 | ND2 | A1 |
| 38 | D1 | ND2 | A1 |
| 36 | D1 | ND2 | A1 |
| 44 | D2 | ND2 | A1 |
| 48 | D2 | ND2 | A1 |
| 49 | D2 | ND2 | A1 |
| 45 | D3 | ND2 | A1 |
| 45 | D3 | ND2 | A1 |
| 44 | D3 | ND2 | A1 |
| 41 | D1 | ND3 | A1 |
| 42 | D1 | ND3 | A1 |
| 39 | D1 | ND3 | A1 |
| 43 | D2 | ND3 | A1 |
| 44 | D2 | ND3 | A1 |
| 45 | D2 | ND3 | A1 |
| 36 | D3 | ND3 | A1 |
| 37 | D3 | ND3 | A1 |
| 35 | D3 | ND3 | A1 |
| 34 | D1 | ND1 | A2 |
| 33 | D1 | ND1 | A2 |
| 38 | D1 | ND1 | A2 |
| 47 | D2 | ND1 | A2 |
| 49 | D2 | ND1 | A2 |
| 45 | D2 | ND1 | A2 |
| 36 | D3 | ND1 | A2 |
| 39 | D3 | ND1 | A2 |
| 35 | D3 | ND1 | A2 |
| 48 | D1 | ND2 | A2 |
| 46 | D1 | ND2 | A2 |
| 45 | D1 | ND2 | A2 |
| 44 | D2 | ND2 | A2 |
| 48 | D2 | ND2 | A2 |
| 46 | D2 | ND2 | A2 |
| 46 | D3 | ND2 | A2 |
| 47 | D3 | ND2 | A2 |
| 44 | D3 | ND2 | A2 |
| 44 | D1 | ND3 | A2 |
| 46 | D1 | ND3 | A2 |
| 49 | D1 | ND3 | A2 |
| 44 | D2 | ND3 | A2 |
| 46 | D2 | ND3 | A2 |
| 41 | D2 | ND3 | A2 |
| 38 | D3 | ND3 | A2 |
| 36 | D3 | ND3 | A2 |
| 35 | D3 | ND3 | A2 |
In: Statistics and Probability