Mr. Franklin is a 60-year-old patient with a history of a thrombotic cerebrovascular accident two years ago. After the stroke he started with seizure attacks. He has been suffering from hypertension for the last ten years and ulcerative colitis since last year. He currently takes lisinopril, hydrochlorothiazide, aspirin, carbamazepine, and a low dose of prednisone.
Mr. Franklin has been suffering from epigastric pain, sensation of fullness, and occasional nausea for the last six months. This time, he was brought to the ER because, while he was talking to his son, he had a dizzy spell and fell to the floor. He is conscious and is complaining of severe epigastric pain. He began with mild abdominal pain two days after he started taking a new cycle of prednisone for his colitis, around seven days ago. The pain increases when he eats or drinks something. He is also complaining of suffering from pyrosis, malaise, and dizziness, and he has noticed that his feces are dark.
The patient was a heavy alcohol drinker until he had the stroke. He is a cigarette smoker since he was 20 years old. His mother suffered from Alzheimer's disease and died of colon cancer, and his father died of cirrhosis of the liver.
Respond to the following?
In: Nursing
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 lightly used to improve mood. A researcher tests this therapy by exposing a sample of patients with SAD to different intensities of light (low, medium, high) in a lightbox, 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 | 6 | 9 | ||
| 5 | 9 | 5 | ||
| 6 | 8 | 8 | ||
| Night | 5 | 6 | 9 | |
| 7 | 8 | 7 | ||
| 6 | 7 | 6 | ||
| 7 | 5 | 7 | ||
| 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 | 1 | |||
| Intensity | 2 | |||
| Time of day × Intensity |
2 | |||
| Error | 64.83 | 30 | 2.16 | |
| Total | 86.97 | 35 |
(b) Compute Tukey's HSD to analyze the significant main effect.
The critical value is ______ for each pairwise comparison.
(c) Summarize the results for this test using APA format.
In: Statistics and Probability
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 patients with SAD 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 | 6 | 8 | ||
| 4 | 4 | 6 | ||
| 7 | 7 | 9 | ||
| 5 | 9 | 5 | ||
| 6 | 7 | 8 | ||
| Night | 5 | 6 | 9 | |
| 8 | 8 | 7 | ||
| 6 | 6 | 6 | ||
| 7 | 5 | 8 | ||
| 4 | 9 | 7 | ||
| 3 | 7 | 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 experimentwise alpha equal to 0.05.)
|
Source of Variation |
SS | df | MS | F |
|---|---|---|---|---|
| Time of day | ||||
| Intensity | ||||
| Time
of day × Intensity |
||||
| Error | ||||
| Total |
(b) Compute Tukey's HSD to analyze the significant main effect.
The critical value is ____ for each pairwise comparison.
(c) Summarize the results for this test using APA format.
In: Statistics and Probability
Ghana in West Africa has the best climatic conditions to grow Cocoa. High Quality and well dried beans are exported to Belgium to produce one of the finest Chocolates. It is estimated 400 dried beans are required to make one pound (454 grams) of chocolate.
Horticulture studies have shown that Population mean yield is 40 beans with a standard deviation of 5 beans in a pod. Last year, with high Humidity and good amount of rainfall, Sampling 100 Cocoa plantations, sample mean yield of 50 beans in a pod. Use the alpha of 0.10, to test the hypothesis has the yield higher than the average? (One Sided Hypothesis)
a.) State the null and alternate hypothesis
b.) Use the Z statistical modeling to conclude the hypothesis at 0.01 significance level and from the p value.
In: Statistics and Probability
Flash Inc. was founded 5 years ago. It has been profitable for the last 2 years, but it has needed all of its earnings to support growth and thus has never paid a dividend. Management has indicated that it plans to pay a $1 dividend starting one year from today, then it will increase the dividend growth by 50% for the next two years, and then the company will achieve a long run growth rate of 6%. Assuming a required return of 11%, what is your estimate of the stock's intrinsic value today? a) Calculate the Flash Inc. non-constant dividends. b) Calculate the Flash Inc. horizon value. c) What is the firm's intrinsic value today, P̂ 0?
In: Finance
The head housekeeper at the Palisades Point Humane Habitat, a no-kill adoption organization for cats and dogs, wonders whether (a) the individual staff member or (b) the day of the week might impact the average number of the pets’ sleeping spaces or cages cleaned during one eight-hour shift. She asks an office assistant to run some statistical tests to explore these two questions, using the data in the following table. Based on the available evidence, and testing at the 10% level of significance, is there any difference between (a) the mean number of sleeping spaces or cages cleaned according to staff members and (b) the mean number of sleeping spaces or cages rooms cleaned according to days of the week? Explain, utilizing appropriate inferential analytic methods. [COMMENTS & HINTS: Use software to your advantage. Be sure to state explicitly the hypotheses (both null and research/alternative), the conclusions (technical and contextual), and the p-values both for staff and for days of the week.]
| S | M | T | W | T | F | S | |
| Ari | 34 | 32 | 43 | 33 | 37 | 44 | 33 |
| Betty | 46 | 38 | 35 | 42 | 39 | 41 | 37 |
| Carlos | 35 | 39 | 49 | 29 | 38 | 36 | 34 |
| Dante | 47 | 43 | 46 | 47 | 44 | 49 | 47 |
| Enid | 46 | 42 | 33 | 37 | 45 | 41 | 33 |
| Fatima | 44 | 44 | 46 | 39 | 41 | 44 | 37 |
In: Statistics and Probability
| Strike | Calls | Puts | |||||
| Close | Price | Expiration | Vol. | Last | Vol. | Last | |
| Hendreeks | |||||||
| 103 | 100 | Feb | 72 | 5.20 | 50 | 2.40 | |
| 103 | 100 | Mar | 41 | 8.40 | 29 | 4.90 | |
| 103 | 100 | Apr | 16 | 10.68 | 10 | 6.60 | |
| 103 | 100 | Jul | 8 | 14.30 | 2 | 10.10 | |
a. Suppose you write 50 of the Feb 100 put contracts. What is your net gain or loss if Hendreeks is selling for $98.00 at expiration? For $114?
$98 at expiration
$114 at expiration
In: Finance
As a hospital administrator of a large hospital, you are concerned with the absenteeism among nurses' aides. The issue has been raised by registered nurses, who feel they often have to perform work normally done by their aides. To get the facts, absenteeism data were gathered for the last three weeks, which is considered a representative period for future conditions. After taking random samples of 60 personnel files each day, the following data were produced
|
Day |
Aides Absent |
Day |
Aides Absent |
Day |
Aides Absent |
|
1 |
66 |
6 |
66 |
11 |
33 |
|
2 |
55 |
7 |
11 |
12 |
88 |
|
3 |
11 |
8 |
77 |
13 |
1212 |
|
4 |
33 |
9 |
22 |
14 |
44 |
|
5 |
77 |
10 |
88 |
15 |
44 |
Because your assessment of absenteeism is likely to come under careful scrutiny, you would like a type I error of only 1 percent. You want to be sure to identify any instances of unusual absences. If some are present, you will have to explore them on behalf of the registered nurses.
a. Design a p-chart. then find the
upper control limit
_________
and the lower control limit
_____
(Enter
your responses rounded to
three decimal
places.
If your answer for the lower control limit is negative, enter this value as
0.)
In: Operations Management
Suppose an automobile manufacturer designed a new engine and needs to find the best grade of gasoline for the best (highest) miles per gallon. The four grades are regular, economy, premium, and super premium. The test car made three trial runs on the test track using each of the four grades. The miles per gallon were recorded for each grade. Put these data into Minitab (STAT>ANOVA>OneWay>(Response data are in separate columns) ) and answer the following questions. Use Hmwk1Prob1Data Should the researcher print out a Tukey Comparison to see which grades have higher or lower gas mileage?
In: Statistics and Probability
Define and defend all variables, including the
dependent variable, in a single paragraph for each variable. Also,
state the expectations for each independent variable. These
paragraphs should be in numerical order, i.e., dependent variable,
X1, then X2, etc.
Dependent Variable: Players Annual Pay
Independent Variables: Batting average, Stolen bases, Home Runs,
and RBIs.
In each paragraph, the following should be
addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine
Y?
What sign is expected for the independent variable's coefficient,
positive or negative? Why?
In: Statistics and Probability