Question 1: If R squared=0.64 for the linear regression equation Y= 3.2X+ 2.8 + error , Where Y (or response variable) = stopping distance and X (or explanatory variable)= Velocity which of the following are true?

1. a.) That 64 % of the variation in Stopping distance is explained by velocity and the correlation coefficient R= -0.8
2. b.) That 64 % of the variation in Stopping distance is explained by velocity and the correlation coefficient R= 0.8
3. c.) That velocity (X) will explain the stopping distance perfectly 64% of the time and the correlation coefficient is R= 0.7
4. d.) That velocity (X) will explain the stopping distance perfectly 64% of the time and the correlation coefficient is R= 0.7

Question 2: Which of the following is true about categorical and quantitative variables

1. a.) That pie charts and bar charts provide a good description of quantitative variables but not categorical variables
2. b.) That histograms and stem and leaf plots provide a good description of quantitative variables but not categorical variables
3. c.) Both a and b

Question 3: Which of the following is true about skewed distributions?

1. a.) That the closer the mean is to the median the more skewed the data is.
2. b.) That the mean and median is the same whether the distribution is skewed or normal.
3. c.) That you can’t rely on just on whether the mean= median to see if you have zero skewness, you have to see if your histograms and stem and leaf plot are symmetrical or normally distributed as well to assess if your data is truly normal.
4. d.) The closer the mean is to the median the more normal the data is
5. e.) Both c and d.
6. f.) All of the above

Question 4: Use your normal probability chart to find the probability of the below:

1. a.) P( Z < -1.21) b.) P( Z > - 1.21)    c.) P(Z < 2.13)      d) P( Z > 2.13)

Case study:

Miranda Miles is a 35-year-old white female. She has a 10-year history of cigarette smoking and refuses to quit after several educational teachings from health care providers and family members. There is no history of alcohol consumption. She has been married for five years and lives with her husband and son. Miranda works at a factory and her husband is a truck driver. She was admitted on August 7th, 2020 at 1700 with complaints of joint and back pain, difficulty performing ADL’s especially in the mornings, difficulty falling asleep due to chest pain, and a fever. Upon admission, the patient’s vitals were taken and blood was drawn. Diagnostic and laboratory testing resulted in a medical diagnosis of rheumatoid arthritis exacerbation.

Lab/Diagnostic Testing

Upon admission, the patient's joints were inspected and palpated to find any swelling. Findings in this patient’s case, spongy swelling has been found in knees and ankles and deformities in both hands and feet. Also, a complete blood count (CBC) was taken and white blood cells were found to be mildly elevated in response to inflammation. A synovial fluid culture will be taken as well. The synovial fluid was cloudy with elevated white blood cells. A rheumatoid factor test was also taken and results were positive. An MRI on her knee was ordered and findings include erosion of bone and destruction of cartilage which results in the patient's problem with limited range of motion and pain in knee.

Medication:

QUESTION: Come up with a......

-psychosocial Nursing diagnosis,

-Short term goal,

-Long term goal

-5 nursing interventions,

-5 Evaluated statement

-Patient education teaching

please add references.

(b) To compare the effectiveness of three types of weight-reducing diets, a homogeneous group of 22 women was divided into three sub-groups and each sub-group followed one of these diet plans for a period of two months. The weight reductions, in kgs, were noted as given below:

Use the Kruskal-Wallis test to test the hypothesis that the effectiveness of the three weight reducing diet plans is same at 1% level of significance.

Donald and Hillary each have 10 hours of labor (L) that can be used to produce candy (C) and soup (S). Donald’s utility function is given by: Ud = C^0.3 S^0.7 and Hillary’s is: UH = C^0.5S^0.5. Neither have preferences over production. Production of each good is determined by: C = 2Lc and S = 3Ls.

(a) What must be the price ratio pc/ps be?

(b) Set the wage equal to $1. Given the above price ratio, how much C and S will Donald and Hillary demand?

(c) How should labor be allocated between the two goods to meet the demand calculated in part b)?

Suppose that the index model for two Canadian stocks HD and ML is estimated with the following results:

R_HD =0.02+0.80R_M+e_HD

R-squared =0.6

                  R_ML =-0.03+1.50R_M+e_ML

R-squared =0.4

σ_M =0.20

where M is S&P/TSX Comp Index and R_X is the excess return of stock X.

1. What is the standard deviation of each stock? (Hint: b_i = (ρ_iM σ_i) / σ_M.)
2. What is the systematic risk of each stock?
3. What are the covariance and correlation coefficient between HD and ML?
4. For portfolio P with investment proportion of 0.3 in HD and 0.7 in ML, calculate the systematic risk, non-systematic risk and total risk of P.

Consider the following stock information about Tencent and HSBC

a. What’re the expected return on each stock?
b. What’re the standard deviation on each stock?
c. The risk free rate is 1.5%. Based on the CAPM, If Tencent’s market beta is 1.5, what’s the beta of HSBC?
d. If you invested 65 percent in Tencent and 35 percent in HSBC, what is your portfolio expected return? The standard deviation?
e. Given the portfolio information in (d) and beta information in (c), what is the portfolio’s market beta?

A retaining wall against a mud slide is to be constructed by placing 1.2 m-high rectangular concrete blocks (ρconcrete = 2700 kg/m3 ) side by side, as shown in Figure 1. The friction coefficient between the ground and the concrete blocks is f = 0.3, and the density of the mud is about 1800 kg/m3 . There is concern that the concrete blocks may slide or tip over the lower left edge as the mud level rises.

a) Determine the minimum width w of the concrete blocks at which the blocks will overcome friction and start sliding. Plot the results over the mud height ranging from zero to the top of the retaining wall in 0.2 m-increments.

b) Determine the minimum width w of the concrete blocks at which the blocks will tip over. Plot the results over the mud height ranging from zero to the top of the retaining wall in 0.2 m-increments in the same graph as a).

c) Briefly comment on the results.

Your company has the sales for year 1 below. You want to select from one of three models for forecasting: a three-month moving average, a weighted moving average (you believe that the weights should be 0.2, 0.3, and 0.5), and an exponential smoothing average in which you use an alpha of 0.2 and an assumed forecast for January of year one of $35,000. Determine sales forecast for January year 2 and calculate MAD.


Jan Yr 1 34284
Feb 34000
Mar 31017
Apr 33406
May 34518
Jun 35469
Jul 35360
Aug 34894
Sep 34547
Oct 31015
Nov 31167
Dec 32925

A) Three-month moving average:
Sales forecast: $  
MAD:  

B) Weighted moving average:
Sales forecast: $  
MAD:  

C) Exponential moving average:
Sales forecast: $  
MAD:  

Which forecasting method should you use for your company? (enter A, B, C):

Some car tires can develop what is known as "heel and toe" wear if not rotated after a certain mileage. To assess this issue, a consumer group investigated the tire wear on two brands of tire, A and B, say. Fifteen cars were fitted with new brand A tires and thirteen with brand B tires, the cars assigned to brand at random. (Two cars initially assigned to brand B suffered serious tire faults other than heel and toe wear, and were excluded from the study.) The cars were driven in regular driving conditions, and the mileage at which heal and toe wear could be observed was recorded on each car. For the cars with brand A tires, the mean mileage observed was 24.9924.99 (in 103103 miles ) and the variance was 7.757.75 (in 106106 miles22). For the cars with brand B, the corresponding statistics were 32.9232.92 (in 103103 miles) and 6.476.47 (in 106106 miles22 ) respectively. The mileage before heal and toe wear is detectable is assumed to be Normally distributed for both brands.

Part a) Calculate the pooled variance s2s2 to 3 decimal places. During intermediate steps to arrive at the answer, make sure you keep as many decimal places as possible so that you can achieve the precision required in this question.  ×106×106 miles 22

Part b) Determine a 95% confidence interval for μA−μBμA−μB, the difference in the mean 103103 mileages before heal and toe wear for the two brands of tire. Leave your answer to 2 decimal places. (  ,)

Part c) Based on the 95% confidence interval constructed in the previous part, which of the following conclusions can be drawn when we test H0:μA=μBH0:μA=μB vs. Ha:μA≠μBHa:μA≠μB with α=0.05α=0.05.

A. Reject H0H0 since 0 is in the interval found in part (b).
B. Reject H0H0 since 0 is not within the interval found in part (b).
C. Do not reject H0H0 since −7.93−7.93 is within the interval found in part (b).
D. Do not reject H0H0 since 0 is not in the interval found in part (b).
E. Do not reject H0H0 since 0 is within the interval found in part (b).

Scott Butterfield is self-employed as a CPA. He uses the cash method of accounting, and his Social Security number is 644-47-7833. His principal business code is 541211. Scott's CPA practice is located at 678 Third Street, Riverside, CA 92860. Scott’s income statement for the year shows the following: Income Statement Scott Butterfield, CPA Income Statement 12/31/2017 Current Period Prior Period 1/1/2017 to 12/31/2017 1/1/2016 to 12/31/2016 REVENUES Tax Services $276,400 $72,154 Accounting Services 27,640 50,256 Other Consulting Services 60,808 7,690 TOTAL REVENUES 364,848 130,100 COST OF SERVICES Salaries 55,280 29,400 Payroll Taxes 2,387 2,275 Supplies 300 1,225 TOTAL COST OF SERVICES 57,967 32,900 GROSS PROFIT (LOSS) 306,881 97,200 OPERATING EXPENSES Advertising and Promotion 2,000 – Business Licenses and Permits 620 250 Charitable Contributions 400 250 Continuing Education 1,500 – Dues and Subscriptions 1,640 3,500 Insurance 16,584 870 Meals and Entertainment 12,438 5,400 Office Expense 5,528 – Postage and Delivery 85 – Printing and Reproduction 2,764 – Office Rent 8,292 13,800 Travel 11,056 750 Utilities 3,317 2,724 TOTAL OPERATING EXPENSES 66,224 27,544 NET INCOME (LOSS) $240,657 $69,656 Scott also mentioned the following: The expenses for dues and subscriptions were his country club membership dues for the year. The charitable contributions were made to a political action committee. Scott does not generate income from the sale of goods and therefore does not record supplies and wages as part of cost of goods sold. Scott placed a business auto in service on January 1, 2014 and drove it 7,234 miles for business, 4,340 miles for commuting, and 8,681 miles for nonbusiness purposes. His wife has a car for personal use. Complete Schedule C for Scott showing Scott's net income from self-employment. Assume Scott has evidence to support his deductions. If required, only use the minus sign to indicate a net loss. When required, round amounts to the nearest dollar.