I'm a stock trader. I entered and exited the market 3 times this year.

1) entered on 12/31/20 at 86.5, exited on 1/27/20 at 92.72 for a gain of 7.1%.

2) entered on 2/5/20 at 105.82, exited on 2/20/20 at 114.66 for a gain of 8.4%

3) entered on 4/15/20 at 61.55, exited on 4/30/20 at 69.77 for again of 13.4%.

How do I figure my annual growth rate.

How do I calculate my annual return based on these trades

A software developer has measured the number of defects per 1,000 lines of code in software modules being developed by the company. Construct the appropriate chart(s) for these data using 3 sigma control limits. Is the process in control? Why or why not?

I need to prepare a standard calibration curve for gamma globulin. absorbances on Y and mg of standard protein per assy on X. used .125mg/ml gamma stock for tubes 2-6. (Water (ml), gamma (ml), Abosrbance)--> (.9, .1, .587) (.8, .2, .672) (.6, .4, .602) (.4, .6, .895) (.2, .8, .987) - I"m not getting a straight line. I know in class we did a 1:10 dilution. What is the math and how do you get the standard curve?

Question 7 options:

The J. Mehta Company’s production manager is planning a series of one-month production periods for stainless steel sinks. The forecasted demand for the next four months is as follows:

The Mehta firm can normally produce 100 stainless steel sinks in a month. This is done during regular production hours at a cost of $95 per sink. If demand in any one month cannot be satisfied by regular production, the production manager has three other choices:

(1) he can produce up to 35 more sinks per month in overtime but at a cost of $125 per sink;

(2) he can purchase a limited number of sinks from a friendly competitor for resale (the maximum number of outside purchases over the four-month period is 450 sinks, at a cost of $150 each);

(3) Or, he can fill the demand from his on-hand inventory (i.e. beginning inventory). The inventory carrying cost is $10 per sink per month (i.e. the cost of holding a sink in inventory at the end of the month is $10 per sink). There are 10 Sinks in Inventory at the beginning of Month 1.

Setup the Production Smoothing problem with the goal of minimizing cost.

Regular Production Month 1 =

Regular Production Month 2 = 100
Regular Production Month 3 = 100
Regular Production Month 4 = 100


Overtime Production Month 1 =

Overtime Production Month 2 =

Overtime Production Month 3 =

Overtime Production Month 4 =

Purchases Month 1 = 0
Purchases Month 2 = 0
Purchases Month 3 =

Purchases Month 4 =

Ending Inventory Month 1 =

Ending Inventory Month 2 =

Ending Inventory Month 3 = 0
Ending Inventory Month 4 = 0


Minimum Cost =

An experimental surgical procedure is being studied as an alternative to the old method. Both methods are considered safe. Five surgeons perform the operation on two patients matched by age, sex, and other relevant factors, with the results shown. The time to complete the surgery (in minutes) is recorded.

%media:2excel.png%Click here for the Excel Data File

(a-1) Calculate the difference between the new and the old ways for the data given below. Use α = 0.025. (Negative values should be indicated by a minus sign.)

(a-2) Calculate the mean and standard deviation for the difference. (Round your mean answer to 1 decimal place and standard deviation answer to 4 decimal places.)

(a-3) Choose the right option for H₀:μ_d ≤ 0; H₁:μ_d> 0.

• Reject if t_calc > 2.776445105

• Reject if t_calc < 2.776445105

(a-4) Calculate the value of t_calc. (Round your answer to 4 decimal places.)

t_calc            

(b-1) Is the decision close? (Round your answer to 4 decimal places.)

The decision is   (Click to select)   close   not close  .

The p-value is  .

(b-2) The new way is better than the old.

• No

• Yes

(b-3) The difference is significant.

• Yes

• No

Use the 95% level of confidence. - Given the following sample information, test the hypothesis that the treatment means are equal at the 0.05 significance level. Treatment 1 - 8, 11 and 10. Treatment 2 - 3, 2, 1, 3, and 2. Treatment 3 - 3, 4, 5 and 4. a) What is the decision rule? (Round your answer to 2 decimal places.) - Reject Ho if F > b) Compute SST, SSE, and SS total. (Round your answers to 2 decimal places.) SST- SSE- SS total - c) Complete an ANOVA table. (Round your answers to 2 decimal places.) Source SS df MS F Treatments Error Total

For a population of five individuals, bike ownership is as follows:
(A) = 2; (B) = 1; (C) = 3; (D) = 4; (E) = 2
Determine the probability distribution for the discrete random variable, x = # bikes:
(1) Calculate the population mean.
(2) Calculate the population standard deviation.
(3) For a sample size n=2, determine the mean number of bikes for the two person pair.
(4) How many two person outcomes lead to a mean of 1.5 (note: for consistency, count (A,B) and (B,A) as two separate outcomes)?
(5) What is the P(x̅) = 1.5?
(6) What is the mean of this sampling distribution (n=2)?
(7) What is the standard deviation of this sampling distribution (n=2)?

South Shore Construction builds permanent docks and seawalls along the southern shore of long island, new york. Although the firm has been in business for only five years, revenue has increased from $308,000 in the first year of operation to $1,144,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars:

1. Use Excel Solver to find the coefficients of a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to two decimal places.
   
   F_t =  + Qtr1 + Qtr2 + Qtr3
   
2. Let Period = 1 to refer to the observation in Quarter 1 of year 1; Period = 2 to refer to the observation in Quarter 2 of year 1; . . . and Period = 20 to refer to the observation in Quarter 4 of year 5. Using the dummy variables defined in part (b) and Period, develop an equation to account for seasonal effects and any linear trend in the time series using Excel Solver. Round your answers to two decimal places. If your answer is negative value enter minus sign.
   
   F_t =  + Qtr1 + Qtr2 + Qtr3 + Period
   
   Based upon the seasonal effects in the data and linear trend, compute estimates of quarterly sales for year 6. Round your answers to one decimal place.
   
   Quarter 1 forecast =  
   
   Quarter 2 forecast =  
   
   Quarter 3 forecast =  
   
   Quarter 4 forecast =

South Shore Construction builds permanent docks and seawalls along the southern shore of long island, new york. Although the firm has been in business for only five years, revenue has increased from $320,000 in the first year of operation to $1,188,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars:

1. Use Excel Solver to find the coefficients of a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to two decimal places.
   
   F_t = ____________ + ____________Qtr1 + ___________Qtr2 +__________ Qtr3
   
2. Let Period = 1 to refer to the observation in Quarter 1 of year 1; Period = 2 to refer to the observation in Quarter 2 of year 1; . . . and Period = 20 to refer to the observation in Quarter 4 of year 5. Using the dummy variables defined in part (b) and Period, develop an equation to account for seasonal effects and any linear trend in the time series using Excel Solver. Round your answers to two decimal places. If your answer is negative value enter minus sign.
   
   F_t = ___________ + ___________Qtr1 + _____________Qtr2 + _____________Qtr3 + __________Period
   
   Based upon the seasonal effects in the data and linear trend, compute estimates of quarterly sales for year 6. Round your answers to one decimal place.
   
   Quarter 1 forecast =
   
   Quarter 2 forecast =
   
   Quarter 3 forecast =
   
   Quarter 4 forecast =

South Shore Construction builds permanent docks and seawalls along the southern shore of long island, new york. Although the firm has been in business for only five years, revenue has increased from $308,000 in the first year of operation to $1,084,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars:

Trend and Seasonal Pattern

1. Use Excel Solver to find the coefficients of a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to two decimal places.
   
   F_t =  + Qtr1 + Qtr2 + Qtr3
2. Let Period = 1 to refer to the observation in Quarter 1 of year 1; Period = 2 to refer to the observation in Quarter 2 of year 1; . . . and Period = 20 to refer to the observation in Quarter 4 of year 5. Using the dummy variables defined in part (b) and Period, develop an equation to account for seasonal effects and any linear trend in the time series using Excel Solver. Round your answers to two decimal places. If your answer is negative value enter minus sign.
   
   F_t =  + Qtr1 + Qtr2 + Qtr3 + Period
   
   Based upon the seasonal effects in the data and linear trend, compute estimates of quarterly sales for year 6. Round your answers to one decimal place.
   
   Quarter 1 forecast =
   
   Quarter 2 forecast =
   
   Quarter 3 forecast =
   
   Quarter 4 forecast =