How technology might enhance and hinder the teaching strategy in nursing: 1) .One -on -one session 2) 2.Small group discussions and support groups. 3) .Demonstration and return demonstration. 4) Games 5) .Programmed Instruction 6) Self-learning

22. find the area of the surface generated by revolving the parametric curve about the y-axis.

x = 2 sin t + 1 , y = 2 cos t + 5 , (0) less than or equal to (t) less than or equal to (pi/4)

An investor is considering the purchase of a 2 year bond with a 5.5% coupon rate, with interest paid annually. Assuming the following sequence of spot rate: 1 year , 4% and 2 year, 3% the yield to maturity of the bond is:
A. 3.5%
B. 3.03 %
C. 3.98%

FIRST PART: The Stata file ceosalary.dta contains data on the characteristics of 177 chief executive o?cers, which we will use to examine the e?ects of firm performance on CEO salary. The variables in the dataset include 1. salary (1990 compensation, $1000s), 2. age (in years), 3. college (=1 if attended college), 4. grad (=1 if attended graduate school), 5. comten (years with company), 6. ceoten (years as ceo with company), 7. sales (1990 firm sales, millions), 8. profits (1990 profits, millions), 9. mktval (market value, end 1990, millions). a. Load the dataset & inspect characteristics of it: What is the total count of observations in the dataset, how many variables there are in the dataset? b. Generate a summary table with sample means, standard deviations, and Minimum/maximum values for all the variables. c. How many dummy variables are in the data set? d. Are years the person stays with the company as ceo correlated with the salary? e. Is there any relationship between salary and years stayed with the company as ceo? Provide a two-way graph of the variables showing the relationship between the two. f. Run a single regression of salary over years the worker stays with the company as ceo. Is the result supporting your answer to the previous part? g. Do differences in years workers stayed with the company as CEO explain a lot of variation of their salaries? h. Imagine “age” is the variable missing in your single linear regression model above. Is this variable causing omitted variable bias? If yes, is it upward or downward bias? i. Include age in the regression and run a MLRM with age and years as ceo. Did the coefficient of the previous regression change substantially? j. Generate a dummy variable which takes value of 0 if worker is less than 50 years old and 1 otherwise. k. Run a regression of salary on the dummy you created and interpret the coefficient. l. Provide the scatter plot and the regression line for part k. m. Estimate a regression of salary on firm sales and market value. Interpret the e?ects of sales and market value on salaries of CEOs n. Add profits and ceoten to the model. Which firm characteristics are significant determinant of salaries? Interpret the e?ect of an additional year of CEO tenure on salaries. o. Did the coefficient or firm sales change dramatically from part G to part H by adding more regressors? Was the coefficient suffering from omitted variable bias? p. EXTRA CREDIT: Check for heteroscedasticity for the regression of salary and ceoten, what would be the issue if there exist heteroscedasticity? what do you suggest statistically to correct for it? salary age college grad comten ceoten sales profits mktval

QUESTION 1

The daily stream flow data for a particular catchment having an area of 6500 km² are given in the table below. Separate the baseflow using Straight line method, Fixed base method, and recession Separation method.

Calculate the total direct runoff for each method.

Table Q1

Count how many food boxes "Classic - 3 meals per week for 2 people" we sold via marketing channel "TV / Radio Advertising" (Solve with 1 formula and show the formula you used)

Please Tell me the steps on how this would be solved using Excel. Note that this is not the full excel data but just a small sample.

a survey was conducted on sky divers attitudes toward the practise example activities. They were asked to state the extent to which they found the example activities helpful for their learning in sky diving on a 7 point scale (1 = strongly disagree; 4 = neutral; 7 = strongly agree). Gender and Lecture Attendance in sky diving were also recorded. A random sample of 60 students was selected Rating_catwas created to re-group the simulation ratings into three categories: Disagree (1, 2 & 3), Neutral (4), Agree (5, 6 & 7).

Using the Pivot Tablein Excel cross tabulate Lecture Attendanceand Rating_cat.

What is the probability that a randomly selected respondent agrees the simulation activities were helpful for their learning?

a survey was conducted on sky divers attitudes toward the practise example activities. They were asked to state the extent to which they found the example activities helpful for their learning in sky diving on a 7 point scale (1 = strongly disagree; 4 = neutral; 7 = strongly agree). Gender and Lecture Attendance in sky diving were also recorded. A random sample of 60 students was selected Rating_catwas created to re-group the simulation ratings into three categories: Disagree (1, 2 & 3), Neutral (4), Agree (5, 6 & 7).

Using the Pivot Tablein Excel cross tabulate Lecture Attendanceand Rating_cat.

What is the probability that a randomly selected respondent agrees the simulation activities were helpful for their learning?

Q.N. 1:-

An AM index between 0 and 1 indicates what?

Q.N. 2:-

Given the following AM modulated signal, determine the original message, m(t):

s(t) = 2.5[1+0.5 cos(2π25kHzt)] cos(2π88MHzt)

Q.N. 3:-

Given the following AM modulated signal, determine the occupied frequency bandwidth(note: assume double-sideband large carrier (DSB-LC):

s(t) = 2.4[1+0.7 cos(2π33Hz*t)] cos(2π10GHz*t)

Q.N. 4:-

Given the following message and carrier equations, determine the AM modulated signal equation: m(t)=4cos(2π4kHz*t), c(t)=4cos(2π3GHz*t)