Student Party Identification
|
Parent Party ID |
Democrat |
Independent |
Republican |
|
Democrat |
604 |
245 |
67 |
|
Independent |
130 |
235 |
76 |
|
Republican |
63 |
180 |
252 |
In: Math
A business school conducted a survey of companies in its state. They mailed a questionnaire to 200 small companies, 200 medium-sized companies and 200 large companies. The rate of nonresponse is important in deciding how reliable survey results are. Here are the data:
Small
Medium
Large
Response
125
81
40
No response
75
119
160
What is the overall rate of nonresponse? If response rate is not related to size of company, you would expect all companies, regardless of size, to have a similar response rate.
In: Math
Please create a c++ program that will ask a high school group that is made of 5 to 17 students to sell candies for a fund raiser. There are small boxes that sell for $7 and large ones that sell for $13. The cost for each box is $4 (small box) and $6 (large box). Please ask the instructor how many students ended up participating in the sales drive (must be between 5 and 17). The instructor must input each student’s First name that sold items and enter the number of each box sold each (small or large). Calculate the total profit for each student and at the end of the program, print how many students participated and the total boxes sold for each (small and large) and finally generate how much profit the group made. (15 points)
In: Computer Science
FCAT scores and poverty. In the state of Florida, elementary school performance is based on the average score obtained by students on a standardized exam, called the Florida Comprehensive Assessment Test (FCAT). An analysis of the link between FCAT scores and sociodemographic factors was published in the Journal of Educational and Behavioral Statistics (Spring 2004). Data on average math and reading FCAT scores of third graders, as well as the percentage of students below the poverty level, for a sample of 22 Florida elementary schools are summarized by the number given below. (x= percentage of students below poverty level, and y=math score ) n = 22 ??xi = 1292.7 ??yi = 3781.1 ??x2i =88668 ??yi2 =651612 ??xiyi =218292 (a) Propose a straight-line model relating math-score to percentage of students below poverty level. (b) Find the least-squares regression line fitting the model to the data. (c) Interpret the estimates for intercept and slope in the context of the problem. (d) Test whether the math score is negatively related to the percentage of students below the poverty level. (e) Construct a 99% confidence interval for the slope of the model, and interpret your result in the context of the problem.
In: Math
A student studying in medical school, according to the body
structure of a person with high fever, the body
will help calculate the time required to lower the temperature to a
certain degree
wants you to develop a formula.
Heat produced in the human body 400 W, total heat passing through
the body through transmission, convection and radiation
If 800 W and body specific heat 3500 kJ / kgK, other students may
also need other features.
By choosing according to your own body structure, the time to lower
the body temperature by 10 o C.
You calculate.
size=180cm
weight=93
In: Mechanical Engineering
Please create a C++ program that will ask a high school group that is made of 5 to 17 students to sell candies for a fund raiser. There are small boxes that sell for $7 and large ones that sell for $13. The cost for each box is $4 (small box) and $6 (large box). Please ask the instructor how many students ended up participating in the sales drive (must be between 5 and 17). The instructor must input each student’s First name that sold items and enter the number of each box sold each (small or large). Calculate the total profit for each student and at the end of the program, print how many students participated and the total boxes sold for each (small and large) and finally generate how much profit the group made. (15 points)
In: Computer Science
The supply curve of work requiring a high school degree or less is QS = - 13,000 + 2000P and the demand for such work is QD = 11,000 - 1000P. Assume this is a competitive market.
1. What quantity is hired if a minimum wage of $10 is imposed? What is the deadweight loss (DWL) of this policy?
2. Instead of a minimum wage, policymakers introduce a $1.5 wage subsidy (think EITC). What is the quantity of work supplied under this policy? What is the DWL of this policy?
3. What percentage of the subsidy is captured by the employers? (Hint: the buyer's burden is represented by
In: Economics
The supply curve of work requiring a high school degree or less is QS = - 13,000 + 2000P and the demand for such work is QD = 11,000 - 1000P. Assume this is a competitive market.
a) What is the market wage and quantity?
b) What quantity is hired if a minimum wage of $10 is imposed? What is the deadweight loss (DWL) of this policy?
c) Instead of a minimum wage, policymakers introduce a $1.5 wage subsidy (think EITC). What is the quantity of work supplied under this policy? What is the DWL of this policy?
d) What percentage of the subsidy is captured by the employers? (Hint: the buyer's burden is represented by ϵ S ϵ S − ϵ D)
In: Economics
The Business School at Eastern College is collecting data as a first step in the preparation of next year's budget. One cost that is being looked at closely is administrative staff as a function of student credit hours. Data on administrative costs and credit hours for the most recent 13 months follow.
| Month | Administrative Costs | Credit Hours | |||||
| July | $ | 129,301 | 250 | ||||
| August | 82,613 | 115 | |||||
| September | 228,580 | 1,392 | |||||
| October | 216,394 | 1,000 | |||||
| November | 258,263 | 1,309 | |||||
| December | 184,449 | 1,112 | |||||
| January | 219,137 | 1,339 | |||||
| February | 245,000 | 1,373 | |||||
| March | 209,642 | 1,064 | |||||
| April | 191,925 | 1,123 | |||||
| May | 249,978 | 1,360 | |||||
| June | 170,418 | 420 | |||||
| July | 128,167 | 315 | |||||
| Total | $ | 2,513,867 | 12,172 | ||||
| Average | $ | 193,374 | 936 | ||||
The controller's office has analyzed the data and given you the results from the regression analysis, as follows.
SUMMARY OUTPUT
| Regression Statistics | |
| Multiple R | 0.93339145 |
| R Square | 0.871219590 |
| Adjusted R Square | 0.859512280 |
| Standard Error | 19954.56760 |
| Observations | 13 |
ANOVA
| df | SS | MS | F | Significance F | |
| Regression | 1 | 29631603873.00 | 29631603873.00 | 74.4200000 | 0.0000032 |
| Residual | 11 | 4380032428 | 398184766 | ||
| Total | 12 | 34011636301.00 | |||
| Coefficients | Standard Error | T Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 96414.557 | 12528.42904 | 7.69566211 | 0.0000094 | 68839.6563 | 123989.4569 |
| Credit Hours | 103.5555179 | 12.0043317 | 8.62651257 | 0.0000032 | 77.1341487 | 129.9768871 |
Required:
a. In the standard regression equation y = a + bx, the letter b is best described as the:
Constant coefficient
Correlation coefficient
Dependent variable
Independent variable
Variable cost coefficient
b. In the standard regression equation y = a + bx, the letter y is best described as the:
Constant coefficient
Correlation coefficient
Dependent variable
Independent variable
Variable cost coefficient
c. In the standard regression equation y = a + bx, the letter x is best described as the:
Constant coefficient
Correlation coefficient
Dependent variable
Independent variable
Variable cost coefficient
d. If the controller uses the high-low method to estimate costs, the cost equation for administrative costs is: (Do not round your intermediate calculations.)
Cost = $69,468 + ($114 × Credit hours)
Cost = $67,313 + ($133 × Credit hours)
Cost = $193,374.00 × Credit hours
Cost = $207
Some other equation
e. Based on the results of the controller's regression analysis, the estimate of administrative costs in a month with 1,000 credit hours would be: (Round your intermediate calculations to 2 decimals.)
198,808
201,000
96,409
199,975
Some other amount
f. The correlation coefficient (rounded) for the regression equation for administrative costs is:
0.871
0.933
0.859
0.966
Some other amount
g. The percent of the total variance (rounded)
that can be explained by the regression is:
93.3
87.1
85.9
96.6
Some other amount
In: Finance
A playground is on the flat roof of a city school, 6.5 m above the street below (see figure). The vertical wall of the building is h = 7.80 m high, forming a 1.3-m-high railing around the playground. A ball has fallen to the street below, and a passerby returns it by launching it at an angle of θ = 53.0° above the horizontal at a point d = 24.0 m from the base of the building wall. The ball takes 2.20 s to reach a point vertically above the wall. (a) Find the speed at which the ball was launched. (Give your answer to two decimal places to reduce rounding errors in later parts.) m/s (b) Find the vertical distance by which the ball clears the wall. m (c) Find the horizontal distance from the wall to the point on the roof where the ball lands.
In: Physics