3-3 Assignment - Real Estate Analysis part 2

The following temperatures (in oF) were recorded inside the building of a remote pumping station: 99, 87, 93, 90, and 96. The variance of these readings is closest to: (a) 11.7 (b) 22.5 (c) 31.1 (d) 38.6

The dispersion of values about the sample average is represented by the: (a) Variance (b) Expected value (c) Probability distribution (d) Standard deviation

The historic average and standard deviation of the percentage moisture content MC of a product is E(MC) = 78.5% and sMC = 10.5%, respectively.The results of a sample of size 5 taken over the last 5 hours included the following 4 data points and the sample average: 81, 74, 83, 66, x̄ = 79 . If the guideline is to maintain the product’s moisture within 1 standard deviation of the historic average, the number of sample values outside these limits is:a. 3b. 2c. 1d. none

For the Given values ​​of 56, 67.9, 68, 53.8 and 69.8, Calculate a) Mean b) Algebraic Sum of deviation c) Variance d) Standard Deviation.

The value of the ideal standard deviation is (two decimal places, no zeroes anywhere)

In 2008, SAT math scores were normally distributed with a mean of 522 and a standard deviation of 102. What percentage of test takers scoree between 420 and 624 on the math portion? 0.3173 0.6587 0.3413 0.6827

A discrete variable Q, extra inventory units, has integer values from 1 to 10. When sampled 100 times, the following observed probability distribution was obtained: Q 1 2 3 6 9 10 P(Q) 0.2 0.2 0.2 0.1 0.2 0.1 (a) Determine the sample average and standard deviation by hand. (b) Determine the sample average and standard deviation by spreadsheet. (c) Determine the values 1 and 2 standard deviations from the mean. Of the 100 sample points, how many fall within these two ranges?

A magazine conducts an annual survey in which readers rate their favorite cruise ship. All ships are rated on a 100-point scale, with higher values indicating better service. A sample of 33 ships that carry fewer than 500 passengers resulted in an average rating of 85.59, and a sample of 44 ships that carry 500 or more passengers provided an average rating of 81.40. Assume that the population standard deviation is 4.55 for ships that carry fewer than 500 passengers and 3.97 for ships that carry 500 or more passengers. A) What is the point estimate of the difference between the population mean rating for ships that carry fewer than 500 passengers and the population mean rating for ships that carry 500 or more passengers? (Use smaller cruise ships − larger cruise ships.)   (b) At 95% confidence, what is the margin of error? (Round your answer to two decimal places.)   (c) What is a 95% confidence interval estimate of the difference between the population mean ratings for the two sizes of…

Consider the following events: Scientists reveal that eating oranges decreases the risk of diabetes, and at the same time, farmers use a new fertilizer that makes orange trees produce more oranges. Show the effect of these two events on the market for oranges.

The average and standard deviation of the amount of GST paid by all sole trader businesses in Australia in a twelve month period were $5.602 thousand and $1.637 thousand respectively. If a sample of 120 sole trader businesses was chosen, find the sample average value above which only 15% of sample averages would lie. Give your answer in dollars (to the nearest dollar).

The average amount of debt families have is 2.5 times their annual income with a standard deviation 0.75 times their annual income. How much debt does a family have to have (relative to their annual income) to be in the top 5% with the LOWEST debt load?

Students in the population of all students taking E270 were asked to state how much they spent on textbooks in the current semester. Jse the following textbook expense data (in dollars) to answer the following 5 questions. 475 550 540 350 330 510 335 530 370 455 525 545 515 435 335 485 540 645 435 405 340 470 455 345 650 375 520 275 465 330 555 460 455 380 520 620 580 335 565 420 510 465 540 545 350 410 440 530 505 455 655 520 360 405 325 525 545 350 450 435 265 385 540 465 460 560 495 530 385 685 470 375 545 555 520 490 440 495 570 370 340 435 360 590 550 430 425 390 490 430 665 610 655 410 560 390 365 595 550 385 440 395 395 505 545 430 575 530 415 265 420 470 350 525 325 620 325 525 505 335 490 560 240 425 460 435 280 510 485 510 665 335 430 375 555 445 460 490 360 420 470 425 410 680 295 415 230 475 430 395 370 380 375 490 410 330 610 430 305 590 605 315 485 400 480 375 500 445 310 455 355 575 310 370 265 415 345 575 395 385 650 540 435 380 380 495 460 370 400 550 575 385 555 535…

Question of the day: A machine is designed to produce insulating washers for electrical devices of average thickness of 0.025 cm. A random sample of 10 washers was found to have an average thickness of 0.024 cm with a standard deviation of 0.002 cm. Test the significance of the deviation. Value of t for 9 degrees of freedom at 5% level is 2.262?

A speciality software development firm is planning to offer one of four new software products and wishes to maximize profit, minimize risk, and increase market share. A weight of 55% is assigned to annual profit potential, 25% to profitability risk, and 20% to market share. Use the tabular additive method for this situation and identify the product that would be best for the firm to introduce. New Product Profit Potential (R) Profit Potential (R) Profit Risk (R) Market Share Sw 200K 35K High Sw 300K 45K Low Sw II 200K 55K Medium Sw IV 160K 34К Medium O A. SWIII O B. SWII O C. SWIV O D. SWI O O O

4 The fraction of z-scores that fall within z = ±1.60 is ________. a 0.8904         b 0.8729         c 0.8558         d 0.8390

Use the body temperatures, in degrees Fahrenheit, listed in the accompanying table. The range of the data is 3.3°F. Use the range rule of thumb to estimate the value of the standard deviation. Compare the result to the actual standard deviation of the data rounded to two decimal places, 0.69°F, assuming the goal is to approximate the standard deviation within 0.2°F. The estimated standard deviation is °F. (Round to two decimal places as needed.) Compare the result to the actual standard deviation. The estimated standard deviation is C the actual standard deviation. Thus, the estimated standard deviation Data table the goal. 99 98.2 97.5 98.4 99.2 98 98.7 98.5 98.1 98.1 98.5 99.3 98.7 96.7 96.5 98.7 98 97.3 98.4 98 97.7 98.3 98.9 97.1 99 97.1 98.7 98.6 99.4 97.6 97.6 97.7 97.9 99.4 98.7 99.6 97.8 97.9 99 98.3 97.7 98.7 98.2 98.7 97.6 98 97.7 98.6 98.5 98.3 97.7 99 96.3 98 98.2 96.8 97.3 97.3 97.5 98.5 97.6 97.7 97.2 97.7 98 98.8 99 98.5 98 97.8 97 97.3 99.1 98.7 98.6 98.3 98.4 99 98…

Find the standard deviation of a series of ACT scores listed below  16, 31, 19, 32,12 The standard deviation is?________________ (Type an integer or rounded to the nearest hundredth as needed)

Wharton Econometric Forecasting, LLC has been hired to analyze demand in 30 regional markets for Product Y, a major item. A statistical analysis of demand in these markets shows (standard errors in parentheses):                              QY = 26,950 − 450P + 220PX + 0.08A + 0.01I                                   (11,000)  (150)    (180)      (0.3)    (0.05)                                 R2 = 0.95    Standard Error of the Estimate = 10    Here, QY is market demand for Product Y, P is the price of Y in dollars, A is dollars of advertising expenditures, PX is the average price in dollars of another (unidentified) product, and I is dollars of household income. In a typical market, the price of Y is $100, PX is $70, advertising expenditures are $50,000, and average family income is $60,000.    Use the estimated demand function to calculate the expected value of QY in a typical market.  Calculate the 95% confidence interval within which you would expect to find actual values of sales.…

Wharton Econometric Forecasting, LLC has been hired to analyze demand in 30 regional markets for Product Y, a major item. A statistical analysis of demand in these markets shows (standard errors in parentheses):                            QY = 26,950 − 450P + 220PX + 0.08A + 0.01I                                   (11,000)  (150)    (180)      (0.3)    (0.05)                                R2 = 0.95  Standard Error of the Estimate = 10  Here, QY is market demand for Product Y, P is the price of Y in dollars, A is dollars of advertising expenditures, PX is the average price in dollars of another (unidentified) product, and I is dollars of household income. In a typical market, the price of Y is $100, PX is $70, advertising expenditures are $50,000, and the average family income is $60,000.  1. Which variables in this regression model are statistically significant at the 95 percent confidence level? Show your work.

The height (in inches) of a random sample of 28 players in NCAA Division 1 basketball teams is shown to the left.    x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78   8 Sum of deviations:  ∑(x − x̅) = _______ a -0.5       b 0       c 0.5       d 1

Question: The average hourly wage of a sample of 150 workers in a plant 'A' was Dollar 2.56 with a standard deviation of Dollar 1-08. The average hourly wage of a sample of 200 workers in plant 'B' was Dollar 2.87 with a standard deviation of Dollar 1.28. Can an applicant safely assume that the hourly wages paid by plant 'B' are higher than those paid by plant 'A'?

A company manufactures two types of typewriters–electrical (E) and manual(M). The revenue function of the company, in thousands is: R(E,M)= 8E+5M+2EM- E2-2M2+20. Determine the quantity of electrical and manual typewriters which lead to maximum revenue. Also calculate the maximum revenue.

The height (in inches) of a random sample of players in NCAA Division 1 basketball teams is shown to the left.    x 75 80 75 87 77 77 67 83 77 80 73 82 73 71 80 76 72 78 68 74 74 72 76 86 77 77 78   9 Sum of squared deviations:  ∑(x − x̅)² = _______. a 555.83         b 573.02         c 590.74         d 609.01

The cost C(Q) of producing a quantity Q of widgets to satisfy demand isC(Q) = 4000+20Q, but the quantity demanded is random. If the mean and standarddeviation of demand are 500 and 200, respectively, then what are the mean andstandard deviation of costs?

Estimate the average revenue A company sells two products whose demand functions are given by x1 = 500 – 2. 5p1 and x2 = 750 – 3p2 The total revenue is given by R = X1P1 + X2P2 Estimate the average revenue when price p, varies between $25 and $50 and price P2varies between $75 and $125.

The life of button batteries is normally distributed with a mean of 68.1 hours and a standard deviation of 18 hours 936 of the button batteries will last more than how many hours? (2 decimal places)

A company manufactures two types of typewriters-electrical (E) and manual (M). The revenue function of the company, in thousands is: R(E, M) = 8E + 5M + 2EM – E² – 2M² + 20. Determine the quantity of electrical and manual typewriters which lead to maximum revenue. Also calculate the maximum revenue.

When there are at least two values for a parameter and it is not possible to estimate the chance that each may occur, this situation is known as: (a) Uncertain (b) Risk (c) Deterministic (d) Cost estimating

Calculate standard deviation Marks: 0-10,10-20,20-30,30-40,40-50 Frequency :10,15,10,10,5

Dependent Variable: Pass Experience Male Malex Experience Constant Probit Logit (1) (2) 0.031 0.040 (0.009) (0.016) 0.712 (0.126) Linear Probability (3) 0.006 (0.002) 1.059 0.774 (0.221) (0.034) Probit (4) -0.333 (0.161) 1.282 (0.124) Logit (5) -0.622 (0.303) 2.197 (0.242) Linear Probability (6) -0.071 (0.034) 0.900 (0.022) Probit (7) 0.041 (0.156) -0.074 (0.259) -0.015 (0.019) 0.806 (0.200) Problem 1. (~SW 11.2) Using the results of column (2): (a) Does the probability of passing the test depend on Experience? Explain. (b) Matthew has 10 years of driving experience. What is the probability that he will pass the test? (c) Christopher is a new driver (zero years of experience). What is the probability that he will pass the test? (d) Sketch the predicted probabilities from the probit and logit regressions in column (1) and (2) for values of Experience between 0 and 60. Are the probit and logit models similar?