A six-lane freeway with three lanes in each direction has regular weekday users. The

lanes are 12 feet wide, the right-side shoulder is 2 ft wide, and there are two ramps

within 3 miles upstream and two ramps within 3 miles downstream of the segment

midpoint. The highway is on rolling terrain with 12% large trucks and buses and 2%

recreational vehicles. The peak hour factor is 0.85. Determine the maximum hourly

volumes that can be sustained at LOS C and LOS D densities.

Regarding the notion of organizational culture, structure and styles of management from the perspectives of Handy’s (1976) and Miles & Snow (1978). These authors provided their frameworks that are different from each other’s. What you have to do:

Take an organization with which you are familiar or imaginary organization and evaluate & relate or apply Handy’s and Miles & Snow’s typologies (scientific/logical classification/steps of organizational culture, structure and styles) that they provided in their approaches or framework.

Note: Your conversation must have to reflect your critical thinking and analytical skills.

all python

Question One [2 * 2.5]

1. Write a program that prompts the user for two integers and then prints

•The sum

•The difference

•The product

•The average

•The distance (absolute value of the difference)

•The maximum (the larger of the two)

•The minimum (the smaller of the two)

Hint: Python defines max and min functions that accept a sequence of values, each separated with a comma.

2. Write a program that prompts the user for a measurement in meters and then converts it to miles, feet, and inches.

3. Write a program that reads three numbers and prints “all the same” if they are all the same, “all different” if they are all different, and “neither” otherwise.

4. Write a program that translates a letter grade into a number grade. Letter grades are A, B, C, D, and F, possibly followed by + or –. Their numeric values are 4, 3, 2, 1, and 0. There is no F+ or F–. A + increases the numeric value by 0.3, a – decreases it by 0.3. However, an A+ has value 4.0.

Example:

Enter a letter grade: B-

The numeric value is 2.7.

5. Test and Correct and the following program:                 

Grade = 99

if Grade>= 90:

    print("A")

if Grade >=80 :

    print("B")

if Grade >=70 :

    print("C")

if Grade >=60:

    print("D")

else:

    print("Failed")

The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. PictureClick here for the Excel Data File Selling Price Age Miles 13,554 7 61,477 13,713 8 54,368 22,970 2 8,242 15,260 2 24,882 16,386 1 22,126 16,639 7 23,654 16,902 2 47,397 18,485 3 16,820 18,830 7 35,376 19,828 3 29,634 11,896 8 55,775 14,937 6 46,198 15,879 3 37,035 16,467 7 45,548 9,478 8 86,924 12,994 6 77,257 15,710 7 59,600 10,517 9 93,215 8,940 10 48,217 11,953 10 42,411 a. Determine the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. (Negative values should be indicated by a minus sign. Round your answer to 2 decimal places.) Priceˆ = + Age + Miles. b. Interpret the slope coefficient of Age. The slope coefficient of Age is −487.30, which suggests that for every additional year of age, the predicted price of car decreases by $487.30. The slope coefficient of Age is −0.08, which suggests that for every additional year of age, the predicted price of car decreases by $0.08. The slope coefficient of Age is −487.30, which suggests that for every additional year of age, the predicted price of car decreases by $487.30, holding number of miles constant. The slope coefficient of Age is −0.08, which suggests that for every additional year of age, the predicted price of car decreases by $0.08, holding number of miles constant. c. Predict the selling price of a eight-year-old sedan with 68,000 miles. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Priceˆ = $

What Influences the Sample Size? We examine the effect of different inputs on determining the sample size needed to obtain a specific margin of error when finding a confidence interval for a proportion. Find the sample size needed to give, with 95% confidence, a margin of error within plus-or-minus 2% when estimating a proportion. First, find the sample size needed if we have no prior knowledge about the population proportion p. Then find the sample size needed if we have reason to believe that p almost-equals 0.7. Finally, find the sample size needed if we assume p almost-equals 0.8. Round your answers up to the nearest integer.

Population proportion Sample Size

No knowledge:

0.7:

0.8:

Ben would like to invest in gold and is aware that the returns on such an investment can be quite volatile.

Use the following table of states, probabilities, and returns and calculate the coefficient of variation for the investment? (Round intermediate calculations and answer to 5 decimal places, e.g. 0.07680.)

On each bet, a gambler loses $2 with probability 0.2, loses $1 with probability 0.7, or wins $10 with probability 0.1.

After 100 of these bets, what is the approximate probability that the gambler's total is negative?

Show your work below.

The maintenance manager at a trucking company wants to build a regression model to forecast the time until the first engine overhaul based on four explanatory variables: (1) annual miles driven, (2) average load weight, (3) average driving speed, and (4) oil change interval. Based on driver logs and onboard computers, data have been obtained for a sample of 25 trucks.

a. Estimate the regression model to predict the time before the first engine overhaul for a truck driven 60,000 miles per year with an average load of 22 tons, an average driving speed of 57 mph, and 18,000 miles between oil changes. (Note that both annual miles driven and oil change interval are measured in 1,000s.)

b. Use the above prediction to calculate and interpret the 90% confidence interval for the mean time before the first engine overhaul.

c. Calculate and interpret the corresponding 90% prediction interval for the time before the first

Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force who call on existing customers and look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate, the vice president of sales selected a sample of 25 sales representatives and determined:

• The amount earned in commissions last month (y)
• The number of miles driven last month (x₁)
• The number of sales calls made last month (x₂)

The information is reported below.

  Click here for the Excel Data File

Develop a regression equation including an interaction term. (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.)

Complete the following table. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

Compute the value of the test statistic corresponding to the interaction term. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.)

At the 0.05 significance level is there a significant interaction between the number of sales calls and the miles driven?

This is (not statistically significant, statistically significant) so we conclude that there (is no interaction, is interaction)

Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force who call on existing customers and look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate, the vice president of sales selected a sample of 25 sales representatives and determined:

• The amount earned in commissions last month (y)
• The number of miles driven last month (x₁)
• The number of sales calls made last month (x₂)

Develop a regression equation including an interaction term. (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.)

Complete the following table. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

Compute the value of the test statistic corresponding to the interaction term. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.)

Value of the test statistic

At the 0.05 significance level is there a significant interaction between the number of sales calls and the miles driven?