Create an C# application named ConvertMilesToKilometers whose Main() method prompts a user for a number of miles, passes the value to a method that converts the value to kilometers, and then returns the value to the Main() method where it is displayed.

I need an equation for finding the veocity of water at the end of an incline.

• the velocity at the top is 0
• the incline is a right triangle with a hieght of 3000ft and a base of 9 miles
• the fluid is water
• the depth of the water is 3ft

The wind chill factor depends on wind speed and air temp. This data represents the wind speed (in miles per hour) and wind chill factor at an air temp. of 15 degrees F. Wind speed(x) 5, 10, 15, 20, 25, 30, 35 Wind chill(y) 12, -3, -11, -17, -22, -25, -27 Compute the least squares regression line and correlation coefficient for this data. Predict the wind chill for a wind speed of 50 miles per hour. Determine the wind speed (to the nearest mile per hour) for a wind chill of -45 degrees F. State the percentage of explained variation for the data set. State the value for the sum of the squared residuals.

Suppose that you want to estimate the number of miles driven per year among all drivers living in Vermont and how the number of miles driven is related to a driver’s age. Suppose that you obtain a list of all drivers licensed by the State of Vermont, then take a simple random sample of 1000 drivers from the list and ask them to complete a survey regarding their driving habits during the last year and their age. A total of 620 people complete the survey.

1. Identify the population, sampling frame, sample, and sample size.
2. List two ways that sampling bias may have been introduced.
3. Would you consider this to be a cross-sectional study or a longitudinal study? Explain your reasoning.

Suppose that you want to estimate the number of miles driven per year among all drivers living in Vermont and how the number of miles driven is related to a driver’s age. Suppose that you obtain a list of all drivers licensed by the State of Vermont, then take a simple random sample of 1000 drivers from the list and ask them to complete a survey regarding their driving habits during the last year and their age. A total of 620 people complete the survey.

1. Identify the population, sampling frame, sample, and sample size.
2. List two ways that sampling bias may have been introduced.
3. Would you consider this to be a cross-sectional study or a longitudinal study? Explain your reasoning.

1. Consider the following set of data relating Distance from School and Time to get to school:

1. Construct a scatter plot for the given data.

2. Does the scatter plot show positive/negative/no correlation? Justify your answer.

3. Find the least-square regression line (Best fit line).

4. If a student lives 6.8 miles away from school, what is her predicted time to get to school?

1

e. Is there a linear correlation between the two variables? (Hint: find t-test statistic value)

The file Sedans contains the overall miles per gallon
(MPG) of 2013 midsized sedans:
38 26 30 26 25 27 22 27 39 24 24 26 25
23 25 26 31 26 37 22 29 25 33 21 21
Source: Data extracted from “Ratings,” Consumer Reports, April
2013, pp. 30–31.
a. Compute the mean, median, and mode.
b. Compute the variance, standard deviation, range, coefficient of
variation, and Z scores.
c. Are the data skewed? If so, how?
d. Compare the results of (a) through (c) to those of Problem 3.12
(a) through (c) that refer to the miles per gallon of small SUVs.

tire manufacturer claims that the life span of its tires is 60,000 miles. Assume the life spans of the tire are normally distributed. You selected 25 tires at random and tested them. The mean life span of the sample is 58,800 miles. The tires had a sample standard deviation, s = 600. Use the .10 level of significance.

1. 1. Which distribution would be indicated?
   2. Explain why you chose that distribution.
   3. Construct a confidence interval for the mean using the above data. Use the .10 level of significance.
   4. Re-compute the confidence interval if “n” is increased to 125 with the same mean and standard deviation.
   5. Re-compute the confidence interval if level of significance .01 with the same mean and standard deviation with the original n.

The Sunshine Skyway Bridge is 131 m high. A truck crossing the bridge loses a piece of cargo, launching it horizontally and perpendicularly off the bridge at 75 miles per hour. How far does the object travel horizontally before it hits the water?

102 m

118 m

137 m

155 m

173 m

The Sunshine Skyway Bridge is 131 m high. A truck crossing the bridge loses a piece of cargo, launching it horizontally and perpendicularly off the bridge at 75 miles per hour. How fast is it going when it hits the water?

79.3 m/s

33.5 m/s

50.7 m/s

57.4 m/s

60.7 m/s