Speeding on the I-5. Suppose the distribution of passenger vehicle speeds traveling on the Interstate 5 Freeway (I-5) in California is nearly normal with a mean of 73 miles/hour and a standard deviation of 4.65 miles/hour. Round all answers to four decimal places. What proportion of passenger vehicles travel slower than 72 miles/hour? What proportion of passenger vehicles travel between 66 and 73 miles/hour? How fast do the fastest 6% of passenger vehicles travel? miles/hour Suppose the speed limit on this stretch of the I-5 is 70 miles/hour. Approximately what proportion of the passenger vehicles travel above the speed limit on this stretch of the I-5?
In: Math
A major hurricane has wind speeds of 111 miles per hour or greater. During the 20th century, the mean number of major hurricanes to strike the U.S. mainland per year was about 0.7. Find the probability that in a given year (a) exactly one major hurricane will strike the U.S. mainland, (b) at most one major hurricane will strike the U.S. mainland and (c) more than one major hurricane will strike the U.S. mainland (Source: National Hurricane Center)
In: Economics
Suppose that the average number of miles driven by a CSULA students is 15,000 and the standard error is 5000 miles. Find the interval of miles within which 99% of the drivers fall. Please show all your work
In: Statistics and Probability
The head of maintenance at XYZ Rent-A-Car believes that the mean number of miles between services is 4639 4639 miles, with a standard deviation of 437 437 miles. If he is correct, what is the probability that the mean of a sample of 32 32 cars would differ from the population mean by less than 181 181 miles? Round your answer to four decimal places.
In: Statistics and Probability
Continued from previous question.
|
Price |
SQFT |
Bed |
Bath |
LTSZ |
|
399900 |
5.026 |
4 |
4.5 |
0.3 |
|
375000 |
3.2 |
4 |
3 |
5 |
|
372000 |
3.22 |
5 |
3 |
5 |
|
370000 |
4.927 |
4 |
4 |
0.3 |
|
325000 |
3.904 |
3 |
3 |
1 |
|
325000 |
2.644 |
3 |
2.5 |
5 |
|
319500 |
5.318 |
3 |
2.5 |
2.5 |
|
312900 |
3.144 |
4 |
2.5 |
0.3 |
|
299900 |
2.8 |
4 |
3 |
5 |
|
294900 |
3.804 |
4 |
3.5 |
0.2 |
|
269000 |
3.312 |
5 |
3 |
1 |
|
250000 |
3.373 |
5 |
3.5 |
0.2 |
|
249900 |
3.46 |
2 |
2.5 |
0.6 |
|
244994 |
3.195 |
4 |
2.5 |
0.2 |
|
244900 |
2.914 |
3 |
3 |
0.3 |
|
239900 |
2.881 |
4 |
5 |
0.3 |
|
234900 |
1.772 |
3 |
2 |
3.6 |
|
234000 |
2.248 |
3 |
2.5 |
0.3 |
|
229900 |
3.12 |
5 |
2.5 |
0.2 |
|
219900 |
2.942 |
4 |
2.5 |
0.2 |
|
209900 |
3.332 |
4 |
2.5 |
0.2 |
|
209850 |
3.407 |
3 |
2.5 |
0.3 |
|
206900 |
2.092 |
3 |
2 |
0.3 |
|
200000 |
3.859 |
4 |
2 |
0.2 |
In: Statistics and Probability
Continued from previous question.
|
Price |
SQFT |
Bed |
Bath |
LTSZ |
|
399900 |
5.026 |
4 |
4.5 |
0.3 |
|
375000 |
3.2 |
4 |
3 |
5 |
|
372000 |
3.22 |
5 |
3 |
5 |
|
370000 |
4.927 |
4 |
4 |
0.3 |
|
325000 |
3.904 |
3 |
3 |
1 |
|
325000 |
2.644 |
3 |
2.5 |
5 |
|
319500 |
5.318 |
3 |
2.5 |
2.5 |
|
312900 |
3.144 |
4 |
2.5 |
0.3 |
|
299900 |
2.8 |
4 |
3 |
5 |
|
294900 |
3.804 |
4 |
3.5 |
0.2 |
|
269000 |
3.312 |
5 |
3 |
1 |
|
250000 |
3.373 |
5 |
3.5 |
0.2 |
|
249900 |
3.46 |
2 |
2.5 |
0.6 |
|
244994 |
3.195 |
4 |
2.5 |
0.2 |
|
244900 |
2.914 |
3 |
3 |
0.3 |
|
239900 |
2.881 |
4 |
5 |
0.3 |
|
234900 |
1.772 |
3 |
2 |
3.6 |
|
234000 |
2.248 |
3 |
2.5 |
0.3 |
|
229900 |
3.12 |
5 |
2.5 |
0.2 |
|
219900 |
2.942 |
4 |
2.5 |
0.2 |
|
209900 |
3.332 |
4 |
2.5 |
0.2 |
|
209850 |
3.407 |
3 |
2.5 |
0.3 |
|
206900 |
2.092 |
3 |
2 |
0.3 |
|
200000 |
3.859 |
4 |
2 |
0.2 |
In: Statistics and Probability
Suppose that in this particular economy, there are four assets. Assets 1, 2, and 3 are risky and the fourth asset is risk-free.
The correlations of returns are described in the following table:
|
Correlation |
Stock 1 |
Stock 2 |
Stock 3 |
|
Stock 1 |
1 |
0.6 |
0.7 |
|
Stock 2 |
0.6 |
1 |
0.2 |
|
Stock 3 |
0.7 |
0.2 |
1 |
And the standard deviation of the return of each stock is:
|
Stock 1 |
0.3 |
|
Stock 2 |
0.6 |
|
Stock 3 |
0.25 |
Finally, the number of shares and price of each stock is:
|
Price |
Number of Shares |
|
|
Stock 1 |
$10 |
100 |
|
Stock 2 |
$15 |
200 |
|
Stock 3 |
$10 |
200 |
In: Finance
The following data is based on information taken from Winter Wind Studies in Rocky Mountain National Park by D. E. Glidden (Rocky Mountain Nature Association). At five weather stations on Trail Ridge Road in Rocky Mountain National Park, the peak wind gusts (in miles per hour) for January and April are recorded below:
| Weather station | 1 | 2 | 3 | 4 | 5 |
| January | 139 | 122 | 126 | 64 | 78 |
| April | 104 | 112 | 100 | 88 | 61 |
Does this information indicate that peak wind gusts are higher in January than in April? Use a .03 significance level. Please use the four step process and round your answers to the nearest fourth decimal place.
In: Statistics and Probability
In: Statistics and Probability
Create an application that calculates mph or (Miles Per Hour). There should be 2 textboxes for input, and 2 labels to label the input textboxes. The first textbox should be the miles driven. And the other textbox should be hours taken.
There should be a button to calculate miles per hour. And a label or textbox for the results of the calculate.
1textbox for miles [input]
2textbox for hours (time used) [input]
3label for miles textbox
4label for hours textbox
button for calculate mph [to start program]
label or textbox to get results [output]
NEED CS FILE PLS
In: Computer Science