Question
In: Math
The frequency distribution shows the average seasonal rainfall in California measured in inches Please complete the...
The frequency distribution shows the average seasonal rainfall in California measured in inches
Please complete the chart (frequency and cumulative relative frequency) CRF to two decimal points
Rainfall Frequency Cumulative Relative Frequency
0 -9.99 2
10 – 19.99 25
20 - 29.99 0.88
30 -30.99 0.98
40 – 40.99 1.00
Total 50
I would like a clear understanding of where the values come from to complete this chart. I have seen a couple of answers that do not clearly explain how the missing values are generated (Formulas).
Solutions
Expert Solution
Solution :
Rainfall Frequency Cumulative Relative Frequency
0 -9.99 2 2 / 50 = 0.04
10 – 19.99 25 0.04 + 25/50 = 0.04 + 0.50 = 0.54
20 - 29.99 17 17 / 50 = 0.34 + 0.54 = 0.88
30 -30.99 0.98 3 3 / 50 = 0.06 + 0.88 = 0.94
40 – 40.99 3 3 / 50 = 0.06 + 0.94 = 1.00
Total 50
milcah answered 2 months agoRelated Solutions
The frequency distribution below shows the distribution of average seasonal rainfall in San Francisco, as measured...
The frequency distribution below shows the distribution of
average seasonal rainfall in San Francisco, as measured in inches,
for the years 1967-2017. (Show all work. Not Just the
answer.)
Season Rainfall (in Inches)
Frequency
Cumulative Relative Frequency
0 - 9.99
1
10 - 19.99
22
20 - 29.99
0.84
30 - 30.99
0.98
40 - 40.99
1.00
Total
50
(a) Why is it appropriate to use a grouped frequency distribution
for this data?
(b) Complete the frequency table with frequency...
The data represents the daily rainfall (in inches) for one month. Construct a frequency distribution beginning...
The data represents the daily
rainfall (in inches) for one month. Construct a frequency
distribution beginning with a lower class limit of
0.000.00
and use a class width of
0.200.20.
Does the frequency distribution appear to be roughly a normal
distribution?
0.480.48
0
0
0
0.180.18
0
0.180.18
0
0.020.02
0.220.22
0.450.45
0
0
0.240.24
0
0.290.29
0
0.540.54
0
1.391.39
0
0
0.190.19
0
0.010.01
0
0.260.26
0
0.210.21
0
The state of California has a mean annual rainfall of 22 inches, whereas the state of New York has a mean annual rainfall of 42 inches.
The state of California has a mean annual rainfall of 22 inches, whereas the state of New York has a mean annual rainfall of 42 inches. Assume that the standard deviation for both states is 4 inches. A sample of 33 years of rainfall for California and a sample of 46 years of rainfall for New York has been taken. (a) Show the probability distribution of the sample mean annual rainfall for California. A bell-shaped curve is above a horizontal...
The state of California has a mean annual rainfall of 22 inches, whereas the state of New York has a mean annual rainfall of 42 inches.
The state of California has a mean annual rainfall of 22 inches, whereas the state of New York has a mean annual rainfall of 42 inches. Assume that the standard deviation for both states is 4 inches. A sample of 34 years of rainfall for California and a sample of 46 years of rainfall for New York has been taken.
(a)
Show the probability distribution of the sample mean annual rainfall for California.
A bell-shaped curve is above a...
The state of California has a mean annual rainfall of 23 inches, whereas the state of...
The state of California has a mean annual rainfall of 23 inches,
whereas the state of New York has a mean annual rainfall of 53
inches ( Current Results website, October 27,2012). Assume that the
standard deviation for both states is 2 inches. A sample of 30
years of rainfall for California and a sample of 45 years of
rainfall for New York has been taken.
a. Show the probability distribution of the sample mean annual
rainfall for California.
b....
The state of California has a mean annual rainfall of 27.6 inches, whereas the state of...
The state of California has a mean annual rainfall of 27.6
inches, whereas the state of New York has a mean annual rainfall of
44.5 inches. Assume the standard deviation for California is 6.3
inches and for New York is 8.2 inches. Find the probability that,
for a sample of 40 years of rainfall for California, the mean
annual rainfall is at least 29 inches.
The state of California has a mean annual rainfall of 27.6 inches, whereas the state of...
The state of California has a mean annual rainfall of 27.6
inches, whereas the state of New York has a mean annual rainfall of
48.7 inches. Assume the standard deviation for California is 7.4
inches and for New York is 3.1 inches. Find the probability that,
for a sample of 45 years of rainfall for California, the mean
annual rainfall is at least 29 inches.
The average annual rainfall in a particular city is 37.4 inches. In a random sample of...
The average annual rainfall in a particular city is 37.4 inches.
In a random sample of the last 38 years, it was revealed that the
average annual rainfall was 38.2 inches. The population standard
deviation of the average annual rainfall in the particular city is
4.7 inches. At the 0.04 level of significance, can it be concluded
that the average annual rainfall in the particular city is greater
than 37.4 inches? Show your work to receive credit.
The average annual rainfall in City A is 20 inches, with a standard deviation of 3...
The average annual rainfall in City A is 20 inches, with a
standard deviation of 3 inches. The annual rainfall in City B is 45
inches, with a standard deviation of 12 inches. In a given year,
City A received 25 inches, while City B received 55 inches.
Assuming both rainfall distributions are approximately normal,
which city had the wettest year relative
to its average distribution?
a.City A
b.City B
c.The cities had equally wet years
d.Cannot tell from the...
The daily rainfall in Japan (measured in millimeters) is modelled using a gamma distribution with parameters...
The daily rainfall in Japan (measured in millimeters) is
modelled using a gamma distribution with parameters α = 0.8 and β =
0.4.
Consider the overall rainfall in 365 days, and use mgfs and
their properties to prove that this is Ga (292, 0.4).
Use the central limit theorem to approximate the probability
that the annual rainfall exceeds 800mm (write down the analytical
formula and the code used to calculate the cdf value).
Compare the approximate value obtained with the...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- Please no plagiarism. Must be in your own words. Do you feel that countries and companies...
- How is Jesus discussed in Qua'an and what is his role in the Islamic faith?
- When people are asked what values they most look for and admire ina leader, these four...
- Do you think the scientific management can be applied effectively in today’s business environment or systems?...
- The management team of Wickersham Brothers Inc. is preparing its annual financial statements. The statements are...
- Donald J. Trump’s speechwriters once told him to say something like “my tax cut plan would...
- How does Costco compare to Sam's Club Financially? Which is doing better?
ADVERTISEMENT