4) A set of measurements is given as follows. X = [0.1, 0.3, 0.8, 12,4, 7,9] We want to approximate the source of this data with Gamma distribution, i.e., X~Gamma(a, B). For Gamma distribution, the mean and variance can be found from the below equations. a Hx a o = Find the parameters of Gamma distribution to fit the data. Come up with two other distributions that you think are good representation of this data. Justify your answer.

4) A set of measurements is given as follows. X = [0.1, 0.3, 0.8, 12,4, 7,9] We want to approximate the source of this data with Gamma distribution, i.e., X~Gamma(a, B). For Gamma distribution, the mean and variance can be found from the below equations. a Hx a o = Find the parameters of Gamma distribution to fit the data. Come up with two other distributions that you think are good representation of this data. Justify your answer.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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For data that is not normally distributed we can't use z-scores. However, there is an equation that works on any distribution. It's called Chebyshev's formula. The formula is p = 1 - 7.2 where p is the minimum percentage of scores that fall within k standard deviations on both sides of the mean. Use this formula to answer the following questions. a) If you have scores and you don't know if they are normally distributed, find the minimum percentage of scores that fall within 2.1 standard deviations on both sides of the mean? b) If you have scores that are normally distributed, find the percentage of scores that fall within 2.1 standard deviations on both sides of the mean? c) If you have scores and you don't know if they are normally distributed, how many standard deviations on both sides of the mean do we need to go to have 96 percent of the scores? Note: To answer part c you will need to solve the equation for k.
Direction: Solve the given problems completely and correctly. 1. A population consists of the three numbers 1, 2, and 4. List all the possible samples of size n =2 whicE can be drawn with replacement from the population. Find the following: a Population mean b. Population variance C. Population standard deviation. d. Mean of the sampling distribution of sample means e. Variance of the sampling distribution of sample means f Standard deviation of the sampling distribution of sample means
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I need you guys help with the attached.
#23). Need help solving problem.
#20 only Choose the letter of the correct answer.
In the US, 46.2% of all people have type O blood, 39.1% have type A blood, 10.4% have type B blood and 4.3% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 3116 millionaires. What can be concluded at the a = 0.01 significance level? a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Blood Type Outcome Frequency Expected Frequency 1434 A 1224 В 310 AB 148 b. What is the correct statistical test to use? Select an answer V c. What are the null and alternative hypotheses? Но: O Blood type and income are independent. O The distribution of blood type for millionaires is not the same as it is for Americans in general. O The distribution of blood type for millionaires is the same as it is for Americans in general. O Blood type and income are dependent.
Hello, I need a little help trying to figure out how to get the Deviation from Mean and calculations. I would appreciate any assistance so that I can understand the lab.
ALPHA = 0.05 Shift 1 2 3 Machine A 10 7 9 B 10 7 6 C 8 8 6 D 12 7 10 E 8 7 7 F 9 6 10 G 9 9 11 H 9 6 9 Often frequency data are tabulated according to two categories to decide if there is a relationship between categories and counts. Machine shop high tech errors are tabulated by shift and machine with significance level a. Are the machines and shifts operating consistently? Perform appropriate test.
suppose the mean is 8 and 1/3 and the population variance is 6 and 8/9 and a>9 x 5 9 a frequency 3 f 2 a=? f=?
i was wondering if i could get help with questions a and b
Step 2 of 3: Compute the Value of the test statistic. Round your answer to three decimal places. Step 3 of 3: Draw a conclusion and interpret the decision