Question

In: Statistics and Probability

Calculate the expected mean and expected standard deviation of the sample distribution of four 100-sided dice...

Calculate the expected mean and expected standard deviation of the sample distribution of four 100-sided dice rolls.

Solutions

Expert Solution

We can relate the sample distribution of four 100-sided dice rolls to the event of rolling four 100-sided dice simultaneously and we assume the given dice are fair.

[ Here we want to use two famous formula for first n natural numbers.

#Sum of first n natural numbers= n*(n+1)/2

#Mean of first n natural numbers = (n+1)/2

#Variance of first n natural numbers = (n^2 - 1)/12 ]

We know that the expected value of rolling a '6-sided' die: (1+2+3+4+5+6)/6 = 3.5

The expected sum of rolling 4  '6-sided' dice: 4* (1+2+3+4+5+6)/6 = 14

Similarly, the expected value of rolling a '100-sided' die: (1+2+3+.......+100)/100 = 5050/100 = 50.5

The expected sum of rolling 4 '100-sided' dice: 4 * 50.5 = 202 (As the dice are fair)

The expected sum or Mean of the sample distribution of four 100-sided dice rolls: . (Ans.)

Now,

the expected variance of rolling a '100-sided' die: (100^2 -1)/12 = 833.25

The expected variance of rolling 4 '100-sided' dice: 4*833.25= 3333 (As the dice are fair)

The expected standard deviation of the sample distribution of four 100-sided dice rolls: (Ans.)

NOTE:

Please comment down below for any doubts/feedbacks.

&

Please give a big thumbs up(Upvote)!

Peace!


Related Solutions

How do you calculate the mean and standard deviation of the sampling distribution for sample means?...
How do you calculate the mean and standard deviation of the sampling distribution for sample means? [2 sentences] What is the effect of increasing sample size on the sampling distribution and what does this mean in terms of the central limit theorem? [2 sentences] Why is the standard deviation of the sampling distribution smaller than the standard deviation of the population from which it came? [3 sentences]
Distribution A has an expected value of $50 and a standard deviation of $100; distribution B...
Distribution A has an expected value of $50 and a standard deviation of $100; distribution B has an expected value of $75 and a standard deviation of $125. Ignoring preferences over risk, which is the better option? 1) A 2) B 3) They are the same 4) It is impossible to tell
If an IQ distribution is normal and has a mean of 100 and a standard deviation...
If an IQ distribution is normal and has a mean of 100 and a standard deviation of 15, then 99% of all those taking the test scored between IQ's of A. 0 and 150 B. 55 and 145 C. 92.5 and 107.5
2. If the mean of a distribution is 100 with a standard deviation of 10, what...
2. If the mean of a distribution is 100 with a standard deviation of 10, what raw score is associated with a z-score of +2.003. 3. Using the z-score formula, if you have a distribution with a mean of 50 and a standard deviation of 5, what z-score is associated with a raw score of X=43.5? 4. Using the z-score formula, if you have a distribution with a mean of 50 and a standard deviation of 5, what z-score is...
Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of...
Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being 0.50 and n = 10. Either show work or explain how your answer was calculated. Use these formulas to do the hand calculations: Mean = np, Standard Deviation =  Comparison: Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being 0.10 and n = 10. Write a comparison of these statistics to those...
Calculate the sample variance and sample standard deviation for the following frequency distribution of heights in...
Calculate the sample variance and sample standard deviation for the following frequency distribution of heights in centimeters for a sample of 8-year-old boys. If necessary, round to one more decimal place than the largest number of decimal places given in the data. Heights in Centimeters Class Frequency 120.6 - 123.6 26 123.7 - 126.7 22 126.8--129.8 34 129.9-132.9 26 133-136 44
A population distribution of score has a mean = 100 and a standard deviation of 10....
A population distribution of score has a mean = 100 and a standard deviation of 10. Researchers plan to take a sample size of N=25. Based on the central limit theorem, 68.26% of all possible means are between the sample means of ______ A) 90 and 100 B) 95 and 100 C) 98 and 102 D) 97 and 103
1)In a distribution of IQ scores, where the mean is 100 and the standard deviation is...
1)In a distribution of IQ scores, where the mean is 100 and the standard deviation is 15........ -Compute the z score for an IQ of 100 -Compute the z score for an IQ of 107 2)For all US women, assuming a normal distribution - Mean height is 64 inches ; Standard deviation is 2.4 inches -What percentage of US women are 60 inches or shorter? -What percentage of US women have a height between 64 and 67 inches?
The expected mean of a normal population is 100, and its standard deviation is 12. A...
The expected mean of a normal population is 100, and its standard deviation is 12. A sample of 49 measurements gives a sample mean of 96. Using the α = 0.01 level of significance a test is to be made to decide between “population mean is 100” or “population mean is different than 100.” a) State null H0. b) What conclusion can be drawn at the given level of significance α = 0.01. c) What conclusion can be drawn if...
. The expected mean of a normal population is 100, and its standard deviation is 12....
. The expected mean of a normal population is 100, and its standard deviation is 12. A sample of 49 measurements gives a sample mean of 96. Using the α = 0.01 level of significance a test is to be made to decide between “population mean is 100” or “population mean is different than 100.” a) State null H0. b) What conclusion can be drawn at the given level of significance α = 0.01. c) What conclusion can be drawn...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT