Question

In: Statistics and Probability

11. Suppose we have a box model representing a die: [1,2,3,4,5,6] with a mean of μ=3.5...

11.

Suppose we have a box model representing a die: [1,2,3,4,5,6] with a mean of μ=3.5 and a standard deviation of σ=1.708. If we do 88 rolls of the die what is the probability that the sum will be less than 300?

Question 11 options:

A)

0.3085

B)

-0.50

C)

0

D)

0.6915

E)

0.50

3.

Suppose we have the following box representing our population [0, 1, 1, 2, 3, 5] with μ=2.0 and σ=1.79. If we sample or draw from this population 35 times, what is the probability that the sum exceeds 85 is ______.

Question 3 options:

A)

92.22%

B)

14.26%

C)

15.58%

D)

7.78%

E)

29.54%

Solutions

Expert Solution

die: [1,2,3,4,5,6] with a mean of =3.5 and a standard deviation of =1.708

If we do 88 rolls of the die, then the sum will be a normal distribution with mean = 88 = 88 x 3.5 = 308

And standard deviation =

Probability that the sum will be less than 300 = P(Sum < 300)

Z-score for 300 = (300-308)/16.02 = -0.5

From standard normal tables, P(Z<-0.5) = 0.3085

Ans : A) 0.3085

Suppose we have the following box representing our population [0, 1, 1, 2, 3, 5] with =2.0 and =1.79

sample or draw from this population 35 times, the sum will be a normal distribution with mean: 35 = 35x2.0=70

and standard deviation =

Probability that the sum exceeds 85 = P(Sum>85) = 1-P(Sum85)

Z-score for 85 = (85-70)/10.59 = 1.42

From standard normal tables, P(Z1.42) = 0.9222

P(Sum85) = P(Z1.42) = 0.9222

P(Sum>85) = 1-P(Sum85) = 1-0.9222=0.0778

Probability that the sum exceeds 85 = 0.0778 =7.78%

Ans : D) 7.78%


Related Solutions

Suppose we have a box model representing a die: [1,2,3,4,5,6] with a mean of μ=3.5 and...
Suppose we have a box model representing a die: [1,2,3,4,5,6] with a mean of μ=3.5 and a standard deviation of σ=1.708. If we do 88 rolls of the die what will our expected value and standard error be for our sampling sum, respectively? Suppose we have the following box representing our population [0, 1, 1, 2, 3, 5] with μ=2.0 and σ=1.79. If we sample or draw from this population 35 times, what is the probability that the sum exceeds...
Suppose two fair sided die with sides labeled 1,2,3,4,5,6 are tossed independently. Let X = the...
Suppose two fair sided die with sides labeled 1,2,3,4,5,6 are tossed independently. Let X = the minimum of the value from each die. a. What is the probability mass function(pmf) of X? b. Find the mean E[X] and variance V (X). c. Write the cumulative distribution function (cdf) of X in a tabular form. d. Write F(x) the cdf of X as a step function and give a rough sketch for this function.
Suppose we want to estimate the mean salary μ of all college graduates. We take a...
Suppose we want to estimate the mean salary μ of all college graduates. We take a sample of 25 graduates and the sample average is $39,000 with a sample standard deviation of $10,000. We construct a 95% confidence interval for the true average salary. What is the upper bound of the confidence interval i.e. what is the upper confidence limit? $39,000 $43,128 $41,000 $42.422
Suppose that you are testing the hypotheses H0​: μ =11 vs. HA​: μ <11 A sample...
Suppose that you are testing the hypotheses H0​: μ =11 vs. HA​: μ <11 A sample of size 64 results in a sample mean of 11.5 and a sample standard deviation of 2.4 ​a) What is the standard error of the​ mean? ​b) What is the critical value of​ t* for a 99 % confidence​interval? ​c) Construct a 99​%confidence interval for μ. ​d) Based on the confidence​ interval, at a =0.005 can you reject H0​? Explain. 2)Before lending someone​ money,...
X ~ ( Mean, 2.15) ( Suppose we do not have information of Mean of the...
X ~ ( Mean, 2.15) ( Suppose we do not have information of Mean of the population) Question 1----------------------------------------------------------------------------- Use calculator go to math---> PRB-------> random sample 1. * Pick one (only-one) sample size of 5 (As we did in lab 2) ** calculate Mean of this sample and use the S.D. = 2.15/ sqrt(5) *** Calculate EBM **** Find C.I. for mean at 95% C.L. 2. Repeat the same process for n=10 and n = 20 3. Study what...
Suppose we have a die that has face values ranging from 2 to 12. This can...
Suppose we have a die that has face values ranging from 2 to 12. This can be represented as a uniform random variable. (a) Find the probability of rolling a 4. (b) Find the expected value of any roll. (c) Find the standard deviation of the roll.
Suppose x has a distribution with μ = 11 and σ = 6. (a) If a...
Suppose x has a distribution with μ = 11 and σ = 6. (a) If a random sample of size n = 39 is drawn, find μx, σ x and P(11 ≤ x ≤ 13). (Round σx to two decimal places and the probability to four decimal places.) μx = σ x = P(11 ≤ x ≤ 13) = (b) If a random sample of size n = 70 is drawn, find μx, σ x and P(11 ≤ x ≤...
Suppose x has a distribution with μ = 11 and σ = 10. (a) If a...
Suppose x has a distribution with μ = 11 and σ = 10. (a) If a random sample of size n = 36 is drawn, find μx, σx and P(11 ≤ x ≤ 13). (Round σx to two decimal places and the probability to four decimal places.) μx = σx = P(11 ≤ x ≤ 13) = (b) If a random sample of size n = 64 is drawn, find μx, σx and P(11 ≤ x ≤ 13). (Round σx...
Suppose x has a distribution with μ = 11 and σ = 3. (a) If a...
Suppose x has a distribution with μ = 11 and σ = 3. (a) If a random sample of size n = 39 is drawn, find μx, σx and P(11 ≤ x ≤ 13). (Round σx to two decimal places and the probability to four decimal places.) μx = σx = P(11 ≤ x ≤ 13) = (b) If a random sample of size n = 66 is drawn, find μx, σx and P(11 ≤ x ≤ 13). (Round σx...
Suppose we have a random sample of size 50 from a N(μ,σ2) PDF. We wish to...
Suppose we have a random sample of size 50 from a N(μ,σ2) PDF. We wish to test H0: μ=10 versus H1: μ=10. The sample moments are x ̄ = 13.4508 and s2 = 65.8016. (a) Find the critical region C and test the null hypothesis at the 5% level. What is your decision? (b) What is the p-value for your decision? (c) What is a 95% confidence interval for μ?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT