Please help show me how to run this in excel for Statics Example: 1) =NORM.INV() 2)...
Please help show me how to run this in excel for Statics
| Example: |
| 1) =NORM.INV() |
| 2) =NORM.INV() |
| 3) =NORM.INV() |
| 4) =NORM.INV() |
| 5) =NORM.INV() |
| 6) =NORM.INV() |
| 7) =NORM.INV() |
| 8) =NORM.INV() |
| 9) =NORM.INV() |
|
10) =NORM.INV() |
This is the Statics Question:
| For questions 1-5, X1, X2, ... , X23 is a random sample from a distribution with mean μ = -1.02 and variance σ2 = 0.62. |
| For questions 5-10, X1, X2, ... , X28 is a random sample from a distribution with mean μ = -8.77 and variance σ2 = 1.28. |
| 1. Find μx, the mean of the sample average. |
| 2. Find σ2x, the variance of the sample average. |
| 3. Find P(X ≤ -1.14). |
| 4. Find P(X > -1.14). |
| 5. Find P(-1.08 < X ≤ -0.94). |
| 6. Find μx, the mean of the sample average. |
| 7. Find σ2x, the variance of the sample average. |
| 8. Find P(X ≤ -8.47). |
| 9. Find P(X > -8.47). |
| 10.Find P(-9.02 < X ≤ -8.64). |
Homework Answers
Add Answer to:
Please help show me how to run this in excel for Statics
Example:
1) =NORM.INV()
2)...
1. Let Xi l be a random sample from a normal distribution with mean μ 50 and variance σ2 16. Find...
1. Let Xi l be a random sample from a normal distribution with mean μ 50 and variance σ2 16. Find P (49 < Xs <51) and P (49< X <51) 2. Let Y = X1 + X2 + 15 be the sun! of a random sample of size 15 from the population whose + probability density function is given by 0 otherwise
1. Let Xi l be a random sample from a normal distribution with mean μ 50 and...
Let X1,X2, , Xn be a random sample from a normal distribution with a known mean μ (xi-A)2 and variance σ unknown. Let ơ-- Show that a (1-α) 100% confidence interval for σ2 is (nơ2/X2/2,n, nơ2A-a/2,n)...
Let X1,X2, , Xn be a random sample from a normal distribution with a known mean μ (xi-A)2 and variance σ unknown. Let ơ-- Show that a (1-α) 100% confidence interval for σ2 is (nơ2/X2/2,n, nơ2A-a/2,n).
Let X1,X2, , Xn be a random sample from a normal distribution with a known mean μ (xi-A)2 and variance σ unknown. Let ơ-- Show that a (1-α) 100% confidence interval for σ2 is (nơ2/X2/2,n, nơ2A-a/2,n).
1. (40) Suppose that X1, X2, Xn forms an independent and identically distributed sample from a normal distribution with mean μ and variance σ2, both unknown: 2nơ2 (a) Derive the sample variance, S2,...
1. (40) Suppose that X1, X2, Xn forms an independent and identically distributed sample from a normal distribution with mean μ and variance σ2, both unknown: 2nơ2 (a) Derive the sample variance, S2, for this random sample. (b) Derive the maximum likelihood estimator (MLE) of μ and σ2 denoted μ and σ2, respectively. (c) Find the MLE of μ3 (d) Derive the method of moment estimator of μ and σ2, denoted μΜΟΜΕ and σ2MOME, respectively (e) Show that μ and...
please answer the questions easily Suppose X1, X2, X3 is a random sample from a normal...
please answer the questions easily
Suppose X1, X2, X3 is a random sample from a normal population with mean μ and variance (a) I,'ind i.he variallex, of Y , x..:.: Xy/X.t as an ( tinai." r of μ (b) Find the variance of Z-A+x2+x3 as an estimator of μ. (c) Which estimator is more efficient (i.e. has the smallest variance)? Consider a random sample of size n from a normal population with known mean μ and unknown variance σ2. Let...
Problem 5 of 5Sum of random variables Let Mr(μ, σ2) denote the Gaussian (or normal) pdf with Inea...
Problem 5 of 5Sum of random variables Let Mr(μ, σ2) denote the Gaussian (or normal) pdf with Inean ,, and variance σ2, namely, fx (x) = exp ( 2-2 . Let X and Y be two i.i.d. random variables distributed as Gaussian with mean 0 and variance 1. Show that Z-XY is again a Gaussian random variable but with mean 0 and variance 2. Show your full proof with integrals. 2. From above, can you derive what will be the...
If a null hypothesis is rejected at a significance level of 1%, then we should say...
If a null hypothesis is rejected at a significance level of 1%,
then we should say that it was rejected at 1%. Reporting that the
null was also rejected at the 5% level of significance is
unnecessary and unwise.
True
False
The p-value equals alpha, the level of significance of the
hypothesis test.
True
False
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING
INFORMATION:
Let X1, X2,
X3, and X4 be a random
sample of observations from a population with...
Please solve these questions 1. Suppose that X1, X2, and Xs are random variables with common...
Please solve these questions
1. Suppose that X1, X2, and Xs are random variables with common mean μ and variance matrix Find E(X1 +2X1X2-4X2X3 + X ]. 2. If X1, X2,..., X, are independent random variables with common mean (n - 1)] is an μ and variances σ?, σ2, .. ., σ unbiased estimate of varf , prove that Σ,(X,-X)2/[n 3. Suppose that in Exercise 2 the variances are known. Let X,-Σ,wa, be an unbiased estimate of μ (i.e., Σί...
Could you please explain the step 1 and step 2 for me? I know the notes...
Could you please explain the step 1 and step 2 for me? I know
the notes want to show the formula for E(SSTR), but I don't know
what are these two steps doing.
1.2 Expectations of sums of squares Expectation of the sums of squares be derived from the following fact about sample variance. If X1, . . . , Xn are iid, with mean μ and variance σ2, then The sample variance is an unbiased estimator of the variance...
please help me! Thanks in advance :) 5. Let N be a Poisson random variable with...
please help me! Thanks in advance :)
5. Let N be a Poisson random variable with parameter λ Suppose ξ1S2, is a sequence of 1.1.d. random variables with mean μ and variance σ2, independent of N. Let SN-ξι 5N. Determi ne the me an and variance of Sw. 6. Let X, Y be independent random variables, each having Exponential(A) distribution. What is the conditional density function of X given that Z =
Please give detailed steps. Thank you. 5. Let {X1, X2,..., Xn) denote a random sample of...
Please give detailed steps. Thank you.
5. Let {X1, X2,..., Xn) denote a random sample of size N from a population d escribed by a random variable X. Let's denote the population mean of X by E(X) - u and its variance by Consider the following four estimators of the population mean μ : 3 (this is an example of an average using only part of the sample the last 3 observations) (this is an example of a weighted average)...
1. Let Xi l be a random sample from a normal distribution with mean μ 50 and variance σ2 16. Find P (49 < Xs <51) and P (49< X <51) 2. Let Y = X1 + X2 + 15 be the sun! of a random sample of size 15 from the population whose + probability density function is given by 0 otherwise
1. Let Xi l be a random sample from a normal distribution with mean μ 50 and...
Let X1,X2, , Xn be a random sample from a normal distribution with a known mean μ (xi-A)2 and variance σ unknown. Let ơ-- Show that a (1-α) 100% confidence interval for σ2 is (nơ2/X2/2,n, nơ2A-a/2,n).
Let X1,X2, , Xn be a random sample from a normal distribution with a known mean μ (xi-A)2 and variance σ unknown. Let ơ-- Show that a (1-α) 100% confidence interval for σ2 is (nơ2/X2/2,n, nơ2A-a/2,n).
1. (40) Suppose that X1, X2, Xn forms an independent and identically distributed sample from a normal distribution with mean μ and variance σ2, both unknown: 2nơ2 (a) Derive the sample variance, S2, for this random sample. (b) Derive the maximum likelihood estimator (MLE) of μ and σ2 denoted μ and σ2, respectively. (c) Find the MLE of μ3 (d) Derive the method of moment estimator of μ and σ2, denoted μΜΟΜΕ and σ2MOME, respectively (e) Show that μ and...
please answer the questions easily
Suppose X1, X2, X3 is a random sample from a normal population with mean μ and variance (a) I,'ind i.he variallex, of Y , x..:.: Xy/X.t as an ( tinai." r of μ (b) Find the variance of Z-A+x2+x3 as an estimator of μ. (c) Which estimator is more efficient (i.e. has the smallest variance)? Consider a random sample of size n from a normal population with known mean μ and unknown variance σ2. Let...
Problem 5 of 5Sum of random variables Let Mr(μ, σ2) denote the Gaussian (or normal) pdf with Inean ,, and variance σ2, namely, fx (x) = exp ( 2-2 . Let X and Y be two i.i.d. random variables distributed as Gaussian with mean 0 and variance 1. Show that Z-XY is again a Gaussian random variable but with mean 0 and variance 2. Show your full proof with integrals. 2. From above, can you derive what will be the...
If a null hypothesis is rejected at a significance level of 1%,
then we should say that it was rejected at 1%. Reporting that the
null was also rejected at the 5% level of significance is
unnecessary and unwise.
True
False
The p-value equals alpha, the level of significance of the
hypothesis test.
True
False
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING
INFORMATION:
Let X1, X2,
X3, and X4 be a random
sample of observations from a population with...
Please solve these questions
1. Suppose that X1, X2, and Xs are random variables with common mean μ and variance matrix Find E(X1 +2X1X2-4X2X3 + X ]. 2. If X1, X2,..., X, are independent random variables with common mean (n - 1)] is an μ and variances σ?, σ2, .. ., σ unbiased estimate of varf , prove that Σ,(X,-X)2/[n 3. Suppose that in Exercise 2 the variances are known. Let X,-Σ,wa, be an unbiased estimate of μ (i.e., Σί...
Could you please explain the step 1 and step 2 for me? I know
the notes want to show the formula for E(SSTR), but I don't know
what are these two steps doing.
1.2 Expectations of sums of squares Expectation of the sums of squares be derived from the following fact about sample variance. If X1, . . . , Xn are iid, with mean μ and variance σ2, then The sample variance is an unbiased estimator of the variance...
please help me! Thanks in advance :)
5. Let N be a Poisson random variable with parameter λ Suppose ξ1S2, is a sequence of 1.1.d. random variables with mean μ and variance σ2, independent of N. Let SN-ξι 5N. Determi ne the me an and variance of Sw. 6. Let X, Y be independent random variables, each having Exponential(A) distribution. What is the conditional density function of X given that Z =
Please give detailed steps. Thank you.
5. Let {X1, X2,..., Xn) denote a random sample of size N from a population d escribed by a random variable X. Let's denote the population mean of X by E(X) - u and its variance by Consider the following four estimators of the population mean μ : 3 (this is an example of an average using only part of the sample the last 3 observations) (this is an example of a weighted average)...
Most questions answered within 3 hours.
-
Derive ground state term symbols. Use notation 2S(1/2) for state
2S1/2
a) d5
b) f3
c)...
asked 3 minutes ago -
A sample of size 31 will be drawn from a population with mean 39
and standard...
asked 42 minutes ago -
What is the effect on the P-value when a test is changed from a
two-tailed hypothesis...
asked 47 minutes ago -
I wish to estimate µ, the mean of a population. After I collect
and an-
alyze...
asked 1 hour ago -
At a local university, you poll a group of 115 students and find
that 37 of...
asked 57 minutes ago -
Gladstone company tracks the number of units purchased and sold
throughout each accounting period but applies...
asked 1 hour ago -
When determining if a molecule's configuration is E or Z, what
determines the higher priority groups?
asked 1 hour ago -
13. What is the amount
of conversion cost transferred to finished goods? (Round
your intermediate calculations...
asked 1 hour ago -
Sulfuric Acid is a "strong" acid, but only releases a single
proton when it dissolves. What...
asked 1 hour ago -
The
second floor of a house is 6 m above the street level. How much
work...
asked 1 hour ago -
What uncontrollable factor(s) contributed to Hong Kong Disney’s
poor performance during its first year?
asked 1 hour ago -
You are interested in whether students that have a male
instructors perform differently on exams. To...
asked 1 hour ago