Question

In: Math

4. For random variable X with unknown variance let S_x^2=49,x ̄=8,n=25,"and" α=0.10. Conduct the following tests....

4. For random variable X with unknown variance let S_x^2=49,x ̄=8,n=25,"and" α=0.10. Conduct the following tests. Make sure you state the decision rule and the inference.

a) H_0:μ<7H_A:μ≥7

b) H_0:μ>10H_A:μ≤10

c) H_0:μ=3H_A:μ≠3

d) Give a 90% confidence interval around .

Solutions

Expert Solution

a)

Below are the null and alternative Hypothesis,
Null Hypothesis: μ = 7
Alternative Hypothesis: μ > 7

Rejection Region
This is right tailed test, for α = 0.1 and df = 24
Critical value of t is 1.318.
Hence reject H0 if t > 1.318

Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (8 - 7)/(9/sqrt(25))
t = 0.556

P-value Approach
P-value = 0.292
As P-value >= 0.1, fail to reject null hypothesis.


b)

Below are the null and alternative Hypothesis,
Null Hypothesis: μ = 10
Alternative Hypothesis: μ < 10

Rejection Region
This is left tailed test, for α = 0.1 and df = 24
Critical value of t is -1.318.
Hence reject H0 if t < -1.318

Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (8 - 10)/(9/sqrt(25))
t = -1.111

P-value Approach
P-value = 0.139
As P-value >= 0.1, fail to reject null hypothesis.


c)

Below are the null and alternative Hypothesis,
Null Hypothesis: μ = 3
Alternative Hypothesis: μ ≠ 3

Rejection Region
This is two tailed test, for α = 0.1 and df = 24
Critical value of t are -1.711 and 1.711.
Hence reject H0 if t < -1.711 or t > 1.711

Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (8 - 3)/(9/sqrt(25))
t = 2.778

P-value Approach
P-value = 0.01
As P-value < 0.1, reject the null hypothesis.


d)

sample mean, xbar = 8
sample standard deviation, s = 7
sample size, n = 25
degrees of freedom, df = n - 1 = 24

Given CI level is 90%, hence α = 1 - 0.9 = 0.1
α/2 = 0.1/2 = 0.05, tc = t(α/2, df) = 1.71


ME = tc * s/sqrt(n)
ME = 1.71 * 7/sqrt(25)
ME = 2.394

CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (8 - 1.71 * 7/sqrt(25) , 8 + 1.71 * 7/sqrt(25))
CI = (5.606 , 10.394)


Related Solutions

2. Let X be a normal random variance with media 1 and variance 4. Consider a...
2. Let X be a normal random variance with media 1 and variance 4. Consider a new variance A random variable T defined below: T = -1 if X < -2 T = 0 if - 2 ≤ X ≤ 0 T = 1 if x>0 Find the moment generating function of T and, from it, calculate E (T) and Var (T).
2. Let X be a normal random variance with media 1 and variance 4. Consider a...
2. Let X be a normal random variance with media 1 and variance 4. Consider a new variance A random variable T defined below: T = -1 if X < -2 T = 0 if - 2 ≤ X ≤ 0 T = 1 if x>0 Find the moment generating function of T and, from it, calculate E (T) and Var (T).
Suppose x is a binomial random variable with p = .4 and n = 25. c....
Suppose x is a binomial random variable with p = .4 and n = 25. c. Use the binomial probabilities table or statistical software to find the exact value of P(x>=9). Answ:.726 back of book d. Use the normal approximation to find P(x>=9). answ:.7291 the back of book For one I have no idea how to use the binomial probabilities table . The mean is 10, variance is 6 and std is 2.45 If possible could someone explain how to...
Let X be a random variable with an N(2,4) distribution. FindP(|X−2|^2 >.36)
Let X be a random variable with an N(2,4) distribution. FindP(|X−2|^2 >.36)
Suppose X is a discrete random variable with mean μ and variance σ^2. Let Y =...
Suppose X is a discrete random variable with mean μ and variance σ^2. Let Y = X + 1. (a) Derive E(Y ). (b) Derive V ar(Y ).
a)Suppose random variable X has variance 1, Y has variance 4 and the variance of X...
a)Suppose random variable X has variance 1, Y has variance 4 and the variance of X + Y is 6. Which one of the statements below is correct? Group of answer choices Random variables X and Y are positively correlated Random variables X and Y are not correlated Random variables X and Y are negatively correlated Random variables X and Y are independent b)Suppose random variable X has variance 4, Y has variance 1 and the variance of X +...
1. Let X be a random variable with mean μ and variance σ . For a...
1. Let X be a random variable with mean μ and variance σ . For a ∈ R, consider the expectation E ((X − a)2) a) Write E((X −a)2) in terms of a,μ and σ2 b) For which value a is E ((X − a)2) minimal? c) For the value a from part (b), what is E ((X − a)2)? 2. Suppose I have a group containing the following first- and second-year university students from various countries. The first 3...
(a) Let X be a binomial random variable with parameters (n, p). Let Y be a...
(a) Let X be a binomial random variable with parameters (n, p). Let Y be a binomial random variable with parameters (m, p). What is the pdf of the random variable Z=X+Y? (b) Let X and Y be indpenednet random variables. Let Z=X+Y. What is the moment generating function for Z in terms of those for X and Y? Confirm your answer to the previous problem (a) via moment generating functions.
Let the random variable X is normal with mean zero and unit variance . Find the...
Let the random variable X is normal with mean zero and unit variance . Find the values of A and B such that P(A<X<B)=0.998. A= B=
Let X be a random variable with mean μ and variance σ2. Given two independent random...
Let X be a random variable with mean μ and variance σ2. Given two independent random samples of sizes n1 = 9 and n2 = 7, with sample means X1-bar and X2-bar, if X-bar = k X1-bar + (1 – k) X2-bar, 0 < k < 1, is an unbiased estimator for μ. If X1-bar and X2-bar are independent, find the value of k that minimizes the standard error of X-bar.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT