PLEASE DO NOT COPY OTHERS ANSWER, THANK YOU! Let x1, x2, · · · , xn...

PLEASE DO NOT COPY OTHERS ANSWER, THANK YOU!

Let x1, x2, · · · , xn ∈ {0, 1}.

(a) (10 points) Consider the equation x1 + x2 + · · · + xn = 0 mod 2. How many solutions does this equation have? Express your answer in terms of n. For example, if n = 2, x1 + x2 = 0 has 2 solutions: (x1, x2) = (0, 0) and (x1, x2) = (1, 1).

(b) (5 points) Consider the equations x1 + x2 + · · · + xn = 0 mod 2 x1 + x2 + · · · + x10 = 0 mod 2 for n ≥ 10. How many solutions are there satisfying both equations?

Solutions

Expert Solution

orchestra answered 11 months ago

Next > < Previous

Related Solutions

PLEASE DO NOT COPY OTHERS ANSWER, THANK YOU! Alice and Bob play the following game: in...

PLEASE DO NOT COPY OTHERS ANSWER, THANK YOU! Alice and Bob play the following game: in each round, Alice first rolls a single standard fair die. Bob then rolls a single standard fair die. If the difference between Bob’s roll and Alice's roll is at most one, Bob wins the round. Otherwise, Alice wins the round. (a) (5 points) What is the probability that Bob wins a single round? (b) (7 points) Alice and Bob play until one of them...

: Let X1, X2, . . . , Xn be a random sample from the normal...

: Let X1, X2, . . . , Xn be a random sample from the normal distribution N(µ, 25). To test the hypothesis H0 : µ = 40 against H1 : µne40, let us define the three critical regions: C1 = {x¯ : ¯x ≥ c1}, C2 = {x¯ : ¯x ≤ c2}, and C3 = {x¯ : |x¯ − 40| ≥ c3}. (a) If n = 12, find the values of c1, c2, c3 such that the size of...

. Let X1, X2, . . . , Xn be a random sample from a normal...

. Let X1, X2, . . . , Xn be a random sample from a normal population with mean zero but unknown variance σ 2 . (a) Find a minimum-variance unbiased estimator (MVUE) of σ 2 . Explain why this is a MVUE. (b) Find the distribution and the variance of the MVUE of σ 2 and prove the consistency of this estimator. (c) Give a formula of a 100(1 − α)% confidence interval for σ 2 constructed using the...

Let X1,X2, . . . , Xn be a random sample from the uniform distribution with...

Let X1,X2, . . . , Xn be a random sample from the uniform distribution with pdf f(x; θ1, θ2) = 1/(2θ2), θ1 − θ2 < x < θ1 + θ2, where −∞ < θ1 < ∞ and θ2 > 0, and the pdf is equal to zero elsewhere. (a) Show that Y1 = min(Xi) and Yn = max(Xi), the joint sufficient statistics for θ1 and θ2, are complete. (b) Find the MVUEs of θ1 and θ2.

Let X1, X2, . . . , Xn be iid following a uniform distribution over the...

Let X1, X2, . . . , Xn be iid following a uniform distribution over the interval (θ, 2θ) (θ > 0). (a) Find a method of moments estimator of θ. (b) Find the MLE of θ. (c) Find a constant k such that E(k ˆθ) = θ. (d) By using the Rao-Blackwell, which estimators of (a) and (b) can be improved?

Let X1, X2, . . . , Xn be a random sample of size n from...

Let X1, X2, . . . , Xn be a random sample of size n from a Poisson distribution with unknown mean µ. It is desired to test the following hypotheses H0 : µ = µ0 versus H1 : µ not equal to µ0 where µ0 > 0 is a given constant. Derive the likelihood ratio test statistic

Let X1, X2, . . . , Xn represent a random sample from a Rayleigh distribution...

Let X1, X2, . . . , Xn represent a random sample from a Rayleigh distribution with pdf f(x; θ) = (x/θ) * e^x^2/(2θ) for x > 0 (a) It can be shown that E(X2 P ) = 2θ. Use this fact to construct an unbiased estimator of θ based on n i=1 X2 i . (b) Estimate θ from the following n = 10 observations on vibratory stress of a turbine blade under specified conditions: 16.88 10.23 4.59 6.66...

Let X1, X2, . . . , Xn iid∼ N (µ, σ2 ). Consider the hypotheses...

Let X1, X2, . . . , Xn iid∼ N (µ, σ2 ). Consider the hypotheses H0 : µ = µ0 and H1 : µ (not equal)= µ0 and the test statistic (X bar − µ0)/ (S/√ n). Note that S has been used as σ is unknown. a. What is the distribution of the test statistic when H0 is true? b. What is the type I error of an α−level test of this type? Prove it. c. What is...

2. Let X1, X2, . . . , Xn be independent, uniformly distributed random variables on...

2. Let X1, X2, . . . , Xn be independent, uniformly distributed random variables on the interval [0, θ]. (a) Find the pdf of X(j) , the j th order statistic. (b) Use the result from (a) to find E(X(j)). (c) Use the result from (b) to find E(X(j)−X(j−1)), the mean difference between two successive order statistics. (d) Suppose that n = 10, and X1, . . . , X10 represents the waiting times that the n = 10...

Let X = ( X1, X2, X3, ,,,, Xn ) is iid, f(x, a, b) =...

Let X = ( X1, X2, X3, ,,,, Xn ) is iid, f(x, a, b) = 1/ab * (x/a)^{(1-b)/b} 0 <= x <= a ,,,,, b < 1 then, find a two dimensional sufficient statistic for (a, b)

Subjects