Please don't reject this. I REPOST THIS QUESTION COZ THERE'S NO ANSWER WHEN I POSTED THIS THE OTHER DAY. ANSWER THE LETTER D ONLY. A, B, and C have already been answered by one of the tutors here. Create a scenario/word problem involving the type of error you want to make. You can create any actual event /sentence as a representation of the problem. And, perform a hypothesis test afterward. Then, the hypothesis testing must have the four possible outcomes depending on the actual truth (or falseness) of the null hypothesis H0 and the decision to reject it or not. The Four possible outcomes that must be included: Do not reject the H0, Correct result, Type I Error (correct Outcome), Type II Error (Reject H0). (This is the third time that i post this question, in the first question there is an answer already. so, you can see the answer on a, b, and c. so, the letter D is the one that hasn't answered yet.) You can use it as your solution sheet. (below) Create the desired sample scenario of the following data set below: _______________________ _ _ Suppose the null hypothesis, H0 is: _ _ _____ a. Type I Error: _ b. a= P (Type I error): c. Type II error: _ ______________________ d. β = P (Type II error)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 13CYU

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Please don't reject this.

I REPOST THIS QUESTION COZ THERE'S NO ANSWER WHEN I POSTED THIS THE OTHER DAY.

ANSWER THE LETTER D ONLY. A, B, and C have already been answered by one of the tutors here.

Create a scenario/word problem involving the type of error you want to make. You can create any actual event /sentence as a representation of the problem. And, perform a hypothesis test afterward. Then, the hypothesis testing must have the four possible outcomes depending on the actual truth (or falseness) of the null hypothesis H₀ and the decision to reject it or not. The Four possible outcomes that must be included: Do not reject the H_0,Correct result, Type I Error (correct Outcome), Type II Error (Reject H₀).

(This is the third time that i post this question, in the first question there is an answer already. so, you can see the answer on a, b, and c. so, the letter D is the one that hasn't answered yet.)

You can use it as your solution sheet. (below)

Create the desired sample scenario of the following data set below:

_______________________________________________
_______________________________________________
_______________________________________________

Suppose the null hypothesis, H₀is_:___________________________________________________
___________________________________________________
___________________________________________________

a. Type I Error: _____________________________________________
__________________________________________________________
__________________________________________________________

b. a= P (Type I error): ________________________________________
__________________________________________________________
__________________________________________________________

c. Type II error: _____________________________________________
__________________________________________________________
__________________________________________________________

d. β = P (Type II error)

__________________________________________________________
__________________________________________________________
__________________________________________________________

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