You wish to test the following claim (Ha) at a significance level of a = 0.05. H.:p = 0.19 Ha:p > 0.19 162 in which there are 47 successful observations. For this test, You obtain a sample of size n = you should use the (cumulative) binomial distribution to obtain an exact p-value. (Do not use the normal distribution as an approximation for the binomial distribution.) The p-value for this test is (assuming H, is true) the probability of observing... at most 47 successful observations O at least 47 successful observations What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = 0.0007 ×

You wish to test the following claim (Ha) at a significance level of a = 0.05. H.:p = 0.19 Ha:p > 0.19 162 in which there are 47 successful observations. For this test, You obtain a sample of size n = you should use the (cumulative) binomial distribution to obtain an exact p-value. (Do not use the normal distribution as an approximation for the binomial distribution.) The p-value for this test is (assuming H, is true) the probability of observing... at most 47 successful observations O at least 47 successful observations What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = 0.0007 ×

Name: Keep getting the p-value wrong. You wish to test the following claim (
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: Keep getting the p-value wrong. You wish to test the following claim (Ha) at a significance level of a = 0.05.H.:p = 0.19Ha:p > 0.19162 in which there are 47 successful observations. For this test,You obtain a sample of size n =you should use the (cu

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
Here are two sets of bivariate data with the same response variable. The first contains the variables x & y. The second contains the variables w & y | y w y 25.3 43.9 68.8 36.7 43.8 56.7 57 55 49.2 61.3 27.9 52 57.4 69.3 48 | 50.5 33.7 47.3 58.3 49.2 46.3 56 46.6 34.4 67.1 75.8 35.1 48.3 25.7 43.4 19 76.8 47.2 57.9 7.3 56.8 37.5 57.4 32.9 56.2 44.8 60.4 43.8 49 29.7 38.5 26.4 | 60.9 42.8 53.6 55.6 49.4 60.3 69.7 53.9 55 53.2 67.1 47.8 42.7 57.4 66.3 25 54.8 45.5 57.6 13.9 65 42 51.6 69.5 43.6 38.9 54.8 79.5 29
You are testing the claim that the proportion of men who own cats is larger than the proportion of women who own cats. You sample 110 men, and 25% own cats. You sample 150 women, and 85% own cats. Find p (p-bar), as a decimal, rounded to two decimal places.
ALREADY HAVE FIRST THREE ANSWERS NEED THE REST. ANOVA. Dr. Milgram is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: 4 df Within-Group: 9 df Between-Groups: 2 Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22)…
I need help with the first question: Find the z-score value associated with a guess of 38.
The correlation between hours of sleep and hours of study is r = 0.14. (a) Calculate r². (Round your answer to four decimal places.) ,2 = = (b) Choose a sentence that interprets value r². 1.96% of the variation in hours of sleep is not explained by hours of study. Variation in hours of study explains about 1.96% of the observed variation in hours of sleep. 1.96% of the variation in hours of sleep is not explained by the variation in hours of study. Hours of study explains about 1.96% of the observed variation in hours of sleep.
How does R treat those observations with missing values? In other words, what role do the observations with missing values play in the regression? No command is needed for this question. You must need to provide an answer or take a guess.
The multiple regression describes how the mean value of y is related to the xi independent variables. The parameters ?i are used to describe how the mean value of y changes for a one-unit increase in xi when the other variables are held constant. The given estimated regression equation follows where x1 is the high-school grade point average, x2 is the SAT mathematics score, and y is the final college grade point average. ŷ = −1.38 + 0.0232x1 + 0.00482x2 If the variable x2 is held constant, then only changes in x1 will impact the predicted values of ŷ. Since the coefficient of x1 is positive, for each one-unit increase of x1, the values of ŷ will increase by the value of ?1, where ?1 = . In context, for each one point increase of the high-school grade point average, the final college grade point average will increase by this amount when the SAT mathematics score does not change. If the variable x1 is held constant, then only changes in x2 will impact the predicted values of ŷ. Since the…
Question8
A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.694, and the regression equation is y = 0.294x + 2.02. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. %
Determine the z-value of x=25 if 4 = 16 and o = 3.
what is the P value for this question and how do i get it?