KA researcher for a pharmaceutical company claims that a new drugthey created increases red blod cell production for patients withleukemia.The researcher tested the red blood cell count for 41 patients withleukemia without taking the drug. The same patients had their redblood cell count tested after taking the drug.The difference was calculated as red blood cell count without thedrug minus red blood cell count with the drug.Select the correct null and alternative hypothesis to test the claim.Ω A. HO μ1 - μ2-0 H1μ1-μ2 <0O B. H0 μd=0 H1 µd <0_ C. HỌ ud + 0 H1 ud > 0OD. HO μ1-u2=0 H1 μ1 - μ2 > 0TO6NextLike you,"Responsmay be lo8MacBook Ai

Null hypothesis is the hypothesis of no difference While, alternative hypothesis is the claim being…

Answered: K A researcher for a pharmaceutical…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Describe type I and type II errors for a hypothesis test of the indicated claim. A shoe store claims that no more than 25% of its new customers will return to buy their next pair of shoes. Describe the type I error. Choose the correct answer below. 16 OA. A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is at least 0.25, but you reject Ho: p≥ 0.25. B. A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is no more than 0.25, but you fail to reject Ho: p ≤ 0.25. C. A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is at least 0.25, but you fail to reject Ho: p≥ 0.25. D. A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is no more than 0.25, but you reject Ho: p≤0.25. Describe the type II error. Choose the correct answer below. O A. A type II…
Identify the type I error and the type II error that correspond to the given hypothesis. The percentage of adults who have a job is less than 88%. dentify the type I error. Choose the correct answer below. A. Fail to reject the null hypothesis that the percentage of adults who have a job is less than 88% when the percentage is actually equal to 88%. B. Reject the null hypothesis that the percentage of adults who have am jobm is equal to 88% when that percentage is actually equal to 88%. C. Fail to reject the null hypothesis that the percentage of adults who have a job is equal to 88% when that percentage is actually less than 88%. D. Reject the null hypothesis that the percentage of adults who have a job is less than 88% when that percentage is actually less than 88%. Identify the type II error. Choose the correct answer below. A. Reject the null hypothesis that the percentage of adults who have a job is less than 88% when that percentage is actually less…
oli.cmu.edu/course/a2/rest/assessement/deliver?attempt=1&context=7e118d530a0001dc243d5eafc726f6eb Countdown: Days:-0 Time:-12:02:41 10 points Researchers created a new fertilizer. They conducted an experiment to compare the new fertilizer to the old fertilizer. They divided tomato plants into two groups. They applied the new fertilizer to one group and the old fertilizer to another group. The variable is the number of tomatoes per plant on a randomly selected day. 0 0 Old Fertilizer N=65 2 4 New Fertilizer N=58 4 6 6 20 600 8 8 10 10 12 14 16 12 14 Number of tomatoes per plant 18 16 18 20 20 Select one answer. Which one of the following statements is valid? A. O The new formula of fertilizer works better. Plants with the new fertilizer had more tomatoes. B. O The old formula of fertilizer was better because the plant with the most tomatoes was treated with the old fertilizer. The average number of tomatoes per plant with the old fertilizer is higher than the average amount of tomatoes…
You are testing the claim that a population proportion exceeds .62. The null hypothesis is H0H0:
When we test the hypothesis that the population proportions are equal, we can use the Z test for a one-sided as well as a two-sided alternative. Select one: a. False b. True C. Not sure
A null and alternative hypothesis are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. H0: μ = 5.2 Ha: μ ≠ 5.2 Question content area bottom Part 1 What type of test is being conducted in this problem? A. Right-tailed test B. Two-tailed test C. Left-tailed test
Fertilizer: A new type of fertilizer is being tested on a plot of land in an orange grove, to see whether it increases the amount of fruit produced. The mean number of pounds of fruit on this plot of land with the old fertilizer was 391 pounds. Agriculture scientists believe that the new fertilizer may increase the yield. State the appropriate null and alternate hypotheses. The null hypothesis is Ho:μ (choose one) and Answers The alternate hypothesis is H1:μ (choose one) and Answers
Did I calculate this correctly? Thank you.
Recall the scenario from the previous page. A psychic claims to be able to predict the outcome of coin flips before they happen. Someone who guesses randomly will predict about half of coin flips correctly. In 100 flips, the psychic correctly predicts 57 flips. Do the results of this test indicate that the psychic does better than random guessing? The hypotheses are H0: p=0.50p=0.50 Ha: p>0.50p>0.50 where p is the proportion of correct coin flip predictions by the psychic. 1. determine the P-value. 2. Give the conclusion based on the P-value above. Use a 5% level of significance.
fill in the blank
S Identify the type I error and the type II error for a hypothesis test of the indicated claim. The percentage of adults who retire at age 65 is less than 62%. Identify the type I error. Choose the correct answer below. OA. Reject the null hypothesis that the percentage of adults who retire at age 65 is less than 62% when it is actually true. OB. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is greater than or equal to 62% when it is actually false. OC. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is less than 62% when it is actually false. OD. Reject the null hypothesis that the percentage of adults who retire at age 65 is greater than or equal to 62% when it is actually true. Get more help - 4 Q Search P Pearson 3 right © 2023 Pearson Education Inc. All rights reserved. | Terms of Use | Privacy Policy | Permissions | Contact Us | S Clear all Check ans
The proportion of people who live after fighting cancer is 0.75. Suppose there is a new therapy that is used to increase the survival rate. Use the parameter p to represent the population portion of people who survive after fighting cancer. For a hypothesis test of the therapy’s effectiveness, researchers use a null hypothesis of p = 0.75. Pick the correct alternative hypothesis. 1. p > 0.75 2. p < 0.75 3. p 6= 0.75

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