Please find the critical values, the T value, the P value, and determine if you should reject or fail to reject the hypothesis and why. A group of third grade students is taught using anew curriculum. A control group of third gradestudents is taught using the old curriculum. Thereading test scores for the two groups are shown inthe back-to-back stem-and-leaf plot. At x = 0.10, isthere enough evidence to support the claim that thenew method of teaching reading produces higherreading test scores than the old method does?Assume the population variances are equal.Complete parts (a) through (e) below. Assume thesamples are random and independent, and thepopulations are normally distributed.OldCurriculumThe null hypothesis, HoThe alternative hypothesis, HaNew Curriculum3386 47995444315 04842220006 0024556677887002345898 39Key: 41710 = 74 Old and 70 NewWhat are Ho and Ha? Assume that μ₁ represents the mean of the test scores of those taught with the old curriculum and μ₂ represents the mean from the new curriculum. Identify the claim.The null hypothesis, Ho, is ₁ 2₂. The alternative hypothesis, H₂, is ₁

The data shows the old curriculum and new curriculum of third grade students.

Answered: Please find the critical values, the T…

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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Explain the step-by-step procedure for the current hypothesis test.
Please show your complete solution. Thank you! Please use Excel if possible. Problem: A sample of 800 items produced on a new machine showed that 48 of them are defective. The factory will get rid the machine if the data indicates that the proportion of defective items is significantly more than 5%. At a significance level of 5%, is there enough evidence to get rid of the machine? The following steps should be indicated in your answer: Null and Alternative Hypothesis (both in symbols and statement form) Level of Significance; sample size; test statistics Decision Rule Computation Decision and Conclusion
Complete solution and steps pls. need asap
Directions: Follow the steps in testing the hypothesis to answer the following problems. a. Identify the given in the problem. b. State the null and alternative hypotheses. c. Determine the test statistic, then compute its value. d. Find the critical value and draw the critical region. e. Draw a conclusion A teacher believes that less than 20% of the students like Mathematics. If 13 out of the 60 randomly selected students like mathematics, is the teachers' claim valid? Use 90% confidence level.
Come up with you own hypothesis testing scenario. What are examples of a null and research hypothesis? And consider what it would mean if you came up with significant results?
Suppose you want to test the claim that a population mean equals 38. State the null hypothesis.
A shopkeeper wonders if number of their female and male customers are equal or not. They count the customers of each gender for a day, they find that 48 females and 53 males visit the shop. Make a hypothesis test to decide if number of females and males are significantly different from each other or not. Report a p-value for significance.
If right-eye and left-eye dominance are equally prevalent, what would you expect the numerical value of the parameter to be? Is this the null hypothesis or the alternative hypothesis? e. If people are more likely to be right-eye dominant than left, what can you say about the numerical value of the parameter? Is this the null hypothesis or the alternative hypothesis?
b and c
Explain briefly when to use the Z-test, t-test and F-test in the hypotheses testing.
The school's newspaper reported that the proportion of students majoring in business is more than 30%. You plan on taking a sample to test this claim. The correct set of hypotheses is Group of answer choices H0: P < 0.30 Ha: P>= 0.30 H0: P<= 0.30 Ha: P > 0.30 H0: P>= 0.30 Ha: P < 0.30 H0: P > 0.30 Ha: P <= 0.30
In performing a hypothesis test, one should decide whether to reject or not reject the null hypothesis before summarizing the results. True or false. Explain.

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