Answered: What would it mean to a hypothesis test…

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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This is part 'd' that isn't included in the picture. (d)Based on your answer to part (c), choose what can be concluded, at the 0.05 level of significance, about your claim. Since the p-value is less than (or equal to) the level of significance, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92% . Since the p-value is less than (or equal to) the level of significance, the null hypothesis is not rejected. So, there is not enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92% . Since the p-value is greater than the level of significance, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is…
Based on certain data, a null hypothesis is rejected atthe 0.05 level of significance. Would it also be rejectedat the(a) 0.01 level of significance;(b) 0.10 level of significance?
A sociologist wants to study what proportion of people have significant relationship problems due to financial stress. A previous study she is aware of estimated it to be 32% but she believes this has increased in modern times. She collects a random sample of 150 people and 63 of them report relationship problems due to financial stress. Conduct an appropriate hypothesis test in questions #22-#25. Compute the Z-score for this hypothesis test and round to two decimal places. z = 1.58 z = 2.06 z = 2.63 z = 0.84
Can you help me determine the test statistic, the P-value, and the conclusion for this hypothesis test?
23
If a hypothesis is rejected at significance level α = 0.01, is it possible that the hypothesis is not rejected if the same test was done at significance level α = 0.05 (with everything else staying the same)?
If the p-value is very large (say close to 1), then it is likely that we will reject the null hypothesis. True False
When asked what it means for the result of a hypothesis test to be practically significant (or practically important), Tatum says this means that the P-value is small and the null hypothesis has been rejected. what is wrong about this?
Answer the following True or False: Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up accepting the alternative hypothesis in error. false true
A professor notices that more and more students are using their laptop computers in class to take notes. He wonders if this may improve academic success. To test this, the professor records the number of times each student uses his or her laptop during a class for one semester (Laptop) and the final grade in the class out of 100 points (Grade). The professor wants to conduct a hypothesis test to test whether or not there is a significant relationship between Laptop and Grade at the .05 level of significance. Laptop Grade 30 86 23 88 6 94 0 56 24 78 36 72 10 80 0 90 0 82 8 60 12 84 18 74 0 78 32 66 36 54 12 98 8 81 18 74 22 70 38 90 5 85 29 93 26 67 10 80 Using excel, create a scatterplot and interpret. Does it seem to suggest there is a relationship? Write the null hypothesis and alternative hypothesis in symbols Using excel, obtain the correlation coefficient and report the output for the hypothesis test. Make a decision about…
The proportion of business improvement loan applications turned down in this country is equal to 15% "If the null hypothesis is Ho: p= O.15. How would the the alternative hypothesis be expressed
When asked what it means for the result of a hypothesis test to be practically significant (or practically important), Tatum says this means that the P-value is small and the null hypothesis has been rejected. Why is Tatum wrong?

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What would it mean to a hypothesis test if we increased or decreased the p-value? Why might someone increase or decrease the p-value?