Critical Value?Test Statistic?Determine Whether to reject H0?State conclusion? Like father, like son: In l1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 6pairs, with height measured in inches, simulated from the distribution specified by Pearson.Father'sSon'sheightheight70.869.870.771.070.173.373.676.565.770.972.469.1Send data to ExcelThe least-squares regression line y =b,+b,x=47.8026+0.3397x and E (x- x= 36.5350 are known for this data. Use the critical value method to testH:B, =0 versus H, : B, +0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance.Part: 0 / 4Part 1 of 4 65.770.972.469.1Send data to ExcelThe least-squares regression line y=b,+b,x=47.8026+0.3397x and E (x- x) =36.5350 are known for this data. Use the critical value method to testHo:B, =0 versus H, : B, +0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance.Part: 0 / 4Part 1 of 4Find the critical value(s). Round the answer to three decimal places. If there is more than one critical value, separate them with commas.Critical value(s):0,0,..

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Answered: Like father, like son: In 1906, the…

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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using Excel: The General Manager has heard a rumor that the employees with a “low” salary are working more hours (on average) than the employees with a “high” salary. The manager asks you to find out if the difference in average working hours is significantly more on the “low” salary employees than on the “high” salary employees. Use a t-test please explain on excel. State the null and alternative hypothesis and Show the summary output (No need to show it just explain how and which intercepts to select using EXCEL) Satisfaction Level 2020 Satisfaction Level 2019 number_project average_montly_hours time_spend_company Work_accident promotion_last_5years position salary 0.41 0.46 2 128 3 0 0 accounting low 0.38 0.5 2 132 3 0 0
Canon says their standard ink cartridges should print an average of 1062 pages before needing to be replaced, but Lexmark wants to prove that it is actually less than that. They take a sample of 70 identical printers with Canon ink cartridges and find the mean number of pages printed was 1041. .05, does Lexmark have enough evidence to say that Canon's claim is false? 59 and a Using s
Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
carefully weigh the data before casting your vote. As you review the data, you ask yourself, Assuming both teams handled roughly the same number of customers, which chart impresses me more? Which team is the most consistent? Which team, over time, has better average scores? Growing scores? Declining scores? What does the Descriptive Statistics ToolPak tell me about the data? Which team is showing improvement? Can I estimate (or visually predict using the best fit line) which team will have better future performance? If so, which team? How do I know? …and, for whom should I vote?
Using the attached images create hypotheses and write a conclusion (use a=0.05).
Null? test statistics? p value? conclusion for hypothesis
etermine whether the data are qualitative or quantitative and determine the level of mea- surement. Explain your reasoning. (a) The years in which the LA Lakers won the NBA championship (for example, 2020). ¥Circle one: Quantitative Qualitative ¥Level of measurement: ¥Explain your reasoning: (b) A collection of zip codes. ¥Circle one: Quantitative Qualitative ¥Level of measurement: ¥Explain your reasoning: (c) Today’s temperature in degrees Fahrenheit. ¥Circle one: Quantitative Qualitative ¥Level of measurement: ¥Explain your reasoning:
What is the claim, evidence and reasoning?
Example: Independent t-Test ● A group of 30 people jump into the Atlantic. Their temperature is taken immediately when they get out of the water (mean = 96.3). At the same time, the temperatures of 30 random people waiting on the beach are also taken (mean = 98.4). Do the two groups significantly differ? ● a) What hypothesis test? ● b) Assumptions? (pretend they've all been met) c) Hypotheses? ● ● d) If SE= .6, what is the test statistic? ● e) df=?, Critical value=2.000 f) Conclusion? g) 95% Cl of the drop in temperature? ● ●
Data in Appendix B compares the volumes of the contents of cans of Coke with the volumes of the contents of cans of Pepsi. See the information obtained below. Use a 0.05 significance level to test the claim that cans of Coke and Pepsi have the same mean weight. State the claim, state the claim in symbols, find the Null and alternative hypothesis, find the test statistic, find the critical value graph, find the critical values, find the decision, and what is the final conclusion. Coke ?1 = 36 ?1 = 0.11 oz. ?̅̅1 = 12.19 oz. Pepsi?2 = 36?̅̅2= 12.29 oz. ?2 = 0.09 oz.
Critically examine in detail the relationship between critical value and test value in hypothesis testing.give three different examples one for each in relation to types of test to be conducted.graphically show your answer.
Thanks

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