How is the hatching of water python eggs influenced by the temperature of the snake's nest? Researchers randomly assignednewly laid eggs to one of three water temperatures: hot, neutral, or cold. Hot duplicates the extra warmth provided by the motherpython, and cold duplicates the absence of the mother.The table shows the result of the experiment.We want to testHo: The distribution of hatching status is the same for eggs like these that are placed in cold water, neutral water, or hot water.Ha: There is a difference in the distribution of hatching status is the same for eggs like these that are placed in cold water,neutral water, or hot water.The researchers will use a chi-square test for homogeneity to analyze the findings and calculates a P-value of 0.4267.HatchingstatusYesNoTotalCold161127Water TemperatureNeutral Hot3875182956104Total12958187Which of the following is an appropriate conclusion,using a = 0.10?OBecause the P-value of 0.4267 > a = 0.10, we failto reject Ho. We do not have convincing evidencethat there is a difference in the true proportion ofeggs like these that hatch in cold, neutral, or hotwater.Because the P-value of 0.4267 > a = 0.10, we failto reject Ho. We do not have convincing evidencethat there is a difference in the proportion of eggsthat hatched in cold, neutral, or hot water.Because the P-value of 0.4267> a = 0.10, weaccept Ho. We have convincing evidence that trueproportion of eggs like these that hatch in cold,neutral, or hot water is the same.Because the P-value of 0.4267 > a = 0.10, we failto reject Ho. We do not have convincing evidencethat true proportion of eggs like these that hatch incold, neutral, or hot water is the same.Because the P-value of 0.4267> a = 0.10, wereject Ho in favor of Ha. We have convincingevidence that there is a difference in the trueproportion of eggs like these that hatch in cold,neutral, or hot water.Incorrect

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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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Dr. Mackintosh believes a new olfactory therapy would be more successful in promoting weight loss among obese patients. His patients are first weighed and then randomly assigned to olfactory therapy, dance therapy, or a control condition. At the end of the three weeks, the amount of weight lost is recorded. The results indicate no significant difference in the amount of weight lost between the three conditions. Identify the independent variable along with each level and the dependent variable.
The director of student services at Oxnard College is interested in whether women are just as likely to attend orientation as men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 440 410 No 238 239 What can be conduded at the a - 0.10 level of significance? For this study, we should use z-test for a population proportion a. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer v Select an answer v (please enter a decimal and note that p1 and ul represent the proportion and mean women and and u2 represent proportion and mean for men.) H: Select an answer v Select an answer v Select an answer v (Please enter a decimal) b. The test statistic ? v (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d.…
Part 1 of 4 A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital 4:…
A science project involves testing the effects of different types of music on plant growth. A sample of 24 newly sprouted bean plants is obtained. The plants are randomly assigned to each experimental condition (6 per group). The experimental conditions are: rock music, heavy metal, country, and classical. The dependent variable is the height of each plant after 2 weeks. The ANOVA results are summarized as follows: MSB = 10 and SSW =40. Construct a summary table for this study
Micah is interested in testing whether college students' levels of gratitude change over the course of the semester. He randomly selects a sample of 100 students and assesses their levels of gratitude at the beginning, and end of the semester. Question 17 options: ANOVA Paired samples t test Independent samples t test Correlation
A test is being designed to compare the wearing quality of two brands of tires, say brand A and brand B. Six automobiles will be selected and equipped with the new tires from both brands and driven under normal conditions for 1 month. A measurement will be taken to determine how much wear took place on a scale from 0 to 200. Below is a table of the paired data collected from the 6 cars in the test. [BrandA BrandB] 125 64 64 65 94 103 38 37 90 102 106 115 Conduct a hypothesis test to determine whether the mean of the difference population is 0 at a significance level of a =. State your conclusion.
(OPHTHALMOLOGY) The following data are from a study on Botox injections. Patients received a high-dose injection in one eye (experimental treatment = treatment E) and a low-dose injection in the other eye (control treatment = treatment C). Patients were asked to rate the level of pain in each eye on a 1–10 scale, with higher scores indicating more pain. The assignment of treatments to eyes was randomized. The subjects came back over several visits. Data from the last visit are given in the following table: 1. Which of the following is the correct test to conduct given the situation above? 2. The hypotheses are: 3. What is the level of significance? 4. What is the computed test statistic? Hint: Use (mean of "Pain in E eye") minus (mean of "Pain in C eye") 5. What is the correct decision based on the p-value or critical value method?
Pls help ASAP. Pls show all work.

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