based off the image: calculate the value of the test statistic for the appropriate hypothesis test. Lycopene is a bright red pigment which has been shown to have powerful antioxidant and antícarcinogenic properties. A biological research companyconducts experiments in vwhich seeds from cherry tomatoes are exposed to a series of pulsations of ultra-violet radiation with the aim of triggering agenetic mutation to increase lycopene production. It is well established from past experiments that the lycopene content for untreated cherrytomatoes is 12.7 mg/100g. A random sample of 36 treated seeds from a population of seeds of an identical variant was selected and were plantedand grown in identical conditions. The mean lycopene content of the treated seeds was determined via mass spectrometry to be 13.1 mg/100g and astandard deviation of 1.2. A histogram indicates that the distribution of the lycopene content appears to be roughly normally distributed.Select the appropriate set of hypotheses to determine if the radiation treatment effectively increases lycopene content in cherry tomatoes.Select one:O aHo : µ > 12.7 vs. HA : µ = 12.7Ho : µ = 12.7 vs. HA : µ > 12.7c.Ho : µ = 12.7 vs. HA : µ < 12.7O d. Ho : µ = 13.1 vs. HA :µ# 13.1O .Ho : T = 12.7 vs. HA : T > 12.7Of.H, : µ = 12.7 vs. HA : µ = 13.1H, : µ = 13.1 vs. HA : µ > 13.1H, : = 13.1 vs. HA : ¤ > 13.1Clear my choice

According to the given information in this question We need to calculate the test statistic of the…

Answered: based off the image: calculate 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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A researcher goes to a local park to see how many people are wearing face masks. She counts 37 women in the park, of whom 24 are wearing face masks, while 14 out of 30 men are wearing face masks. Can she say that there is a significant difference of the percent of each gender who wears masks? (Use α = .10) Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision: Sentence:
Thumbs-up is a popular and new soft drink company in India. The company wants to test the market for its product. A sample of 500 individuals participated in the taste test and 125 indicated that they like the taste. We would like to test if more than 20% of the population will like the new soft drink. For alpha=95% confidence, test the hypothesis.
A health manager wants to assess the relationship between number of doctor visits and patient feedbacks.Patient feedbacks are categorized between 1= very bad and 5= very goodin a scale. The SPSS analysis is given below. Write down the hypothesis for this case and specify the test used and comment on the results. Patient Feedback Visit to Doctor 5.00 2.00 4.00 1.00 4.00 2.00 5.00 3.00 4.00 3.00 3.00 4.00 3.00 4.00 4.00 4.00 2.00 5.00 2.00 5.00 3.00 5.00 1.00 4.00 One-Sample Kolmogorov-Smirnov Test Kisisel Saglik Degerlendirmesi Gecen Yil Icindeki Hekim Ziyaret Sayisi N 12 12 Normal Parametersa,b Mean 3.3333 3.5000 Std. Deviation 1.23091 1.31426 Most Extreme Differences Absolute .206 .232 Positive .127 .127 Negative -.206 -.232 Kolmogorov-Smirnov Z .713 .802 Asymp. Sig. (2-tailed) .689 .541 a. Test…
Use the technology display, which results from the head injury measurements from car crash dummies listed below. The measurements are in hic (head injury criterion) units, and they are from the same cars used for the table below. Use a 0.01 significance level to test the given claim. Test the null hypothesis that head injury measurements are not affected by an interaction between the type of car (foreign, domestic) and size of the car (small, medium, large). What do you conclude? Click the icon to view the data table and technology display. What are the null and alternative hypotheses? O A. Ho: Head injury measurements are affected by an interaction between type of car and size of B. Ho: Head injury measurements are not affected by an interaction between type of car and size of the car. H₁: Head injury measurements are affected by an interaction between type of car and size of the car. the car. H₁: Head injury measurements are not affected by an interaction between type of car and size…
Use the technology display, which results from the head injury measurements from car crash dummies listed below. The measurements are in hic (head injury criterion) units, and they are from the same cars used for the table below. Use a 0.10 significance level to test the given claim. Test the null hypothesis that head injury measurements are not affected by an interaction between the type of car (foreign, domestic) and size of the car (small, medium, large). What do you conclude? Click the icon to view the data table and technology display. What are the null and alternative hypotheses? O A. Ho: Head injury measurements are not affected by an interaction between type of car and size of the car. H₁: Head injury measurements are affected by an interaction between type of car and size of the car. O C. Ho: Head injury measurements are not affected by type of car. H₁: Head injury measurements are affected by type of car. Find the test statistic. F = (Round to two decimal places as needed.)…
What type of hypothesis test should be performed? Select What is the test statistic? Ex: 0.12 : Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.1 significance level? Select
The data below comes from a university that wanted to see if there was a relationship between High School GPA and College GPA. For each hypothesis test, provide the claim, critical values, test statistic and conclusion.1) Using a 95% level of confidence, test the claim High School GPA’s have a mean of 3.0.2) Using a 95% level of confidence, test the claim College GPA’s have a mean of 3.0.3) Using a 95% level of confidence, test the claim that the majority of students have at least a 3.0 GPA in High School. High School College GPAGPA3.88 3.713.20 2.982.88 2.713.95 3.744.1 4.03.9 3.813.4 3.332.77 2.643.55 3.363.45 3.353.05 2.973.94 3.83.65…
(a) What is a sample, i.e. test, statistic? (b) Why do we compare a test statistic to the critical value(s) in a hypothesis test?
Use the technology display, which results from the head injury measurements from car crash dummies listed below. The measurements are in hic (head injury criterion) units, and they are from the same cars used for the table below. Use a 0.10 significance level to test the given claim. Test the null hypothesis that head injury measurements are not affected by an interaction between the type of car (foreign, domestic) and size of the car (small, medium, large). What do you conclude? A. F = 1.41, p-value = 0.281 B. F = 2.25, p-value = 0.159 C. F = 1.37, p-value = 0.290 D. F = 0.44, p-value = 0.655
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The principal of a school would like to investigate whether more than 40% of the senior learners smoke. The study involved a random sample of 120 learners and 60 learners reported that they were smokers. Let: p= the population proportion of senior learners who smoke. p¯= the sample proportion of senior learners who smoke. (a) give the standard error of p¯ under the null Hypothesis (b) calculate the value of the test statistic (c) give the p-value

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