Are these results statistically significant or not? 3. Independent Sample: A professor of women's studies is interested in determiningif stress affects the menstrual cycle. Sixteen women are randomly sampled for anexperiment and randomly divided into two groups. One of the groups is subjected tomoderate stress (they have to listen to my lectures!) while the other lives in arelatively stress-free environment. The professor measures the menstrual cycle (indays) of each woman during the second month. The following data are obtained:Moderate stress:Relatively stress-free:18 25 17 20 23 26 25 2420 23 26 30 28 29 30 28

Given Information: Moderate stress Relatively Stress free 18 20 25 23 17 26 20 30 23 28…

Answered: 3. Independent Sample: A professor of…

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 non-profit organization is collecting data about how alcohol consumption affects academic performance. They want to perform a hypothesis test to see whether there is a relationship between how much alcohol a student consumes, and whether they are in good academic standing (GPA greater than or equal to 2.0). The results are summarized in the table below: Drinks 3+ Drinks per week Observed Data Good Academic Standing 137 Poor Academic Standing 40 Total 177 Expected Frequencies Good Academic Standing Poor Academic Standing Total a. Fill in the table of expected frequencies below. Round your answers to 2 decimal places. 177 Drinks 3+ Drinks per week 164 52 216 Ho: Alcohol consumption and academic standing are independent Ha: Alcohol consumption and academic standing are correlated Drinks 1-3 Drinks per week 216 d. Come to a conclusion: O Fail to reject the null hypothesis. O Reject the null hypothesis. Drinks 1-3 Drinks per week Ho: Not drinking any alcohol makes it more likely a student…
Variation in gasoline mileage among makes and models of automobiles is influenced substantially by the weight and horsepower of the vehicles. An automobile manufacturer would like to determine if heavier cars consumer more gas than lighter cars. He collects data on 25 heavy and 25 light cars to test this hypothesis. What analysis would you complete to answer this question?
Are seatbelts effective at saving lives? We wish to examine whether or not the use of seatbelts reduces fatalities at the a = 0.01 level of significance. Let pN represent the proportion of non-seatbelt wearing passengers who were involved in a crash and died and py represent the proportion of seatbelt wearing passengers who were involved in a crash and died. NOTE: The data used in this study were obtained through observational study...no experiment was conducted! Which would be correct hypotheses for this test? O Ho:PN = pY, H1:PN > pY Ho: PN = pY, H,:PN Py In a random sample of 321 non-seatbelt wearing passengers involved in a car crash, 30 were killed. In a random sample of 492 seatbelt wearing passengers involved in a car crash, 13 were killed. Find the test statistic (2 decimal places): Give the P-value (4 decimal places - if less than 0.001 answer 0): Which is the correct result: Reject the Null Hypothesis O Do not Reject the Null Hypothesis Which would be the appropriate…
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
In an ABA design, the second stage is used to: reduce the chance that fatigue effects will occur manipulate the independent variable measure the effect of the dependent variable establish a baseline
A researcher should reject the null hypothesis if the Pearson's correlation coefficient is 0. a. true b. false
question c i need help with
Question #2 A diet guide claims that you will get 120 calories in a serving of vanilla yogurt. Consumer Reports tested 14 brands of vanilla yogurt and found the following numbers of calories per serving: 160 200 220 230 120 180 140 130 170 190 80 120 100 170 Test the claim that the mean number of calories per serving of vanilla yogurt is 120. Use a significance level of 0.05. Show all the steps of your hypothesis test including The claim being tested: The null and alternative hypothesis: The test statistic
4. A community college wants to analyze the age and GPA of its students. Here is the data: Age 18 40 25 38 44 19 51 28 31 24 GPA 2.9 3.3 2.0 3.9 3.7 2.7 3.9 3.5 1.9 2.9 3.4 Can we say that there is a significant relationship between these variables? (Use a = %3D .05) Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision: Sentence: 21
A pharmaceutical company is testing a new drug for a rare disease. In a clinical trial, 1000 patients with the disease were randomly assigned to receive either the new drug or a placebo. After one year, it was found that 60% of the patients who received the new drug experienced improvement, compared to only 40% of those who received the placebo. Is the difference in improvement rates statistically significant? Provide your rationale.
The results of a recent study regarding smoking and three types of illness are shown in the following table. Illness Non-Smokers Smokers Totals Emphysema 20 50 70 Heart problem 70 80 150 Cancer 40 40 80 Totals 130 170 300 We are interested in determining whether or not illness is independent of smoking. a. b. c. d. The null hypothesis is to be tested at the 5% level. Determine the critical value for this test. What do you conclude in the context of this problem? e. Determine the p-value and perform the test. Make a conclusion in the context of this problem.
10.In a study we reject Ho Which of the following statements are incorrect and why? (a) "Now we know that H, is false." (b) "We have proof that our sample mean represents a particular p." (c) "We have proof that the independent variable causes scores to change as predicted." (d) "It is not pos- sible that the difference between X and u is due to sampling error." (e) "We have evidence that the predicted relationship does

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