Question 31If my experimental hypothesis were 'Eating cheese before bed affects the number of nightmares you have',what would the null hypothesis be?O Eating cheese is linearly related to the number of nightmares you have.O Eating cheese before bed gives you more nightmares.O The number of nightmares you have is not affected by eating cheese before bed.O Eating cheese before bed gives you fewer nightmares.

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Answered: Question 31 If my experimental…

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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Fill in the Blank Question 3 If one or more of the relevant predictor variables are excluded, then the resulting OLS estimators are biased. The extent of the bias depends on the degree of the between the included and the excluded predictor variables.
A hypothetical study looks at the effect of drinking alcohol on health. Across all genders and age groups, people who do not drink tend to be healthier on average than people who do drink. However, people who drink regularly are on average healthier than those people who have recently stopped drinking. Is it reasonable to conclude that for the sake of health, we should not start drinking, but if we have already started drinking alcohol, it is healthier to continue and not to stop?
What are the independent and dependent variables for the following examples? What statistical test would you use for each of the following scenarios? What would you set your alpha-level at? Sally wants to examine whether there is a difference in muscular strength between participants who engaged in an 8-week resistance training program and participants who engaged in an 8-week endurance training program. The participants only took part in one of the 8-week programs, not both. What test would she use to determine whether the differences in muscular strength are significant? Why?
Question 2 Is the proportion of wildfires caused by humans in the south different from the proportion of wildfires caused by humans in the west? 380 of the 550 randomly selected wildfires looked at in the south were caused by humans while 404 of the 572 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer v (please enter a decimal) H: Select an answer v Select an answer V Select an answer |(Please enter a decimal) c. The test statistic (please show your answer to 3 decimal places.) d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer g. Thus, the final conclusion is that ... (Please show your answer to 4 decimal places.) the null hypothesis. O The results are statistically insignificant at a = 0.01, so there is insufficient…
A researcher selects a sample and administers a treatment for anxiety to the individuals in the sample. If the sample is used for a hypothesis test, what does the alternative hypothesis (H1) put forth about the treatment? A. The treatment has no effect on anxiety. B. The treatment adds a constant to each anxiety score. C. The treatment multiplies each anxiety score by a constant. D. The treatment has an effect on anxiety.
A researcher wants to explore the relationship between two variables: Time 1 and Time 2. Time 1 421 390 459 384 403 Time 2 A. O Matched pairs B. O Inference for regression C. O Two independent samples 400 383 436 362 392 If Time 1 is the time (in seconds) that it took for a random sample of five female college tennis players to run a mile, and Time 2 is the time (in seconds) of a random sample of five female college basketball players to run a mile, which of the following is the appropriate inference method to analyze these data?
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A1
Child Health and Development Studies (CHDS) has been collecting data about expectant mothers in Oakland, CA since 1959. One of the measurements taken by CHDS is the weight increase (in pounds) for expectant mothers in the second trimester. In a fictitious study, suppose that CHDS finds the average weight increase in the second trimester is 14 pounds. Suppose also that, in 2015, a random sample of 40 expectant mothers have mean weight increase of 15.8 pounds in the second trimester, with a standard deviation of 6.2 pounds. A hypothesis test is done to see if there is evidence that weight increase in the second trimester is greater than 14 pounds. Find the p-value for the hypothesis test. The p-value should be rounded to 4 decimal places.
When two independent variables produce effects when combined that would not be present if each independent variables was manipulated in a separate study, we say that there is O no main effect. O only a measured variable an interaction. O a planned comparison. rist and Stangor (2001) studied prejudice and found that you can't predict a person's behavior toward minorities on the basis of whether they are high or low
A researcher is studying two types of medication that both treat hives. 23 out of the random sample of 270 adults given medication A still had hives 30 minutes after taking the medication. 15 out of another random sample of 300 adults given medication B still had hives 30 minutes after taking the medication. Test to see if the proportion of people who still had hives after medicine A is different than the proportion of people who still had hives after medicine B. Use a 0.01 level of significance. The correct hypotheses are: Ho:PA PB (claim) Ho :PA PB H A:PA < PB (claim) Но :РА На :РА # рв (claim) = PB Since the level of significance is 0.01 the critical value is 2.576 and -2.576 The test statistic is: 1.684 x (round to 3 places) The p-value is: 0.092 x (round to 3 places) The decision can be made to:

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