A psychologist studied the effect of defendants' likeability and nervousness on willingness to convict the defendant. Each participant read a transcripa trial and watched a brief videotape that supposedly showed the defendant on the witness stand. The actor who played the defendant varied the forpossibilities of likeable versus not and nervous versus not. After viewing the tape, participants rated the likelihood that the defendant is innocent (1 =unlikely, 10 = very likely). The data are given in the accompanying data table. Complete parts (a) through (d) below.Click the icon to view the data table.Click here to view page 1 of the table of cutoff values for the F distribution.Click here to view page 2 of the table of cutoff values for the F distribution.Click here to view page 3 of the table of cutoff values for the F distribution.Click here to view page 4 of the table of cutoff values for the F distribution(a) Carry out the analysis of variance (use the 0.05 significance level). Complete the table.SSMSFSourceColumnsRowsInteractionWithinTotal(Round to two decimal places as needed.)Ip me solve thisView an exampleGet mData TableNervousNot NervousPrintLikeable(OL) + INO6414123Not LikeableDoneN+LO TOLO246465

The data shows the likeable or not likeable and nervous and not nervous.

Answered: A psychologist studied the effect 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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In June 2015, Gallup conducted a poll of a random sample of 14,683 adults to determine the well-being of people living in the United States. One question asked, "Did you exercise at least 30 minutes for 3 or more days in the past week?" In the survey, 58.9% of males and 52.7% of females responded yes to this question. Which of the following is true about this scenario? A. O 58.9% and 52.7% are both parameters. B. O 58.9% and 52.7% are both statistics. C. If we took another random sample of 14,683 adults, we would expect to get the exact same results.
A fitness course claims that it can improve an individual's physical ability. To test the effect of a physical fitness course on one's physical ability, the number of sit-ups that a person could do in one minute, both before and after the course, was recorded. Ten individuals are randomly selected to participate in the course. The results are displayed in the following table. Can it be concluded, from the data, that participation in the physical fitness course resulted in significant improvement? Let d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course)d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course). Use a significance level of α=0.05 for the test. Assume that the numbers of sit-ups are normally distributed for the population both before and after taking the fitness course. Sit-ups before 42 42 23 32 30 42 25 47 35 38 Sit-ups after…
A fitness course claims that it can improve an individual's physical ability. To test the effect of a physical fitness course on one's physical ability, the number of sit-ups that a person could do in one minute, both before and after the course, was recorded. Ten individuals are randomly selected to participate in the course. The results are displayed in the following table. Can it be concluded, from the data, that participation in the physical fitness course resulted in significant improvement? Let d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course)d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course). Use a significance level of α=0.05 for the test. Assume that the numbers of sit-ups are normally distributed for the population both before and after taking the fitness course. Sit-ups before 42 42 23 32 30 42 25 47 35 38 Sit-ups after…
A fitness course claims that it can improve an individual's physical ability. To test the effect of a physical fitness course on one's physical ability, the number of sit-ups that a person could do in one minute, both before and after the course, was recorded. Ten individuals are randomly selected to participate in the course. The results are displayed in the following table. Can it be concluded, from the data, that participation in the physical fitness course resulted in significant improvement? Let d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course)d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course). Use a significance level of α=0.05 for the test. Assume that the numbers of sit-ups are normally distributed for the population both before and after taking the fitness course. Sit-ups before 42 42 23 32 30 42 25 47 35 38 Sit-ups after…
You are hiking through the woods, and come across some tracks; based on your expe- rience, you estimate there is a 40% chance the tracks are from a dog, a 30% chance the tracks are from a wolf, a 20% chance the tracks are from a coyote, and a 10% chance the tracks are from some other animal. Your friend, also a nature lover, notices some white hairs in the tracks. They know that 20% of dogs have white hair, 50% of wolves have white hair, 10% of coyotes have white hair, and 30% of other animals in the area have white hair. What are the odds of these tracks coming from a dog, wolf, coyote, or other animal?
Five percent of the customers who visit a website complete a product purchase. If one considers just the set of customers who completed the project purchase at the website, 80% read at least some of the user reviews about the product on the site. When considering those customers who did not purchase of the product at the website, only 20% of these potential customers read the user reviews about the product on the site. The website managers are interested in how customer review-reading behavior affects the likelihood of purchase. A likelihood probability for this problem context is: A. P(Purchase | Visit Site) B. P(Did Not Purchase | Read User Reviews) C. P(Visit Site | Purchase) D. P(Did Not Read User Reviews | Product Purchased) E. None of the answers are correct.
A fitness course claims that it can improve an individual's physical ability. To test the effect of a physical fitness course on one's physical ability, the number of sit-ups that a person could do in one minute, both before and after the course, was recorded. Ten individuals are randomly selected to participate in the course. The results are displayed in the following table. Can it be concluded, from the data, that participation in the physical fitness course resulted in significant improvement? Let d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course)d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course). Use a significance level of α=0.05α=0.05 for the test. Assume that the numbers of sit-ups are normally distributed for the population both before and after taking the fitness course. Sit-ups before 3030 3939 5353 3838 3333 5151 2222 3838…
A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6 Mean: 12.7 Mean: 13 Since the simulation shows ( many cases or free cases )? where a mean difference of ( solve for this answer ) or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely ) ?due to the random assignment of participants into groups, so the results of the study are (…
Five percent of the customers who visit a website complete a product purchase. If one considers just the set of customers who completed the project purchase at the website, 80% read at least some of the user reviews about the product on the site. When considering those customers who did not purchase of the product at the website, only 20% of these potential customers read the user reviews about the product on the site. The website managers are interested in how customer review-reading behavior affects the likelihood of purchase. Which of the following probability statements are true? P(Read Reviews | Purchase) = 0.040 P(Did Not Purchase | Read Reviews) = 0.726 None of the answers are correct. P(Purchase | Did Not Read Reviews) = 0.040 P(Did Not Read Reviews | Did Not Purchase) = 0.200
A study was performed to test eyewitness accuracy. Ten pairs of participants entered a room believing they would be participating in a gambling experiment. Each participant was given $10 in coins to play poker with. The participants were randomly seated near the door or away from the door. After 15 minutes, an actor dressed in street clothes burst into the room and stole the money from the participant near the door. The “thief” was later caught, and both participants (the victim and the witness) were asked to identify him in a line-up. Eyewitness accuracies from the participants were then compared. The ten victims reported a mean accuracy of 31.5 (SD = 21). The witnesses had a mean accuracy of 52.2 (SD = 19.5). Was there a difference? What was the effect size of eyewitness accuracy? Show the nul and alternative hypthoesis, aplhpa level 0.05 and test the null hypothtesis and draw the rejctin line, conclusion and effect size
A psychologist wanta to determine the effect of relaxing music on a person's reaction to a stressful event. Participants were randomly assigned to one of three groups. A participant was brought into a room with no windows and only one door. In the background, either soft classical music, or no music at all was playing. After a set amount of time, a fire alarm went off, and smoke started to come from under the door. A hidden video camera records the participants behavior that is later scored by the experimenter for level of panic from 0-100. Which statistical test would be best to determine if there is a significant difference between groups? One sample t test Dependent samples t test Independent t test ANOVA

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