Music that matches a sports activity'srequirements has been shown toenhance sports performance. Verylittle, however, is known about theeffects of music on imagery in thecontext of sports performance. In onestudy, 63 novice dart throwers wererandomly assigned equally to threegroups. During each of 12dart-throwing imagery sessions, onegroup listened to unfamiliar relaxingmusic (URM); another listened tounfamiliar arousing music (UAM); andthe other listened to no music (NM).Dart-throwing performance wasassessed before and after theimagery sessions using a 40-dartdistance score (darts closer to thecenter of the board were given ahigher score). The following tablecontains the results for the gain inscore (after before).GroupSURM 37.24 5.66UAM 17.57 5.30NM 13.19 6.14Using Table E or software, what is theP-value for this study?P-value =

To find the p-value for this study, we need to perform an analysis of variance (ANOVA) test to…

Answered: Music that matches a sports activity's…

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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Sexual Signals. In a study by A. Elliot et al., titled “Women’s Use of Red Clothing as a Sexual Signal in Intersexual Interaction” (Journal of Experimental Social Psychology, Vol. 49, Issue 3, pp. 599–602), women were studied to determine the effect of apparelcolor choice based on perceived attractiveness and gender of a new acquaintance. The following experiment is based on the researchers’ investigation. Women are randomly assigned to be told that they would be conversing with an attractive male, an unattractive male, an attractive female, or an unattractive female. The women must wear a standardized shirt before the conversation, but can choose between red, green, and blue. a. experimental units. b. response variable. c. factor(s). d. levels of each factor. e. treatments.
A study by a reputable research group captured multitasking activities of adults who use different devices while watching TV. The study reported that 320 of 442 (72%) smartphone users sampled, 192 of 350 (55%)computer users sampled, and 139 of 260 (53%) tablet users sampled used their device to check social media unrelated to the video content while watching TV. Complete parts (a) through (c) below. a. Is there evidence of a significant difference among the smartphone, computer, and tablet users with respect to the proportion who use their device to check social media unrelated to the video content while watching TV? (Use α=0.10.) The test statistic is χ2STAT= Find X2STAT Please show me the process of how you find this.
A company wishes to evaluate the effect of package design on one of its products, a certain brand of cereal. The four package designs are to be tested in different stores throughout a large city. There are 20 stores available for the study. The amount of cereal sold is known to vary depending on the size of the stores. The 20 stores are divided into five groups of four stores each by size. The following sales figures ($1000s) were obtained after a 1-month period. Stores Design A Design B Design C Design D 1 40 33 37 38 2 45 27 32 40 3 43 31 30 41 4 44 38 40 42 5 56 45 49 42 Enter the above data into a suitable software and then conduct an analysis of variance without blocking to test whether there is evidence of a significant difference in me sales different packa designs. Use alpha = 0.01. What are the sums of squares for treatments? Please provide your answer to the nearest two decimal places.
A company wishes to evaluate the effect of package design on one of its products, a certain brand of cereal. The four package designs are to be tested in different stores throughout a large city. There are 20 stores available for the study. The amount of cereal sold is known to vary depending on the size of the stores. The 20 stores are divided into five groups of four stores each by size. The following sales figures ($1000s) were obtained after a 1-month period. Stores Design A Design B Design C Design D 1 40 33 37 38 2 45 27 32 40 3 43 31 30 41 4 44 38 40 42 5 56 45 49 42 Enter the above data into a suitable software and then conduct an analysis of variance with blocking (analyze this data as a complete block design) to test further whether there is evidence of a significant difference in mean sales of different package designs. Use alpha = 0.01. What are the mean squares for Treatments? Provide your answer to the nearest 2 decimal places.
A Psychology student wanted to study whether there is a difference in stress levels between gender. She devised a survey to measure stress. There were 20 questions with a total score of 100. She randomly selected 30 male and 30 female students to complete the survey. The stress scores of these 60 students can be found below. Male Female 67 70 68 76 67 69 69 75 70 73 68 88 69 68 70 69 70 75 70 79 71 71 71 68 70 71 71 68 72 78 70 76 69 75 69 69 71 69 69 71 70 68 70 76 70 74 72 71 71 69 70 70 71 74 69 80 72 69 71 79 (i) Describe the 90% confidence intervals for the mean stress score of each gender. Based on the confidence intervals, discuss whether we can conclude that the stress level of both genders are similar. You are required to present the relevant Excel reports. (ii) Apply an appropriate hypothesis test at the 10% significant level to determine whether the stress levels of both genders are similar. You are required…
There is a large body of literature demonstrating that early exposure to frightening movies is associated with lingering fright symptoms. As part of a class on media effects study was performed in which participants were asked to write narrative accounts of their exposure to frightening movies before the age of 13. More than one-fourth of the respondents said that some of the fright symptoms were still present in waking life. Some of the data is presented in the table: Ongoing fright symptoms No Yes Observed number of study participants Group W 50 29 c. d. Group Q 31 7 a. Construct the joint distribution of the data, and the marginal distributions. b. Construct and describe the conditional distributions for the two groups of participants. Draw a bar plot of the distributions in (b). Consider a test of association for the data in the table. State in a few words what such a test is used for. e. Perform the test in (d). State the hypotheses, test statistic, decision rule, and conclusion.
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. MaleDriver FemaleDriver 1.4 -0.2 1.2 0.5 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use ?males − ?females. Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t = df =…
The accompanying table summarizes data from a survey of 3,594 parents with school-aged children. In this survey, parents were asked if they were completely satisfied with the education their oldest child receives. School Type Percentage of ParentsCompletely Satisfied Public 28% Private 62% Of the 3,594 parents surveyed, 608 were parents whose oldest child attended a private school. The parents participating in this survey were thought to be representative of U.S. parents of school-aged children. (a) Use the given information to determine the number of parents surveyed falling into each of the cells in the table below. (Round your answers to the nearest integer.) CompletelySatisfied Not CompletelySatisfied Total Public School Private School 608 Total 3,594 (b) Estimate the probability that a randomly selected parent of school-aged children is completely satisfied with his or her oldest child's education. (Round your answer to four decimal…
Tim is interested in studying whether Cognitive Behavioural Therapy (CBT) is an effective treatment for Obsessive Compulsive Disorder (OCD). Six people who were diagnosed with OCD participated in Tim's study, where he recorded the number of times they washed their hands per day for one month. They were then given a three week intensive CBT program before their hand-washing was monitored for another month. The average number of times per day each participant washed their hands over the two months of observation are as follows: Participant Month 1 Month 2 1 11 6 2 8 5 3 14 17 4 10 10 5 22 11 6 15 10 Compute the appropriate statistic to determine whether the program was effective and use this information to fill in the blanks: Q1. revealed that the number of times per day participants washed their hands following the CBT program was Q2. compared to the number of times per day participants washed their hands before the…
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A researcher wanted to study the tendency of people’s choices to be influenced by their environment, so she conducted an experiment. The researcher recruited 90 volunteers. She randomly assigned 30 to sit in a room with red walls, 30 to sit in a room with yellow walls, and 30 to sit in a room with orange walls. After sitting in the room for a while doing mundane activities, she offered them all a snack of strawberries, bananas, or oranges. For each individual, she recorded which room the participant was in and which snack they chose. The data are displayed in the table. The researcher would like to know if these data provide convincing evidence that the distribution of snack choice differs for the various room colors in the population of all volunteers like these. Are the conditions for inference met?
A social psychologist wants to know if people judge a person's attractiveness differently if they appear rich or poor. Two pictures were taken with the same model, one in expensive clothes standing next to a new sports car, and the other in old clothes standing next to an old hatchback car. In an online survey, participants were randomly divided so that they saw one of the two pictures and were asked to rate the model's attractiveness on a scale of 1 to 10. 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 samples t-test ANOVA

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