In soccer, serious fouls result in a penalty kick with one kicker and one defending goalkeeper. The accompanying table summarizes results from 287 kicks during games among top teams. In thetable, jump direction indicates which way the goalkeeper jumped, where the kick direction is from the perspective of the goalkeeler. Use a 0.05 significance level to test the claim that the directionof the kick is independent of the direction of the goalkeeper jump. Do the results support the theory that because the kicks are so fast, goalkeepers have no time to react, so the directions of theirjumps are independent of the directions of the kicks?Click the icon to view the penalty kick data.Ox² = (Round to three decimal places as needed.)Determine the P-value of the test statistic.P-value= (Round to four decimal places as needed.)Do the results support the theory that because the kicks are so fast, goalkeepers have no time to react, so the directions of their jumps are independent of the directions of the kicks?the theory thatevidence to warrant rejection of the claim that the direction of the kick is independent of the direction of the goalkeeper jump. The resultsThere is th onealkeepgoalkecks?eded)Pentalty Kick DataKick to LeftKick to CenterKick to RightGoalkeeper JumpLeft Center Right605383531406396- X-sults from 287 kicks duringse a 0.05 significance levegoalkeepers have no time

Given information: The table is given below, Goalkeeper Jump Left Center Right Kick…

Answered: In soccer, serious fouls result in a…

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 psychologist wants to test the influence of color on object recognition in 4-year olds. She recruits 25 children and shows them two sets of pictures of everyday objects (variable = picture type), has the children name them, and measures the time it takes (variable = reaction time). She shows the children a color set of pictures first and then shows them a black and white set of pictures. a) What is the independent variable? b) What is the dependent variable? c) What is the second independent variable? d) What is the second dependent variable? e) Is "picture type" a within-subjects or between-subjects variable? f) What scale of measurement is reaction time? g) What scale of measurement is picture type? h) The order of presentation of the picture sets is what kind of variable?
An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
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Express the alternative hypothesis in symbolic form. A psychologist claims that the mean amount of time (in hours) that females spend in talk therapy is more than that of men. Assume that two samples are independent. Let the female talk therapy times be the first population and the male talk therapy times be the second population.
Determine the causal relationship which best describes each situation. Assume a strong positive linear correlation has been observed between the variables and that the first variable is the independent one. b) non-commercial space launches, Sociology doctorates awarded i) Cause and Effect ii) Common Cause iii) Reverse Cause and Effect iv) Accidental v) Presumed
Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house price? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps for your method. Also, will you conclude that larger house corresponding to higher price (justify)?
Please use the information from question 4 to only answer question 5.
use. Do a conclusion about thiS 20.5 "reference" drugs that they imitate. One aspect in which ance times (second received the generic drug first, followed by the reference signed at random to the subjects. Subjects 1 through 10 matched pairs design. Numbers 1 through 20 were as- TABLE 20.5 Absorption extent for two drug first, followed by the generic drug. In all 20.50 Comparing two drugs. Makers of generic drugs must ght-hand and left. reads chow that they do not differ significantly from the Astep "reference" drugs that they imitate. One aspect in which Arugs might differ is their extent of absorption in the klood. Table 20.5 gives data taken from 20 healthy non- smoking male subjects tor one pair of drugs." This is a matched pairs design. Numbers 1 through 20 were as- signed at random to the subjects. Subjects 1 through 10 20. Subject Thread Th Right drug. Subjects 11 through 20 received the reference drug first, followed by the generic drug. In all cases, a washout period separated…
Here are the world record race times for women in the 10,000-meter run over several years. a) Which is the explanatory variable and which is the response variable? Year Race Time (seconds) 1967 2286.4 b) Make a scatterplot of these data. You do not have to draw the scatterplot for me. Describe what you see (form, direction, 1970 2130.5 1975 2100.4 strength, outliers). 1975 2041.4 c) Write the equation of the regression line for predicting race time from year. 1977 1995.1 1979 1972.5 d) Give the meaning of the slope of your line in terms of race time and year. What are the units of the slope in this problem? 1981 1950.8 1981 1937.2 e) What percent of the observed variation in 1982 1895.3 the race times can be explained by your 1983 1895.0 model? 1983 1887.6 f) Find the residual for the first data point or 1984 1873.8 the list (the 2286.4 seconds from 1967). 1985 1859.4 g) What does this linear model predict for th race time in the year 2075? Do you think 1986 1813.7 this is reasonable?…

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