CCidminHPentalty Kick DataKick to LeftKick to CenterKick to RightPrintGoalkeeper JumpLeft534350Center51310DoneRight393265ThisX In soccer, serious fouls result in a penalty kick with one kicker and one defending goalkeeper. The accompanying table summarizes resultsfrom 310 kicks during games among top teams. In the table, jump direction indicates which way the goalkeeper jumped, where the kickdirection is from the perspective of the goalkeeper. Use a 0.01 significance level to test the claim that the direction of the kick is independent ofthe direction of the goalkeeper jump. Do the results support the theory that because the kicks are so fast, goalkeepers have no time to react, sothe directions of their jumps are independent of the directions of the kicks?Click the icon to view the penalty kick data.Determine the null and alternative hypotheses.O A. Ho: Goalkeepers do not jump in the direction of the kick.+OD

The question is about chi square test Given : Level of signif. ( α ) = 0.01 To test : claim that…

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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Consider the following scenario and answer the questions below: The ornithologist decided to investigate the effect of temperature on the migration of North American birds. Develop a hypothesis in the appropriate format. Identify the independent variable. Identify the dependent variable. Plan an investigation (what would she do to collect data?). Did she engage in basic science or applied science? Explain. Did she engage in inductive or deductive reasoning? Explain
If observations are independent, that means that one observation has influenced another. True False
Major League Baseball now records information about every pitch thrown in every game of every season. Statistician Jim Albert compiled data about every pitch thrown by 20 starting pitchers during the 2009 MLB season. The data set included the type of pitch thrown (curveball, changeup, slider, etc.) as well as the speed of the ball as it left the pitcher's hand. A histogram of speeds for all 30,740 four-seam fastballs thrown by these pitchers during the 2009 season is shown below, from which we can see that the speeds of these fastballs follow a Normal model with meanu = 92.12 mph and a standard deviation of o = 2.43 mph. 85 90 100 speed (mph) Compute the z-score of pitch with speed 95.8 mph. (Round your answer to two decimal places.) 1.5 Approximately what fraction of these four-seam fastballs would you expect to have speeds between 90.2 mph and 90.8 mph? (Express your answer as a decimal, not a percent, and round to three decimal places.) Approximately what fraction of these four-seam…
Major League Baseball now records information about every pitch thrown in every game of every season. Statistician Jim Albert compiled data about every pitch thrown by 20 starting pitchers during the 2009 MLB season. The data set included the type of pitch thrown (curveball, changeup, slider, etc.) as well as the speed of the ball as it left the pitcher’s hand. A histogram of speeds for all 30,740 four-seam fastballs thrown by these pitchers during the 2009 season is shown below, from which we can see that the speeds of these fastballs follow a Normal model with mean μ = 92.12 mph and a standard deviation of σ = 2.43 mph. Compute the z-score of pitch with speed 89.4 mph. (Round your answer to two decimal places.)Approximately what fraction of these four-seam fastballs would you expect to have speeds between 88.2 mph and 95 mph? (Express your answer as a decimal, not a percent, and round to three decimal places.)Approximately what fraction of these four-seam fastballs would you expect…
1) If the data is IQ test scores, an individual with a negative z-score what IQ level would he have? 2
B) has more than one answer .. Thank you
Medical researchers followed 6272 Swedish men for 30 years to see if there was any association between the amount of fish in their diet and prostate cancer. (“Fatty Fish Consumption and Risk of Prostate Cancer,” Lancet, June 2001). A summary of the data is given in the table below. Fish Consumption No Prostate Cancers Prostate Cancers Never/Seldom 110 14 Small part of diet 2420 201 Moderate part of diet 2769 209 Large part of diet 507 42 A) If a patient is randomly selected, what is the probability that he/she had prostate cancer given that fish was never or seldom a part of the diet? Round your answer to three decimal places and include the leading zero. B) If a patient is randomly selected, what is the probability that s/he ate fish as a large part of their diet given that they had prostate cancer. Round your answer to two decimal places and include the leading zero.
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)?
How are the data search the same? How do they differ? A.) The three data sets have the same mean and mode but have different medians and standard deviations. B.) The three data sets have the same standard deviations but have different means. C.) The three data sets have the same mean, median and mode but have different standard deviations. D.) The three data sets have the same mode but have different standard deviations and means.
Assume that 135 surveys are completed. Of those surveyed, 61 responded positively to effectiveness, 65 responded positively to side effects, and 63 responded positively to cost. Also, 26 responded positively to both effectiveness and side effects, 29 to effectiveness and cost, 26 to side effects and cost, and 16 to none of the items. How many responded positively to all three?

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