Wyatt recorded the number of ice cream cones sold (X) and the number of shark attacks (Y) on 60different days in Peril Beach, FL. He found there were more shark attacks on days when more ice creamcones were sold. He therefore concluded that the X variable has a causal effect on the Y variable:specifically, he thinks eating ice cream causes humans to seem tastier to sharks, which increases the numberof attacks. Wyatt could be correct...I guess. But maybe not. Suggest a different interpretation for thesignificant correlation that is based on the third variable problem. In your answer, explain what the thirdvariable problem is in general, and then provide a reasonable interpretation of the data that is based on thethird variable problem.A.The definition of "third variable problem" is:В.An interpretation of Wyatt's data based on the third variable problem is:

Introduction: It is required to discuss the concept of “third variable problem”, and explain the way…

Answered: Wyatt recorded the number of ice cream…

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
.. A certain drug is claimed to be effective in curing cold. In an experiment on were given the 500 persons with cold, half of them were given the drug and half of them sugar pills. The patients' reactions to the treatment are recorded in the following table: Helped Harmed No effect Total 30 70 250 Drug Sugar pills 150 130 40 80 250 Total 280 70 150 500 On the basis of the data can it be concluded that there is a significant difference in the effect of the drug and sugar pills ?
2.2 In the following descriptions of a study, confounding is present. Describe the explanatory and confounding variable in the study and how the confounding may invalidate the conclusions of the study. Furthermore, suggest how you would change the study to eliminate the effect of the confounding variable. A hospital introduces a new screening procedure to identify patients suffering from a stroke so that a new blood clot medication can be given to the patient during the crucial period of 12 hours after stroke begins. The procedure appears to be very successful because in the first year of its implementation there is a higher rate of total recovery by the patients in comparison to the rate in the previous year for patients admitted to the hospital. A high school mathematics teacher is convinced that a new software program will improve math scores for students taking the SAT. As a method of evaluating her theory, she offers the students an opportunity to use the software on the…
There is a strong correlation between the number of students graduating from SVS and the population of squirrels in York Region. The most likely type of causal relationship is:A.cause and effect B.accidental C.presumed D.reverse cause and effect
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My question is attached to this.
Rewrite the following sentence to remove its primary problem "We hypothesize that grade level has an effect on academic success."
Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 b) compute the correlation coefficient and coeffcient of determination. Interpret the coefficients.
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Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 13 12 34 Science Fiction 9 8 13 30 Comedy 10 8 11 29 Column Total 28 29 36 93 n USE SALT (a) What is the level of significance? State the null and alternate hypotheses. O Ho: Age and movie preference are independent. H: Age and movie preference are not independent. O Ho: Age and movie preference are independent. H,: Age and movie preference are independent. O Ho: Age and movie preference are not independent. H,: Age and movie preference are not independent. O Ho: Age and movie preference are not independent. H: Age and movie preference are independent. (b) Find the value of the chi-square statistic for the sample. (Round the…

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