2. please Pick a sample problem where despite a high correlation between two quantitative variables why causation cannot be a reasonable argument. Explain it in your own words Why doesn't correlation mean causation?Even if there is a correlation between two variables, we cannot conclude that one variable causes a change in theother. This relationship could be coincidental, or a third factor may be causing both variables to change.For example, Liam collected data on the sales of ice cream cones and air conditioners in his hometown. He foundthat when ice cream sales were low, air conditioner sales tended to be low and that when ice cream sales were high,air conditioner sales tended to be high.• Liam can conclude that sales of ice cream cones and air conditioners are positively correlated.• Liam can't conclude that selling more ice cream cones causes more air conditioners to be sold. It is likely that theincreases in the sales of both ice cream cones and air conditioners are caused by a third factor, an increase intemperature!Reference: https://www.khanacademy.org/test-prep/praxis-math/praxis-math-lessons/gtp--praxis-math--lessons--statistics-and-probability/a/gtp--praxis-math--article--correlation-and-causation--lessonYour Task:Pick a sample problem where despite a high correlation between two quantitative variables why causation cannotbe a reasonable argument. Explain it in your own wordsHint: Think of examples where there is a strong correlation between variables where neither could be causing theother. Feel free to use charts if you want to help explain your example better.

Answered: Pick a sample problem where despite a…

Pick a sample problem where despite a high correlation between two quantitative variables why causation cannot be a reasonable argument. Explain it in your own words

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Identify the fallacy that the author of the letter below suggests the person who wrote the article commits. "You make statements about alcoholics in general on the basis of a study using entirely male samples. My experience as a member of Alcoholics Anonymous, however, has suggested that there are significant differences between female and male alcoholics. This is particularly noticeable with regards to the incidence and severity of depression"
5. please use a .05 significance level for all the problems. Show all your work.When you perform a test, you should at least tell me what your hypothesis is, the teststatistic and your conclusions based on your calculations. Medical researchers evaluating a drug for Multiple Sclerosis found in a sample of 12patients that the mean number of relapses was 7 and the sample variance of relapse was 4.41. Use a 0.05 signicance level to test the claim that the drug has a mean number of relapses less than 8 (please use both the P-value approach and the critical value approach to conduct your tests).
4. Following these overall patterns, what do you think the hypotheses would be to determine if a population proportion is different than 0.25? 5. Following these overall patterns, what do you think the hypotheses would be to determine whether a population variance is more than 337.4?
Explain the difference between a Type I error and a Type II error. Explain the connection between the significance level and a Type I error.
What are some common types of biases that can affect statistical analysis, and how can they be addressed?
1. in one-way ANOVA, identify the statistic used as a measure of variation among the sample means. as a measure of variation within the samples. to compare the variation among the sample means to the variation within the samples. 2. What is a two-way ANOVA?
Thanks
10) please solve all parts of the question correctly.
Explain the difference between a one-tailed and two-tailed significance test. When is it appropriate to use each test?
6. Explain the reasoning behind announcing one's choice of using a one-tailed test before performing the statistical analysis on an observed data set.
please answer the first 3 and explain the reason for the answer.