b) What is the probability of being neutral and fall in the age group 26 - 35? c) What is the probability of being Dissatisfied given that you are older than 35? d) What is the probability of being in the Age group 18 - 25? e) Are age groups and satisfaction of the product associated? Write down the null and alternative hypothesis. What is the correct statistical test that should be used in this case? Explain your answer. Test your hypotheses and interpret the result.

b) What is the probability of being neutral and fall in the age group 26 - 35? c) What is the probability of being Dissatisfied given that you are older than 35? d) What is the probability of being in the Age group 18 - 25? e) Are age groups and satisfaction of the product associated? Write down the null and alternative hypothesis. What is the correct statistical test that should be used in this case? Explain your answer. Test your hypotheses and interpret the result.

Name: Question 2: The following shows the distribution of customers satisfa
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: Question 2: The following shows the distribution of customers satisfaction about a product categorized byage group. Using the table provided below answer the questions.SatisfactionSatisfiedNeutralDissatisfiedTotalAge Group18 - 25131873826 - 35922164

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

Need help
What is the power of a test? Select all that apply. a.The probability that a significance test will pick up on the fact that the true value is different from the null. b.The probability of incorrectly rejecting the null when it's true. c.The probability of incorrectly failing to reject the null when it's false. d.The probability of correctly rejecting the null when the null is false. e.The probability of avoiding a type 2 error
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 37 12 Subject Is Not a Drug User 19 32 The probability of a false positive test result is nothing. (Round to three decimal places as needed.)
Explain the difference between statistical significance and practical significance. Choose the correct answer below. O A. Statistical significance means that the sample statistic is not likely to come from the population whose parameter is stated in the null hypothesis. Practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application. O B. Statistical significance refers to how an unusual event is unlikely to actually appear in a real world application, such as every entry in a sample of size 50 having the same value. Practical significance refers to how an unusual event is likely to actually appear in a real world application, such as a rejection of a null hypothesis using data that looks feasible. O C. Statistical significance refers to the type of hypothesis test needed to analyze a population, with some tests being more important than Z tests. Practical…
Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.423 for a negative test result? Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) O Positive test results 15 41 Negative test results 30 11 The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.)
The table below shows the rank attained by male and female officers in the NYPD. Do these data indicate that gender and rank are independent? Rank Officer Detective Sergeant Lieutenant Captain Higher Ranks Male 21900 4058 3898 1333 359 218 Female 4281 806 415 89 12 10 a) Notice that this situation involves two categorical variables in which we have a table of observed values. Your calculator will give you a table of expected values when you run the test (see part (d) below). Give the name of the hypothesis test that would be appropriate for this situation. !, b) State the hypotheses in words. c) Use your calculator to perform the appropriate hypothesis test and report the test statistic, p- value, and degrees of freedom. Be sure to write out what you entered in your calculator. Use a significance level of a = 0.05.
Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.446 for a negative rest result? No( Did not Lie) Yes (Lied) + test results 10 46 - test results 32 13
Interpret the effect of temperature on the odds of thermal distress. Test the hypothesis that temperature has no effect, using (i) the Wald test, (ii) the likelihood-ratio test.
3. What is the law of large numbers? If you were using the relative frequency of an event 500 to estimate the probability of the event, would it be better to use 100 trials of trials? Explain. but probabilities
please help answer both in full
Indicate whether 25 is sufficient or whether a sample of 50 would be necessary. You will want to calculate the probability of the sample mean being between $11,000 and $13,000 for both a sample size of 25 and 50. (Thank You!)
A. When rolling 10 dice, what is the probability of rolling 7 sixes? How does this compare to the probability of rolling 7 dice with five or higher? Explain the difference. B. With two dice, what is the chance of rolling snake eyes (double 1's)? what is the chance of rolling doubles of any kind?