What is ARCH effect and what is the impleid null hypotehsis. What does it mean if we reject the null hypothesis of ARCH effect
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What is ARCH effect and what is the impleid null hypotehsis. What does it mean if we reject the null hypothesis of ARCH effect
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- Are freshmen psychology majors more likely to change their major before they graduate compared to freshmen business majors? 355 of the 619 freshmen psychology majors from a recent study changed their major before they graduated and 356 of the 679 freshmen business majors changed their major before they graduated. What can be concluded at the = 0.10 level of significance? For this study, we should use The null and alternative hypotheses would be: (please enter a decimal) (Please enter a decimal) The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The results are statistically insignificant at αα = 0.10, so there is statistically significant evidence to conclude that the population proportion of freshmen psychology majors who change their major…Suppose we want to test the null hypothesis H0 : p1 - p2 = 0.12 against the alternative hypothesis H1 : p1 - p2 > 0.12 at the 5% level of significance. Suppose also that ^p1=0.8p^1=0.8, n1=500n1=500, ^p2=0.75p^2=0.75, n2=400n2=400. What is the p-value for this test? Select one: a. 0.05 b. 0.0328 c. 0.0064 d. 0.9936If we have a sample of size 100 from a population of rope with sample mean breaking strength of 960 pounds with standard deviation 200 pounds and we wish to run a hypothesis test with this data to see if the population mean breaking strength is less than 1000 pounds, then what is the TYPE I ERROR? NONE OF THE OTHERS The population mean was actually less than 960 pounds, but our data leads us to conclude it is at least 960 pounds, The population mean breaking strength is at least 1000 pounds but our data leads us to conclude it is less than 1000 pounds. The population mean breaking strength is not equal to 1000 pounds, but our data leads us to us to conclude it is equal to 1000 pounds. The population mean breaking strength is actually less than 1000 pounds, but our data leads us to us to conclude it is at least 1000 pounds.
- A political campaign is interested in whether city 1 has less support for raising the minimum wage than city 2. Polls were conducted in the two largest cities in the state about raising the minimum wage. In city 1, a poll of 800 randomly selected voters found that 459 supported raising the minimum wage. In city 2, a poll of 1000 randomly selected voters found that 534 supported raising the minimum wage. What type of hypothesis test should be performed? p^1= p^2= p^= Test statistic = p-value = Does sufficient evidence exist to support the claim that the level of support in city 1 is lower than that of city 2 at the α=0.05 significance level?yes or noWhen conducting an ANOVA on sbp and genhelth, the p-value is 0.008. Therefore we conclude Group of answer choices reject the null hypothesis at 1% level, mean sbp different for at least one category of genhelth reject the null hypothesis at 5% level, mean sbp different for all categories of genhelth reject the null hypothesis at 1% level, mean sbp different for all categories of genhelth no evidence to reject the null hypothesis of equal meansIn the largest clinical trial ever conducted 400 1974 children were randomly assigned to two groups the treatment group consists of 201229 children given the socs vaccine for polio the other 200745 children were given a placebo among those in the treatment Group 33 developed polio and among those in the placebo group 115 developed polio if we want to use the method for testing a claim about two population proportions to test the claim that the rate of polio is left for children given the Sox vaccine are the requirements for a hypothesis test satisfied
- The mean weight of super model winners is greater than 108 pounds. A study of 25 randomly selected super model resulted in a mean winner weight of 115 pounds. Choose the correct Null and Alternative HypothesisClark Barr makes a claim that 10% of all students who take statistics drop out. Rosetta Stone decidesto test his claim, since she believes that the dropout rate is greater than 10%. Rosetta uses a randomsample of 15e`0 students currently enrolled in a statistics course. In her sample, Rosetta finds that of the150 students, 22 dropped out. Test to determine the validity of Clark Barr’s claim at the 0.01 significancelevel. (Show all seven steps.)The mean weight of super model winners is less than 108 pounds. A study of 25 randomly selected super model resulted in a mean winner weight of 115 pounds. Choose the correct Null and Alternative Hypothesis For help please click the link below! Ho: H108 Ha: H=108 Ho:H=108 Ha: u> 108 Ho : u=108 Ha: H<108
- I post the questions few times but all times tutors gave the wrong solution, i give them 1 downvote. Don't answer my questions again who already gave me the answer.now i will give them multiple down votes. I also give you the multiple times down votes who will give me the wrong answer for my Statistics questions. Don't reject my question, if you don't know the answer, leave it for other tutors.Female Physicians The percentage of physicians who are women is 27.9%. In a survey of physicians employed by a large university health system, 48 of 119 randomly selected physicians were women. Is there sufficient evidence at the 0.10 level of significance to conclude that the proportion of women physicians at the university health system exceeds 27.9%? Part 1 of 5 (a) State the hypotheses and identifv th TI thesis test is a one-tailed test. Ti cal value is .28 Part: 2 /5 Part 3 of 5 (c) Compute the test value. Round the sample proportion to three decimal places and z score values to at least two decimal places.Well over 70% of last years graduates have jobs in thier filed of study. if the "Missouri Rule" is applied the related hypothesis test, the null hypothesis and alternative hypothesis will be