Statement 1: A significant difference between the sample means impliesthat the difference between the means of the groups is caused by someerrors in sampling. Statement 2: A lower alpha level indicates a lowerdegree of certainty in stating our conclusions. *BOTH Statements are TRUEBOTH Statements are FALSEO ONLY Statement 1 is TRUEO ONLY Statement 2 is TRUE Statement 1: A standard error of the mean of O (zero) concludes that the nis perfectly representative of the N. Statement 2: We compute for the F-value to determine whether the samples are correlated or uncorrelatedsamples. *BOTH Statements are TRUEBOTH Statements are FALSEO ONLY Statement 1 is TRUEONLY Statement 2 is TRUE

1) Statement 1: A significant difference between the sample means implies that the difference…

Answered: Statement 1: A significant difference…

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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Joe Biden (Democrat) will be running for President of the United States in 2020. His campaign is continually, among other things, wanting to estimate the percentage of Americans who will vote for him. a) How many Americans should be sampled to estimate the percentage of those who will vote for Joe Biden if his campaign wants to be 95% confident that the margin of error is no more than 2%? The last poll found that 49% of Americans said they will vote for Biden.
19.
Suppose a test is given to 20 randomly selected college freshmen in Ohio. The sample average score on the test is 12 points and the sample standard deviation is 4 points. Suppose the same test is given to 16 randomly selected college freshmen in Iowa. The sample average score on the test is 8 points and the sample standard deviation is 3 points. We want to test whether there is a significant difference in scores of college freshmen in Ohio versus Iowa. Does the 90% confidence interval indicate that there is evidence of a difference in population means? Group of answer choices Yes Not enough information No
Suppose in one season, one baseball team averaged 20 run per game ( team 1), and team 2 averaged 10 runs . Assume each team had 10 hitters (n=10 for both). Assume that we don’t know the population standard deviations on each teams hits, but assume the sample standard deviations are 5 for each team. Test whether this difference is significant at the 95% confidence level, i.e., it is rarely likely to occur by chance if one team isn’t really better than the other. Use this information to answer questions 8 -12 below (Hint: Solve like “Are Men and Women Equal Talkers” Problems) The appropriate test statistic for testing whether the difference between these two means is unlikely to have happened by chance is the z-statistic b .t-statistic chi-square statistic F-statistic The value of the test statistic is (assume population standard deviations are unknown, and not equal). 14.14 .401 .600 4.46 At the 95% confidence level, can we say this is a common difference in…
4. What would the sampling distribution of this estimator be? Why?
John wants to open a learning center for high school students in his community. John wants to compare the average time area high school students spend studying per week with the regional average, 20.5 hours. John surveys 25 randomly selected local high school students, asking how much time they spend studying in a typical week. Graphs of his sample data show no strong skewness or outliers. Choose the correct inference procedure that John should use to test if the mean weekly study time from his sample differs from 20.5 hours: one-sample, two-sided z-test for a proportion one-sample, right-tailed t-test for a mean one-sample, left-tailed t-test for a mean one-sample, two-sided t-test for a mean
You wish to test the following claim (H) at a significance level of a = 0.05. For the context of this problem, d = 2-1 where the first data set represents a pre-test and the second data set represents a post-test. Ho: Pd = 0 Ha: d < 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain pre-test and post-test samples for n = 301 subjects. The average difference (post-pre) is d = 2.4 with a standard deviation of the differences of sa = 22.7. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = L What is the P-value for this test? (Report answer accurate to four decimal places.) P-value = The P-value is... O less than (or equal to) a O greater than a This P-value leads to a decision to... O reject the null O accept the null O fail to reject the null
Alicia would like to know if there is a difference in the average price between two brands of shoes. She selected and analyzed a random sample of 40 different types of Brand A shoes and 33 different types of Brand B shoes. Alicia observes that the boxplot of the sample of Brand A shoe prices shows two outliers. Alicia wants to construct a confidence interval to estimate the difference in population means. Is the sampling distribution of the difference in sample means approximately normal? A) Yes, because Alicia selected a random sample. B) Yes, because for each brand it is reasonable to assume that the population size is greater than ten times its sample size. C) Yes, because the size of each sample is at least 30. D) No, because the distribution of Brand A shoes has outliers. E) No, because the shape of the population distribution is unknown.
A graduate Statistic Student wants to estimate the true proportion of county college ("c.c.") students in here state who go on to receive an Associate Degree (AD ), She is able to take a random sample of n = 100 of those c.c. stuents, and 64 of those students received an AD. Find her 90% confidence interval for the true proportion of c.c. students in her state that receive an AD. Be sure to either i)Use full calculator syntax including proper label on your output or i)write down the formula, plug in the appropriate nun bers, and then give the calculated interval including a proper label. 1-prop-Z Int x: 64,n: 100, Clevel.90, interval (.56105,.71895 b. 1-prop-Z Int x: 64,n: 100, Clevel .90, interval (.66105,.71896 1-prop-Z Int x: 64,n: 100, Clevel .90, interval (.51105,.70950 1-prop-Z Int x: 64,n: 100, Clevel .90, interval (.61105,.81105 by C.
14. In 2005, Health Canada claimed that 16.7% of Canadian adults are obese. A researcher wanted to check whether this percentage has changed in 2009. He randomly selected 200 Canadian adults and found 29 of them are obese. Use9% significance level. Null and alternative hypothesis are a) H0: p = 0.167, H1: p not equal to 0.167 b) H0: mu not equal to 16.7, H1: mu = 16.7 c) H0: p not equal to 0.167, H1: p = 0.167 d) H0: mu = 16.7, H1: mu not equal to 16.7
11.

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