In April of 2011, the unemployment rate in Canada was reported to be 7.3%. Suppose that Statistics Canada claims that the current unemployment rate is lower than that of April 2011. Suppose a test was conducted on current unemployment and a random sample size of 1200found an unemployment rate at 6.0%. Test an appropriate hypothesis and state your conclusion. Use a significance level of 10.0%.(a) What are the null and alternative hypotheses?Ho: P0.073 +HA: p(b) What is the test statistic? (Round your answer to 2 decimal places, if needed.)0.073(c) Using the statistical table, what is the p-value? (Round your answer to 4 decimal places, if needed.)(d) Based on the p-value, reject(e) This data providesCheckthe null hypothesis.+ sufficient evidence O conclude that the unemployment rate has decreased since April of 2011.

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Answered: In April of 2011, the unemployment rate…

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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2.
Suppose that the sample average is 44.4 while the null hypothesis is that the population mean is 44. If the standard error is 1 then what is the t test statistic? (Answer to 4 decimal places if necessary).
Suppose we wanted to estimate the mean room rate for luxury hotels in the Northeast. Assume that the standard deviation for room rates is $35 and that we want a 95% confidence interval. What is the smallest sample size should we choose if we want a margin of error for our interval of no more than $10? Type your answer here
Wecan infer a statistically significant difference between two population meanswhen:a. ourestimates of the two means are different.b. thevariances of the two means do not overlap.c. thestandard deviations of the two means do not overlap.d. the95% confidence intervals for the two means do not overlap.e. the95% confidence intervals for the two means are of different widths.
A Gallup survey based on telephone and face-to-face interviews with 4,220 adults in China, aged 15 and older suggests that 30% smoke regularly or occasionally. The following is also noted "one can say with 95% confidence that the maximum margin of sampling error is 2.2 percentage points". Which of the following is true based on the results of this survey? a. We are 95% confident that 27.8 % to 32.2 % of all Chinese adults smoke. b. If the sample size was larger, the margin of error would be larger as well. c.We are 95% confident that 25.6% to 34.4% of all Chinese adults smoke. d. Exactly 30% of all Chinese adults smoke. e. If we were to randomly sample another group of 4,220 Chinese adults we would find that exactly 30% of them smoke as well.
Provide an explanation as to why it would be very unlikely that a different sample of size n=30 would produce the same confidence interval.
If an experimenter realizes that the consequences of a type one error are severe, then he will most likely set the significance level of the test at 5% or possibly higher if the consequences are particularly troublesome a. true b. false
19.
We have conducted a one sided hypothesis test with a significance level a = 0.05. We would like to also construct a confidence interval with an equivalent level so that we can compare our results. What should the confidence level of this interval be? (Note: Do not include the percent sign.)
The president’s policy on domestic affairs received a 45% approval rating in a recent poll. The margin of error was given as 0.035. What sample size was used for this poll if we assume a 95% confidence level?
Suppose the following data show the percentage of 17- to 24-year-olds who are attending college in several metropolitan statistical areas in four geographic regions of the United States. Northeast Midwest South West 28.4 37.0 60.2 16.6 39.2 32.9 37.0 34.3 32.2 22.4 28.3 22.8 46.4 44.5 40.3 12.5 32.9 31.9 33.4 42.9 15.6 57.5 19.5 26.1 36.4 31.6 29.6 57.8 35.5 64.8 67.2 13.5 37.7 28.1 31.9 36.6 59.1 55.2 29.4 28.6 61.3 78.4 39.8 17.8 41.5 29.6 32.7 74.3 30.1 53.0 36.7 23.3 51.1 28.4 34.2 25.0 59.9 25.0 29.4 59.0 53.5 27.2 20.4 30.6 32.2 29.4 42.4 23.0 25.3 70.8 33.9 73.1 23.2 33.1 36.3 31.0 36.7 28.5 31.2 34.3
9.

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