TiliEditViewHistoryBookmarksWindowHelputoSaveOFFGMH M台90,G 回名DrawDesignLayoutReferencesMailings >> Tell meShare|^三^三^三:三|三三Book Antiqua12A^ AAa vA v Av目:Styles StylesPane8) A significance test based on a small sample may not produce a statisticallysignificant result even if the true value differs substantially from the null value.This type of result is known asa) the significance level of the test.b) the power of the study.c) a Type 1 error.d) a Type 2 error.614 words*English (United States)Focus三

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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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According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in the U.S. in 2007 were for identity theft. In that year, Alaska had 321 complaints of identity theft out of 1,432 consumers ("Consumer fraud and," 2008). Does this data provide enough evidence to show that Alaska had a different proportion of identity theft than 23%? Test at 5% level.
A shopkeeper wonders if number of their female and male customers are equal or not. They count the customers of each gender for a day, they find that 48 females and 53 males visit the shop. Make a hypothesis test to decide if number of females and males are significantly different from each other or not. Report a p-value for significance.
Following an oil spill, a particular region of the ocean is being tested for the level of a chemical called naphthalene. It is considered fact that fish from the region will be safe to eat if, and only if, the mean naphthalene level in the region is less than 3.3 parts per billion. A set of water specimens will be randomly selected from the region and tested, and if the results provide convinving evidence that the mean naphthalene level is less than 3.3, then the sale of fish from the region will be made legal. Which of the following describes a Type I error and its consequences? A) the authorities fail to obtain convincing evidence that the mean naphthalene level is less than 3.3, and do not legalize the sale of fish from the region when in fact the fish are SAFE for consumption. B) The definition of a Type I error depends on the actual results of the study in question C) The authorities fail to obtain convincing evidence that the mean naphthalene level is less than 3.3, and do not…
According to the February 2008 Federal Trade Commission report on consumerfraud and identity theft, 23% of all complaints in 2007 were for identity theft. Inthat year, Arkansas had 1,601 complaints of identity theft out of 3,482 consumercomplaints ("Consumer fraud and," 2008). Does this data provide enoughevidence to show that Arkansas had a higher proportion of identity theft than23%? Test at the 5% level.
Researchers are interested in the body fat measurements of elite women volleyball players from different countries test the claim that the mean body fat if elite women volleyball players from country 1 is smaller than the mean body fat if elite women volleyball players from. Country 2 at the 0.10 significance level
Research by Harvard Medical School experts suggests that boys are more likely to grow out of childhood asthma when they hit their teenage years. Scientists followed over 1000 children between ages of 5 and 12, all of whom had mild to moderate asthma. By the age of 18, 14% of girls and 27% of boys seems to have grown out of asthma. Suppose their analysis was based on 500 girls and 500 boys.(a) Do the hypothesis testing at 5% level of significance to test whether the proportion of boys who grow out of asthma in their teenage years is more than that of girls.(b) Find beta(0.30, 0.15)
A recent survey asked 1200 randomly selected U.S. adults if they believe that the U.S. federal government is doing enough to keep U.S. elections safe from outside interference. Of the survey participants, 620 were men and 580 were women. The researchers wanted to know if there was a difference in how men and women responded and decided to conduct a hypothesis test. The researchers predict that there is no difference between the proportion of women (p1) and men (p2) who believe that the U.S. federal government is not doing enough to keep elections safe. Which of the following are the correct null and alternative hypotheses to test this claim? a. Ho: p1 # p2 and Ha: p1 = p2 b. Ho: p1 = p2 and Ha: p1< p2 c. Ho: p1 > p2 and Ha: p1 # p2 d. Ho: p1 = p2 and Ha: p1 # p2
When an election for political office takes place, the TV cancels all regular programming and instead provide election coverage. For important offices such as the President of the US, the networks actually compete to determine who will be the first to predict a winner. This prediction is carried out via “exit polls” wherein a random sample of voters exiting the polling booth is asked for whom of the two candidates they voted. Based on the data, a statistical model (which can vary from station to station) is applied to determine whether there is sufficient evidence to infer that the leading candidate identified in the “exit poll” will gather sufficient votes to win. In a particular election, the “exit poll”survey for a particular network indicated that 407 of the 765 voters polled said that they had voted for candidate A. The polls close at 8:00 PM. At confidence level 0.95, what is the test statistic for winning candidate?
Suppose a group of researchers attempt to confirm the result of "Distractions in Everyday Driving," covered in News Story 5 "Driving while distracted is common, researchers say," by recreating the study. In a random sample or 240male drivers,102indicated they have experienced external distractions while driving. In addition, in a random sample of 270 female drivers, 98 indicated they have experienced external distractions while driving. Test whether the population proportion of male drivers experiencing external distractions while driving was greater than the population proportion of female drivers experiencing external distractions while driving. Use a .05 level of significance. A. What assumptions are required for conducting this test. B. State the null and alternative hypotheses (both mathematical notation and words) C. Calculate the test statistics (by hand) D. Give the P-value associated with the hypothesis test in part (a). E. State the conclusion, using p-value approach.
The mean age of bus drivers in chicago is 56.7 years. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?
Suppose a study reported that the average personn watched 3.37 hours of television per day. a random sample of 15 people gave the number of hours of television watched per day shown below. at the 1% significance level, do the data provide sufficent evidence to conclude that the amount of television watched per day last year by the average person is greater than the value reported in the study? 2.2, 4.0, 4.7, 4.8, 4.2, 5.8, 4.0, 5.5, 2.3, 3.4, 5.1, 5.6, 2.2, 4.1, 2.3 what is the test statistic value for this problem? a.0.28 b.-38 c.none of the above d. 0.58 e.-4.295 f..04 g. 1.94 . the proper conclusion for this problem is? a. reject the null hypothesis we have sufficent evidence to prove the average number of hours people watch tv is more than 3.37 hours. b. Do not reject the null hypothesis we have sufficient evidence to prove the average number of hours of TV watched is greater than 3.37 hours c. Reject the null hypothesis and claim the average number of hours people watch TV is…
Suppose a study reported that the average personn watched 3.37 hours of television per day. a random sample of 15 people gave the number of hours of television watched per day shown below. at the 1% significance level, do the data provide sufficent evidence to conclude that the amount of television watched per day last year by the average person is greater than the value reported in the study? 2.2, 4.0, 4.7, 4.8, 4.2, 5.8, 4.0, 5.5, 2.3, 3.4, 5.1, 5.6, 2.2, 4.1, 2.3 in constructing a 96% confidence interval for the parameter in this problem the proper value to use for the question is ? a. 0.8315 from the z chart table b.none of these c. -2.05 from the z chart d. 1.645 from the z chart e. 2.010 from the t chart 96% confidence interval for the parameter in the problem is? a.(.76, .87) b.(3.2632, 4.763594) c. (-4.07, 4.07) d. none e. (3.0269, .4.9997) f. (3.333, 4.6937) THANK YOU

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