Small-business telephone users were surveyed 6 months after access to carriers other than Carrier A becameavailable for wide-area.telephone service. Of a random sample of 280 Carrier A users, 151 said they were attemptingto learn more about their options, as did 174 of an independent random sample of 220 users of alternate carriers.Test, at the 5% significance level against a two-sided alternative, the null hypothesis that the two populationproportions are the same.Click the link to view a standard normal distribution table.Let P, be the proportion of Carrier A users who said they were attempting to learn more about their options and Pybe the proportion of users of alternate carriers who said they were attempting to learn more about their options.Determine the null and alternative hypotheses. Choose the correct answer below.OA. Ho: Px-Py #0H₁: Px-Py=0OD. Ho: Px-Py = 0H₁: Px-Py ≤0CICCO2OB. Ho Px-Py = 0H₁: Px-Py #0OE. Ho: Px-Py = 0H₁: Px-Py> 0OC. Ho Px-Py = 0H₁: Px-Py 20OF. Ho: Px-Py=0H₁: Px-Py <0

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Answered: Small-business telephone users were…

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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A paper describes a study in which 50 Greek male taxi drivers drove in a driving simulator, In the simulator, they were asked to drive folowing a lead car. On one drive. they had no distractions and the average distance between the driver's car and the lead car was recorded. In a second drive, they were asked to drive in the simulator while sending and receiving test messages. The mean of the 50 sample differences (no distraction - reading text messapes) was 16 meters and the standard deviation of the sample differences was 1.63 meters. The authors concluded that there was evidence to support the claim that the mean folowing eistance for Greek taxi drivers is greater when there are no distractiens than when the driver is texting. A USE SALT Construct a 95 cenfidencea interval for the diference in mean following distance for Greek tani drivers while driving with no distractions and while driving and texting. (Use o dutretion - Preading test meser Round your answers to three decimal…
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Woman Man Women who agree Women who disagree 589 249 311 51 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H: The proportions are the same. O B. Hn: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H: The proportions are different. OC. Ho: The response of…
Dr. Mutombo would like to assess the impact of using an online statistics service to help students study for the PSY 215 departmental final exam. A sample of 12 students is obtained. Half (n = 6) are given access to the new stats online service while the other half (n = 6) serves as a control group. Each group of students is eventually tested on an exam out of a 100. Below is the data obtained: Answer the following questions. Show your work for full credit and round to the third decimal whenever necessary. Control Group Experimental Group M1=63 M2=88 SS1=1250 SS2=1750 a. State your hypotheses b. Does the data indicate a ɔignificant difference between the treatments for a two-tailed test at the .05 level of significance? Please specify (1) the t statistic, (2) specify the boundaries of the critical region, (3) state your decision. Show your computations for full credit c. Compute r2 d. Write up your results in a sentence as you would for a research paper; use APA format.
If a researcher failed to use a random sample, how would this affect the research conclusion? If a researcher failed to use random assignment, how would this affect the research results?
In a survey of 1220 adults in a country, 58% said the country's leader should release all medical information that might affect their ability to serve. The study is observational, an experiment, because it applies does not apply a treatment to the adults.
A nationwide job recruiting firm wants to compare the annual incomes for childcare workers in New York and Illinois. Due to recent trends in the childcare industry, the firm suspects that the that the mean annual income of childcare workers in the state of New York is greater than the mean annual income of childcare workers in Illinois. To see if this is true, the firm selected a random sample of 20 childcare workers from New York and an independent random sample of 20 childcare workers from Illinois and asked them to report their mean annual income. The data obtained were as follows. Annual income in dollars New York 46686 , 34979 , 47325 , 48892 , 51128 , 56792 , 47785 , 48995 , 57301 , 55176 , 48002 , 45718 , 50351 , 58527 , 47067 , 53699 , 54361 , 49727 , 36426 , 50870 Illinois 48009 , 46871 , 42774 , 49790 , 43163 , 45401 , 41068 , 50300 , 47064 , 42003 , 47775 , 41917…
In the US, 45.1% of all people have type O blood, 39.6% have type A blood, 10.9% have type B blood and 4.4% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 614 millionaires. What can be concluded at the significant level of a = 0.05. For this study, we should use Chi-Square test for Goodness of Fit Your friend Caroline helped you with the null and alternative hypotheses... Ho : The distributions of blood types are the same between the general population and the millionaires. Ha: The distributions of blood types are NOT the same between the general population and the millionaires. You drew 614 samples, and the observed frequencies are recorded below. Please complete the table (round answers to at least 4 decimal places). Blood Type 0 A B AB Observed Count 274 230 57 53 Expected Count Click Download CSV to download csv file of data or copy/paste the data into Excel.…
The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level, and assuming that the sample sizes of 900 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 625 330 Women who disagree 275 70 Compute the test statistic, rounding to three decimal places. Find the critical value(s). (Round to three decimal places) What is the conclusion based on the hypothesis test?
When two births are randomly selected, the sample space for genders is bb, bg, gb, and gg. Assume that those four outcomes are equally likely. Construct a table that describes the sampling distribution of the sample proportion of girls from two births. Does the mean of the sample proportions equal the proportion of girls in two births? Does the result suggest that a sample proportion is an unbiased estimator of a 1 1 population proportion? For the entire population, assume the probability of having a boy is the probability of having a girl is, and this is not affected by how many boys or girls have previously been born. Determine the probabilities of each sample proportion. Sample proportion of girls ▼ ▼ ▼ Probability (Type integers or simplified fractions.)
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 535 344 Women who disagree 265 56 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are the same. B. H0: The proportions of agree/disagree…
A political scientist claims that 38% of first-year college students characterize themselves as being “moderate” or “middle of the road” as far as their political affiliation is concerned. Believing this claimed value is too high, you survey a random sample of 400 first-year college students and find that 120 characterize themselves as being “moderate” or “middle of the road.” Based on this information, what will the test statistic be? Choose the answer below that is closest to what you calculate, and try not to do a lot of rounding until you get to the very end of your calculations. 1. -0.3 2. -1.2 3. -2.6 4. -3.3 5. None of the other answer options are correct because the test statistic should be positive, not negative.
Periodically, customers of a financial services company are asked to evaluate the company's financial consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use ? = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. Assume the population variances are unequal. Consultant A Consultant B n1 = 16 n2 = 10 x1 = 6.85 x2 = 6.25 s1 = 0.69 s2 = 0.75 (a) State the null and alternative hypotheses. -H0:?1 − ?2 = 0 Ha:?1 − ?2 = 0 -H0:?1 − ?2 > 0 Ha:?1 − ?2 = 0 -H0:?1 − ?2 ≠ 0 Ha:?1 − ?2 = 0 -H0:?1 − ?2 = 0 Ha:?1 − ?2 > 0 -H0:?1 − ?2 = 0 Ha:?1 − ?2 ≠ 0 (b) Compute the value of the test statistic. (Round your answer to three decimal places.)…

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