An advertising firm is trying to determine if a lower proportion of interactions from online advertising result insales compared to the proportion of interactions from television advertising. The firm examines a random sampleof each type of interaction. The results of the data collected are shown below.What are the population parameters?✓ PickThe difference in the sample sizesThe difference in the two sample meansThe proportion of all interactions in each category that result in salesThe proportion of interactions in the sample in each category that result in salesConfluence 101The alternative hypothesis is Ha: Ponline PickSuccObsePropZ-scorep-value3702.9260.00169Should Ho be rejected or does Ho fail to be rejected? PickWhat conclusion can be drawn from the data?PickPTV✓evidence exists to support the claim that the proportion of sales generated by online advertising islower than the proportion generated by television advertising. Jump to level 1An advertising firm is trying to determine if a lower proportion of interactions from online advertising result insales compared to the proportion of interactions from television advertising. The firm examines a random sampleof each type of interaction. The results of the data collected are shown below.What are the population parameters?PickOnlineSuccessesObservationsProportionConfidence levelz-scorep-valueTelevision231 Successes1000 Observations0.231 Proportion95%2.9260.001692067000.294What is the level of significance? Ex: 0.12The null hypothesis is Ho: Ponline Pick PTVThe alternative hypothesis is Ha: Ponline Pick PTVShould Ho be rejected or does Ho fail to be rejected? PickWhat conclusion can be drawn from the data?Pickevidence exists to support the claim that the proportion of sales generated by online advertising islower than the proportion generated by television advertising.

Parameter is a value and it derived from the population. Ex : Population mean, Population…

Answered: An advertising firm is trying to…

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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The College Board provided comparisons of Scholastic Aptitude Test (SAT) scores based on the highest level of education attained by the test taker's parents. A research hypothesis was that students whose parents had attained a higher level of education would on average score higher on the SAT. The overall mean SAT math score was 514. SAT math scores for independent samples of students follow. The first sample shows the SAT math test scores for students whose parents are college graduates with a bachelor's degree. The second sample shows the SAT math test scores for students whose parents are high school graduates but do not have a college degree. College Grads 485 487 518 517 650 542 570 426 566 499 588 562 497 448 592 453 High School Grads 442 492 580 478 479 425 486 485 528 390 524 535 (b) What is the point estimate of the difference between the means for the two populations? (c) Find the value of the test statistic. (Round your answer…
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 33 college students and obtained the following data: 7.8, 8.1, 5.9, 7.1, 6.9, 8.5, 7.8, 6.2, 6.2, 7.2, 7.1, 7.3, 6.4, 8.3, 7.9, 6.6, 7.4, 6.8, 6.7, 7.2, 5.6, 8.3, 6.6, 6, 5, 7.7, 7, 6.6, 7.8, 6.3, 7.8, 6.3, 7.1 Construct a 87% confidence interval for the average hours of sleep per night that college students get. S = τα Margine of Error: E = hours We are 87% confident that college students get an average of between hours of sleep per night. and Question Help: D Post to forum ||
Consider the relationship between p-values and significance levels. a. Explain why a value of z-statistic that is significant at the 1% level in a one-sided test is always significant at the 5% level. b. Explain why the reverse is not true. If something is significant at the 5% level in a one-sided test it is not necessarily significant at the 1% level.
Past studies have indicated that the percentage of smokers was estimated to be about 34%. Given the new smoking cessation programs that have been implemented, you now believe that the percentage of smokers has reduced. You randomly surveyed 1783 people and found that 553 smoke. Use a 0.05 significance level to test the claim that the percentage of smokers has reduced.
The results of a random sample of students by type of school and their attitudes on safety steps taken by the school staff are shown in the table below. At the 5% significance level, can you conclude that attitudes about safety steps taken by the school staff are related to the type of school? School staff has School Type Taken all steps for student safety Taken some steps for student safety Public 40 51 Private 64 34

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