Data previously obtained, lists full IQ scores from a random sample of subjects with low lead levels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are listed below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low blood lead levels is higher than the mean IQ score of people with high blood lead levels. Low Blood Lead Level High Blood Lead Level n1 = 78 n2 = 21 = 92.88462 X2 = 86.90476 S1 = 15.34451 S2 = 8.988352 State the claim: State the claim in symbols Null and Alternative hypotheses: What type tail test? Test Statistic: Critical Value Graph: Critical Value(s): Decision: Final Conclusion:

Data previously obtained, lists full IQ scores from a random sample of subjects with low lead levels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are listed below. Use a 0.05 significance level to test the claim that the mean IQ score of people with low blood lead levels is higher than the mean IQ score of people with high blood lead levels. Low Blood Lead Level High Blood Lead Level n1 = 78 n2 = 21 = 92.88462 X2 = 86.90476 S1 = 15.34451 S2 = 8.988352 State the claim: State the claim in symbols Null and Alternative hypotheses: What type tail test? Test Statistic: Critical Value Graph: Critical Value(s): Decision: Final Conclusion:

Name: Data previously obtained, lists full IQ scores from a random sample o
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Data previously obtained, lists full IQ scores from a random sample of subjects with low leadlevels in their blood and another random sample of subjects with high lead levels in their blood. The statistics are listedbelow. Use a 0.05 significance le

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

According to the most recent General Social Survey, 70% of adults watch TV nightly. A researcher believes that the proportion of college students who watch TV nightly is less than this. To test this claim the research samples 400 college students and finds that 276 watch TV nightly. At the 0.05 level of significance does this data provide evidence to suggest that the proportion of college students who watch TV nightly is less than 70%?
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 a. formulate the hypotheses b. find the test statistic c. find p- vaule for the hypothesis test d. at a=0.05, what is the conclusion
The accompanying table gives amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different states? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data. Arsenic Amounts Arkansas California Texas Determine the test statistic. 4.81 4.91 5.02 5.44 5.44 5.42 5.63 5.61 5.63 5.86 5.96 6.06 1.45 3.66 4.04 4.49 4.93 5.08 5.29 5.43 5.42 5.46 5.58 5.55 5.57 5.78 6.64 6.93 6.89 6.85 7.09 7.30 7.49 7.55 7.71 7.72 The test statistic is (Round to two decimal places as needed.) Print Done
A psychological study wants to analyze the relationship between anxiety and binge drinking; a questionnaire for anxiety and questionnaire for binge drinking is administered to each subject. What would be a good statistical test to test the hypothesis?
Internet addiction has been described as excessive and uncontrolled Internet use. The authors of a research article used a score designed to measure the extent and severity of Internet addiction in a study of 837 male and 874 female sixth-grade students in China. Internet Addiction was measured using Young's Internet Addiction Diagnostic Test. The lowest possible score on this test is zero, and higher scores indicate higher levels of Internet addiction. For the sample of males, the mean Internet Addiction score was 1.51 and the standard deviation was 2.02. For the sample of females, the mean was 1.01 and the standard deviation was 1.67. For purposes of this exercise, you can assume that it is reasonable to regard these two samples as representative of the population of male Chinese sixth-grade students and the population of female Chinese sixth grade students, respectively. The standard deviation is greater than the mean for each of these samples. Explain why it is not reasonable to…
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…
One study found a negative correlation between participant’s age and hours of sleep they got (as they got older, they slept less). Which additional fact would lead you to believe that the relationship between age and hours of sleep is one of causation and not correlation? Jim is 63 and sleeps more than he did when he 47. Josie is 40 and sleeps fewer hours than when she was 30. The participants were randomly selected, the sample size was large, and the participants did not know the goal of the study. Jennie sometimes has difficulty sleeping.
A researcher gathered a sample of participants who volunteered for a studying of phobias. She measured anxiety level of participants as they viewed photos of spiders and again when they viewed puppies. Which statistical test is appropriate for this study and why?
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. High School Grads College Grads 501 487 550 634 538 550 572 497 533 526 394 531 594 432 608 485 442 580 479 486 528 524 492 478 425 485 390 535
The U.S. Department of Transportation, National Highway Traffic Safety Administration, reported that 77% of all fatally injured automobile drivers were intoxicated. A random sample of 52 records of automobile driver fatalities in a certain county showed that 35 involved an intoxicated driver. Do these data indicate that the population proportion of driver fatalities related to alcohol is less than 77% in Kit Carson County? Use ? = 0.10. What is the value of the sample test statistic? (Round your answer to two decimal places.)=__ (c)Find the P-value of the test statistic. (Round your answer to four decimal places.)=__
Warren wants to know if the amount of coffee that you drink is related to the number of hours that you stay awake. He recruits 50 participants using random sampling to report how much coffee they drank and the time of the day that they went to sleep. He then performs a correlation to determine the association between the amount of coffee that was consumed and the number of hours that they stayed awake. There was a statistically significant positive correlation between amount of coffee that participants drank and the number of hours that they stayed awake, r(49) = .82, p < .05, two-tailed, r2 = .08. This was a small effect – 8% of the variance in the amount of coffee drank is explained by hours that you stay awake (and vice versa).
You are a public health researcher. You want to see if the average age that a person starts smoking has changed over time. Smokers are recruited to answer a survey that asked at what age they started smoking. You divided participants into two groups, one is participants under the age of 30 and the second for participants over the age of 30. The average age for the two groups were compared. Which statistical test would be best to determine if there is a significant different in starting age between the two groups. one-sample t-test related samples t-test independent samples t-test ANOVA