The Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea. Of 145 cases tested in Alabama, 8 were found to be drug- resistant. Of 130 cases in Texas, 18 were found to be drug-resistant. Does the data indicate that the proportion of drug-resistant cases in Alabama is lower than the proportion of cases in Texas at a=.025? For the hypothesis stated above, what is the test statistic (in terms of "Alabama" minus "Texas")? O a. -2.3306 O b. -2.3671 O C. -2.3418 O d. None of the answers is correct e. -2.3568

The Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea. Of 145 cases tested in Alabama, 8 were found to be drug- resistant. Of 130 cases in Texas, 18 were found to be drug-resistant. Does the data indicate that the proportion of drug-resistant cases in Alabama is lower than the proportion of cases in Texas at a=.025? For the hypothesis stated above, what is the test statistic (in terms of "Alabama" minus "Texas")? O a. -2.3306 O b. -2.3671 O C. -2.3418 O d. None of the answers is correct e. -2.3568

Name: QUESTION 11The Centers of Disease Control and Prevention has launched
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: QUESTION 11The Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea. Of 145 cases tested in Alabama, 8 were found to be drug-resistant. Of 130 cases in Texas, 18 were found to be drug-resistant. Does the data in

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

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?
Is the proportion of wildfires caused by humans in the south higher than the proportion of wildfires caused by humans in the west? 380 of the 581 randomly selected wildfires looked at in the south were caused by humans while 318 of the 503 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.10 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer Select an answer v (please enter a decimal) Hj: Select an answer Select an answer vSelect an answer v (Please enter a decimal) c. The test statistic ? v (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? a f. Based on this, we should Select an answer g. Thus, the final conclusion is that ... |the null hypothesis. O The results are statistically significant at a = 0.10, so there is sufficient evidence to…
Is the proportion of wildfires caused by humans in the south higher than the proportion of wildfires caused by humans in the west? 348 of the 574 randomly selected wildfires looked at in the south were caused by humans while 272 of the 518 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer (please enter a decimal) H₁: Select an answer Select an answer Select an answer (Please enter a decimal) = c. The test statistic ? ◊ your answer to 3 decimal places.) (please show
A national organization that conducts research on the cost and quality of health care in the U.S. reported that, in 2012, U.S. families spent an average of $9,590 on health care expenses. Suppose you decide to test whetherthe average in 2015 is greater than the average in 2012. After conducting the appropriate statistical test, you find a P-value of 0.022. If the level of significance is 0.05, which of the following is the best interpretation of the P-value? a. The P-value of 0.022 indicates that there is a 2.2% chance that the 2015 average is greater than the average amount spent in 2012.b. The P-value of 0.022 provides weak evidence that the average in 2015 average is greater than the average amount spent in 2012.c. The P-value of 0.022 provides strong evidence that the 2015 average is greater than the average amount spent in 2012.d. The P-value of 0.022 indicates that there is a very low probability that the 2015 average is different than average amount spent in 2012.
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
A source table has the following information: Three treatment conditions with a sample of n =7 participants in each treatment. You know SS(BW) = 20 and MS(WI) = 2. What is the missing value for MS(BW)? Answer choices: 40, 10, 2, 5 You have an ANOVA source table with the following information: Three treatment groups with a sample of n = 10 participants in each treatment. You also know the SS(BW) =20 and F = 5.00. What is the missing value for SS(Total)? Answer choices: 74, 54, 30, 22 For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition, what is the value for df(WI)? Answer choices: 30, 29, 24, 20
What statistical tool should I use for this problem? A graduating nursing student conducted a research regarding the effect of taking oral contraceptives to the blood pressure among women. She selected 40 women in her study who have not taken any contraceptives yet and 40 women who have taken contraceptives for a month, and then took their blood pressure. She analyzed the data and wanted to find out whether the blood pressure of women who took contraceptives significantly differs than those who don’t take any.
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
Given the Data: Seconds Frequency 66-70 4 61-65 8 56-60 7 51-55 2 Compute for the: a) Standard Deviation b) Variance c) Range
An article published in the “American Journal of Public Health” describes the results of a health survey administered to 119 male convicts, 50 years of age or older, residing in a state social rehabilitation center. It was found that 21.6% of them claimed to have a history of venereal diseases. Based on these findings, we wish to evaluate whether more than 15% of this population has a history of venereal diseases. What would be the p value that allows evaluating the research question? A. 4.32 B. 2.09 C. -1.72 D. 0.018 E. 0.957
Customers of a restaurant have been complaining about food poisoning over the past week. A health professional was called to investigate. He tested a representative sample of the eggs and reported that 23% of the sample eggs tested positive for the salmonella bacterium. If a second health professional tests 4 eggs at random, what is the mean of the number of eggs that test positive for salmonella?
Most alpine skiers and snowboarders do not use helmets. Do helmetsreduce the risk of head injuries? A study in Norway compared skiers and snowboarders who suffered head injuries with a control group who were not injured. Of 578 injured subjects, 96 had worn a helmet. Of the 2992 in the control group, 656 wore helmets. Is helmet use less common among skiers and snowboarders who have head injuries?