Check My Work (5 remaining)Each year, over 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In particular, the Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea (CDC.govwebsite). Of 142 cases tested in Alabama, 9 were found to be drug-resistant. Of 268 cases tested in Texas, 5 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug-resistant cases in the two states? Use a 0.02 level of significance. What is the p-value, and what is your conclusion?Test statistic =(to 2 decimals)p-value =(to 4 decimals)Conclusion: Reject the null hypothesisChoose the correct option.There is a significant difference in drug resistance between the two states. Alabama has the higher drug resistance rate.True

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Answered: Each year, over 2 million people in the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The world is currently being adversely affected by the COFLU-20 pandemic. Persons are required to take certain measures to prevent the spread of this virus; however, persons’ knowledge, attitudes and practices towards COFLU-20 may influence their adherence to these measures. A researcher decided to evaluate the knowledge, attitudes and practices towards COFLU-20 of adults living in the English-speaking Caribbean. To gather the data, the researcher developed an online survey consisting of four (4) sections. Section A gathered demographic data on the respondents including their gender, marital status, highest level of education attained, occupation and country of residence. Section B consisted of 15 questions that gathered data on the respondents’ knowledge of COFLU-20. Section C consisted of 10 questions that gathered data on the respondents’ attitudes towards COFLU-20. The final section, Section D, consisted of 5 questionsthat gathered information on the respondents’ practices against…
Is it defense or offense that wins football games? The accompanying data file includes a team’s winning record (Win in %), the average number of yards gained, and the average number of yards allowed during a recent NFL season. Team Win Yards_Gained Yards_Allowed Arizona Cardinals 46.9 366.8 305.2 Atlanta Falcons 68.8 415.8 371.2 Baltimore Ravens 50.0 347.7 322.1 Buffalo Bills 43.8 354.1 357.0 Carolina Panthers 37.5 343.7 359.8 Chicago Bears 18.8 356.5 346.8 Cincinnati Bengals 40.6 356.9 350.8 Cleveland Browns 6.2 311.0 392.4 Dallas Cowboys 81.2 376.7 343.9 Denver Broncos 56.2 323.1 316.1 Detroit Lions 56.2 338.8 354.8 Green Bay Packers 62.5 368.8 363.9 Houston Texans 56.2 314.7 301.3 Indianapolis Colts 50.0 364.4 382.9 Jacksonville Jaguars 18.8 334.9 321.7 Kansas City Chiefs 75.0 343.0 368.5 Miami Dolphins 25.0 262.7 337.0 Minnesota Vikings 62.5 332.8 382.6 New England Patriots 50.0 315.1 314.9 New Orleans Saints 87.5 386.2 326.4 New York…
2) What percentage of Contra Costa County adults supports a ban on assault-style weapons? Suppose that we survey a random sample of 100 adults living in Contra Costa County and find that 62% support a ban on assault-style weapons. According to a 2015 study by the Pew Research Center, 57% of U.S. adults favor a ban on assault-style weapons. Assuming that the variability in random samples will be the same in Contra Costa County as in the U.S., find the 95% confidence interval to estimate the proportion of CCC adults that favor a ban on assault-style weapons. a) Verify that the conditions for the use of the normal model are met using the 2015 study. b) Why do we check conditions for use of the normal model? c) Calculate the standard error based on the 2015 study. What does this humber tell us? d) Find the 95% confidence interval for Contra Costa County. e) Write a sentence to interpret the interval. f) Are we confident that the majority of Contra Costa County residents support a ban on…
Should Genetic Data be treated any different than general research information/data?
Labor Day was created by the U.S. labor movement over 100 years ago. It was subsequently adopted by most states as an official holiday. In a poll by Gallup, 1000 randomly selected adults were asked whether they approve of labor unions; 650 said yes. In 1936, about 72% of Americans approved of labor unions. At a 5% level of significance, do the data provide sufficient evidence to conclude that the percentage of Americans who approve of labor unions now has decreased since 1936? Solve using the critical-value approach. Define the parameter we are testing and setup a hypothesis test to see if less than 72% of Americans approve of labor unions currently. Calculate the test statistics for this hypothesis test. What is the critical value for this hypothesis test?
A scientist is studying the effect of a new type of exercise program on cardiovascular health. The scientist randomly assigns individuals to either the exercise program or a control group. The scientist wants to determine if the exercise program has a statistically significant effect on cardiovascular health. The scientist monitors cardiovascular health by measuring the blood pressure of each individual.
what kind of statistical data might a barglar alarm company employ in trying to convince urdban homeowers to purchase its products
Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Perform a two-sample t-test analysis to determine if the availability of shiftwork significantly influences absenteeism. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below (Please let me know how I can get the two sample t-test output in Excel, I do not need the copied version) AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the availability of shiftwork. Data: Wage Pct PT Pct U Av Shift U/M Rel Absent 22477 8.5 57.1 1 1 5.4 29939 1.9 41.5 0 1 4.1 22957…
Please help I will give a good rating 1) What does it mean for a deck to get "heavy" in blackjack ? 2) A guy is gambling the dealer makes 21. The cards showing on the table are: 10 & 9, 8 & 9, Q & 5, and Q & 8. The dealer’s hand shows a 6, 2, 2, 4, and 2. Assuming that these are the only cards out of a single deck, what is thethe probability that the dealer makes 21 with the next “hit”?
The world is currently being adversely affected by the COFLU-20 pandemic. Persons are required to take certain measures to prevent the spread of this virus; however, persons’ knowledge, attitudes and practices towards COFLU-20 may influence their adherence to these measures. A researcher decided to evaluate the knowledge, attitudes and practices towards COFLU-20 of adults living in the English-speaking Caribbean. To gather the data, the researcher developed an online survey consisting of four (4) sections. Section A gathered demographic data on the respondents including their gender, marital status, highest level of education attained, occupation and country of residence. Section B consisted of 15 questions that gathered data on the respondents’ knowledge of COFLU-20. Section C consisted of 10 questions that gathered data on the respondents’ attitudes towards COFLU-20. The final section, Section D, consisted of 5 questionsthat gathered information on the respondents’ practices against…
Resting heart rate varies among different people. Design an experiment and examine whether or not a particular variable (e.g. fitness level, smoking, activity, age, gender) has an effect on heart rate. Begin by making one or more observations. Then formulate a hypothesis that can be tested. Finally, design an experiment to test your hypothesis! You can use yourself and any person you can talk to including family and friends Observations: State one or more observations related to your scientific Observation(s): The Heart rate will change depending on activity Hypothesis: Generate a hypothesis and include a justification for your Hypothesis: Male that are active will have a higher hear rate than females Experiment: Describe your experiment below and state the independent and dependent variables you will be exploring. Explain any specific instructions, e.g. how it will be carried out, how any measurements are to be made, if needed, etc……
We are interested in analysing the effect of the lockout laws introduced in some areas of the Sydney CBD and nearby surrounds on the number of alcohol-related violent incidents. Suppose we have two samples of data on the number of violent incidents in a number of local areas of the Sydney CBD and nearby surrounds. Pubs, hotels and clubs located in a subset of these areas became subject to the lockout laws when they were introduced in 2014. The first sample is from 2010 before the introduction of the lockout laws, and the second is from 2015 after the introduction of the law. The hypothesis we wish to test is that the introduction of the lockout laws reduces violent incidents in the areas in which the lockout laws were put in place. We use a difference-in-difference model on the pooled data from 2010 and 2015. We find the following results: viol_inc hat = 33.21 (5.29) + 12.43lockout (7.01) – 4.19Yr2015 (2.98) – 3.32 (lockout x Yr2015) (1.85) N = 181, R^2 = 0.128 Where: viol_incis the…

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