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Unit 1 Lessons 1 3 Homework Assignment Darien Younger
Answer the following questions using what you've learned from these lessons. Write your responses in the space provided, a ...
Unit 1 Lessons 1 3 Homework Assignment Darien Younger
Answer the following questions using what you've learned from these lessons. Write your responses in the space provided, and turn the assignment in to ...
Statistics: Find the probability that a randomly selected individual earned less than $24,000.
The average annual salary in Pennsylvania was $25,000 in 1992. Assume that salaries were normally distributed for a certai ...
Statistics: Find the probability that a randomly selected individual earned less than $24,000.
The average annual salary in Pennsylvania was $25,000 in 1992. Assume that salaries were normally distributed for a certain group of wage earners, and the standard deviation of this group was $3,000. Find the probability that a randomly selected individual earned less than $24,000.
West Coast University Week 7 Correlation Does Not Mean Causation Discussion
You may have heard it said before that “correlation does not imply causation.” This can also be called spurious correl ...
West Coast University Week 7 Correlation Does Not Mean Causation Discussion
You may have heard it said before that “correlation does not imply causation.” This can also be called spurious correlation, which is defined as a correlation between two variables that does not result from a direct relationship between them. Instead, it results from the variables’ relationship to other variables. One example is the relationship between crime and ice cream sales. Ice cream sales and crime rates are highly correlated. However, ice cream sales do not cause crime; instead, it is both variables’ relationship to weather and temperature.Do some research and find some interesting, or even funny, examples of spurious correlation. Share, cite your source, and discuss. Why is this an example of spurious correlation? How do you know?Do not use the same example given from another student. Make sure you read your classmates’ posts before submitting your example.Search entries or author
Ashworth College Mathematics Integers in The Real World Project
Instructions
Integers in the Real World
Connecting Integers to Finances
Imagine that you have graduated and obtained ...
Ashworth College Mathematics Integers in The Real World Project
Instructions
Integers in the Real World
Connecting Integers to Finances
Imagine that you have graduated and obtained your ideal job! This project will help you connect what you have learned about integers to personal finances.
In this project, you will:
Learn to describe income using an equation.
Learn to evaluate your income based on given hours per week or a goal amount of money.
Learn to make reasonable conclusions about finances.
Connect the idea of positive and negative integers to credits and debits within accounts.
To complete this project you will:
Complete the Ideal Job Worksheet to guide you in developing your budget. Be sure to show all work!
Complete a report. In the report, you need to present your findings and explain the connections between your calculations and integers. Thoughts to include in the report include: What types of transactions are positive or negative? How can you write an expression to determine your income? How can you write an equation to solve the number of hours you need to work or the amount of money you need to make to reach your financial goals.
Ideal Job Worksheet
http://owl.english.purdue.edu/owl/resource/560/01/
You have landed your ideal job!
In this worksheet you will need to answer each question fully and showing all work. The use your findings to write your 2 page report on your findings
1. Research jobs using your degree and identify a job you would be
interested. Use a website like glassdoor.com to determine the salary for
the job you are interested in. Then Find out the hourly pay amount based
on what is given. Be sure to cite your source in the worksheet and in your
report.
2. Write an equation to express how much money you would make if you
worked h hours. Where I equals income:
3. Would you consider your income to be a positive or a negative integer?
Why?
4. How many hours would you need to work to earn $400 per week (assume
overtime is paid at the regular hourly rate)?
5. Now let’s assume that your car is currently paid off but you have to pay
gas and budget for driving to and from your new job. Find out the local gas
price and write an equation to describe the price of gas for g gallons.
When M is the amount of money you spend on gas each week. Estimate
the mileage to your new job each week and explain what the weekly gas
coast would be for your budget.
6. Would the gas cost be considered a positive or a negative integer? Why?
7. Write an expression that calculates your weekly balance in your account
based on a 40 hour work week and accounting for the gas account. Show
integers as positive or negative.
8. Now determine your monthly gas cost for your trip to work. To do this
assume there are 4 weeks in a month, and be sure to use positive or
negative integers as needed. Show all work?
9. Identify other expenses that you may have such as rent, utilities, etc.
Estimate amounts for these and complete a monthly budget showing your
balance at the end of the month with all income and expenses accounted
for.
10. Use the information you found in items 1-9 to write up your report. Start
your report with an introductory paragraph on posit and negative integers.
Be sure to explain why it is important to identify numbers as positive or
negative when working with a budget. Then in the body of your report
explain your finding in 1-9. Last in a conclusion paragraph explain what
this exercise has taught you about your finances after graduation and how
integers are used in everyday life.
Answer 16 Question Multiple Choice Statistic Assignment
Here the following are the questions, please when answering give brief sentence/reason to why you chose your answer. Show ...
Answer 16 Question Multiple Choice Statistic Assignment
Here the following are the questions, please when answering give brief sentence/reason to why you chose your answer. Show work if there is work that can be shown so I can have a better understanding.- Ignore the boxes due to odd formatting.Question 1Select one answer.10 pointsA school district claims that the normal attendance rate for their schools is 95%. An educational advocate believes that the true figure is lower. She chooses a school day in October and chooses 120 random students from the district. On that day, 12.5% of the students missed school.Can she conduct a hypothesis test to determine whether the proportion of students who attend school is lower than 0.95? Yes, because the sample is random, so it represents the students in the district. Yes, because (120)(0.125) and (120)(0.875) are both at least 10. This means the normal model is a good fit for the sampling distribution. No, because even though (120)(0.95) is at least 10, (120)(0.05) is less than 10. This means the normal model is NOT a good fit for the sampling distribution.Question 2Select one answer.10 pointsStudent debt default: In a CNN article, 7% of college graduates say they don’t plan on ever being able to entirely repay their student loans. Financial aid office staff at a private university conducted a study to determine whether the proportion at their university is higher. They surveyed 500 randomly selected recent college graduates and determined that 12% of them don’t plan on ever being able to entirely repay their student loans.Which of the following are the appropriate null and alternative hypotheses for this research question? H0: p = 0.07Ha: p ≠ 0.07 H0: p = 0.07Ha: p > 0.07 H0: p = 0.12Ha: p ≠ 0.12 H0: p = 0.12Ha: p > 0.12Question 3Select one answer.10 pointsIn survey conducted by Quinnipiac University from October 25-31, 2011, 47% of a sample of 2,294 registered voters approved of the job Barack Obama was doing as president.What is the 99% confidence interval for the proportion of all registered voters who approved of the job Barack Obama was doing as president? (0.460, 0.480) (0.453, 0.487) (0.450, 0.490) (0.443, 0.497)Question 4Select one answer.10 pointsAn interactive poll on the front page of the CNN website in October 2011 asked if readers would consider voting for Herman Cain, a Republican presidential candidate. A statistics student used the information from the poll to calculate the 95% confidence interval. He got (0.53, 0.59). He also conducted a hypothesis test. He found very strong evidence that more than half of voters would consider voting for Herman Cain. To what population do these conclusions apply? They apply to all likely voters. They apply to the population of those who visit the CNN website. The results do not apply to any population because this was a voluntary response sample. They apply to the population of those who visited the CNN website while the poll was on the front page.Question 5Select one answer.10 pointsSample size: A researcher is trying to decide how many people to survey. Which of the following sample sizes will result in a confidence interval with the largest width? 300 700 1000 The width depends on the sample proportion.Question 6Select one answer.10 pointsA tire manufacturer has a 60,000 mile warranty for tread life. The company wants to make sure the average tire lasts longer than 60,000 miles. The manufacturer tests 250 tires and finds the mean life for these tires to be 64,500 miles.What is the alternative hypothesis being tested in this example? The proportion of tires that are worn out after 60,000 miles is greater than 1/2. The mean tire life is equal to 64,500 miles. The mean tire life is less than 60,000 miles. The mean tire life is greater than 60,000 miles.Question 7Select one answer.10 pointsDelta Flights: According to the Bureau of Transportation Statistics, 77.4% of Delta Airline’s flights arrived on time in 2010. The company is trying to improve on-time arrivals. They test the hypotheses H0: p = 0.774 versus Ha: p > 0.774.They calculate a P‑value of 0.03. Using a significance level of 0.05, which of the following is the best explanation for how to use the P‑value to reach a conclusion in this case? Since the P‑value is less than the significance level, we reject the null hypothesis. Since the P‑value is less than the significance level, we fail to reject the null hypothesis. Since the P‑value is less than the significance level, we accept the null hypothesis.Question 8Select one answer.10 pointsGun rights vs. gun control: In a December 2014 report, “For the first time in more than two decades of Pew Research Center surveys, there is more support for gun rights than gun control.” According to a Pew Research survey, 52% of Americans say that protecting gun rights is more important than controlling gun ownership. Gun rights advocates in a conservative city believe that the percentage is higher among city residents.They survey 200 city residents and find that 130 say that protecting gun rights is more important than controlling gun ownership. What is the test statistic?http://www.people-press.org/2014/12/10/growing-pub... Z = -3.68 Z = 3.68 Z = -3.85 Z = 3.85Question 9Select one answer.10 pointsSexual assault in college: In a Washington Post/Kaiser Family Foundation poll conducted from January through March 2015, 46% of adults (ages 17‑26) who attended college during the past 4 years say it’s unclear whether sexual activity when both people have not given explicit agreement is sexual assault. The survey methodology section states that the margin of error is ±3.5% at the 95% confidence level.What does this margin of error tell you about the results of this poll? We are 95% confident that the sample proportion is off by 3.5%. We are confident that 95% of the responses are within 3.5% of the population proportion. We are 95% confident that the population proportion is within 3.5% of the sample proportion of 46%. We are confident that population proportion is within 3.5% of the sample proportion of 46%.Question 10Select one answer.10 pointsIn a study of the nicotine patch, 21% of those who used the patch for 2 months reported no smoking incidents in the following year. The 95% confidence interval is (17.4%, 24.8%).Which of the following is an appropriate interpretation of the 95% confidence interval? There is a 95% probability that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%. We can be 95% confident that the proportion of the sample who would report no smoking incidents in the following year is between 17.4% and 24.8%. 95% of samples will have between 17.4% and 24.8% who would report no smoking incidents in the following year. We can be 95% confident that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%.Question 11Select one answer.10 pointsA 2014 study by the reputable Gallup organization estimates that 34% of U.S. adults are worried about money. We want to know if the proportion is greater this year. We select a random sample of 100 U.S. adults this year and find that 40% are worried about money.After carrying out the hypothesis test for p = 0.34 compared to p > 0.34, we obtain a P‑value of 0.10. Which of the following interpretations of the P‑value is correct? There is a 10% chance that 34% of U.S. adults are worried about money this year. There is a 10% chance that 40% of U.S. adults are worried about money this year. There is a 10% chance that 40% or more of U.S. adults are worried about money this year if 34% were worried about money in 2014. There is a 10% chance that a sample of 100 U.S. adults will have 40% or more worried about money if 34% of the population is worried about money this year.Question 12Select one answer.10 pointsIn a study of a new treatment for cold sores, researchers randomly assigned 2209 patients to use of the new topical medication or a placebo in a double-blind experiment. Cold sores healed more quickly with the new medication and the improvement was statistically significant at the 0.01 level. Results were published the Journal of the American Medical Association in 1997. (http://jama.jamanetwork.com/article.aspx?articleid=415844)Which of the following is an appropriate conclusion? With a large sample, statistically significant results suggest a large improvement over the placebo. With a large sample, statistically significant results may come from a small improvement over the placebo. Regardless of the sample size, a statistically significant result means there is a meaningful difference in cold sore relief.Question 13Select one answer.10 pointsOne population proportion test: Which of the following situations involves testing a claim about a single population proportion? The Centers for Disease Control estimates that 22.8% of Americans (ages 18 to 24) get 6 or less hours of sleep per night. A researcher believes that the figure for college students is higher than this. The mean SAT math score for Florida is 514. An educational researcher is concerned that this average may be lower in rural counties. A Statistics student wants to determine whether there is a difference in the average number of credit hours male and female students are taking. A growing practice among some parents is called “redshirting,” Redshirting means holding a child back a year from starting kindergarten even though he or she is eligible by age. Many states use August 31 as the cutoff for the 5th birthday in order for a child to start kindergarten. A researcher is curious if the proportion of boys with August birthdays who are redshirted is different than the proportion of girls with August birthdays who are redshirted.Question 14Select one answer.10 pointsBirthdays of hockey players: In Malcolm Gladwell’s book Outliers, he shares the work of Canadian psychologist Roger Barnsley, who noticed that a disproportionately high percentage of elite ice-hockey players have birthdays between January and March. A group of statistics students would like to test if this is true for the Los Angeles Kings 2010–2015 rosters (22 out of 57 ). After debating whether this set of hockey players can be viewed as a random sample of hockey players, they decide to run a hypothesis test anyway to practice finding the P‑value. They test the hypotheses H0: p = 0.25 versus Ha: p > 0.25. The P‑value is small enough to reject the null hypothesis.Which of the following is an appropriate conclusion (if we assume the sample is random)? The data provides strong evidence to conclude that the proportion of LA Kings hockey players who have birthdays between January and March is greater than 0.25. The data does not provide strong evidence to conclude that the proportion of LA Kings hockey players who have birthdays between January and March is greater than 0.25. The data provides strong evidence to conclude that the proportion of LA Kings hockey players who have birthdays between January and March is equal to 0.25. The probability that the proportion of LA Kings hockey players who have birthdays between January and March is greater than 0.25. is equal to the level of significance, 0.05.Question 15Select one answer.10 pointsPolice body cameras: A survey of New York State residents asked about police officers having to wear video cameras on duty. The question stated, “Do you agree or disagree that police officers should carry video cameras for the purposes of filming their activities while on duty?” Most (88%) respondents agreed with this statement.Do Californians share the same opinion? A California-based civil rights group conducted a similar survey by randomly selecting 500 California residents, and 425 agreed that police officers should carry video cameras for the purposes of filming their activities while on duty.Conduct a hypothesis test to determine if the proportion of California residents who agree is different from New York residents. Use a 5% significance level to make your decision. Use the applet to determine the P‑value.http://www.futurity.org/police-poll-new-york-94275...Use an applet if necessary.Which of the following is an appropriate conclusion based on the results? The survey provides strong evidence that the proportion of California residents who agree that police officers should carry video cameras for the purposes of filming their activities while on duty is significantly different from the proportion of New York residents. The survey suggests that the proportion of California residents who agree that police officers should carry video cameras for the purposes of filming their activities while on duty is 85%. Of the California residents surveyed, 85% agree that police officers should carry video cameras for the purposes of filming their activities while on duty, but this is not strong enough evidence to conclude that the proportion of California residents who agree is significantly different from the proportion of New York residents. This survey suggests that 88% of California residents surveyed agree that police officers should carry video cameras for the purposes of filming their activities while on duty.Question 16Select one answer.10 pointsGender and College Students: According to the U.S. Department of Education, approximately 57% of students attending colleges in the U.S. are female. A statistics student is curious whether this is true at her college. She tests the hypotheses H0: p = 0.57 versus Ha: p ≠ 0.57.She plans to use a significance level of 0.05. She calculates her test statistic to be 1.42. Using the applet, which is the P‑value? Use an applet. P‑value = 0.078 P‑value = 0.156 P‑value = 0.922 P‑value = 0.05
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Unit 1 Lessons 1 3 Homework Assignment Darien Younger
Answer the following questions using what you've learned from these lessons. Write your responses in the space provided, a ...
Unit 1 Lessons 1 3 Homework Assignment Darien Younger
Answer the following questions using what you've learned from these lessons. Write your responses in the space provided, and turn the assignment in to ...
Statistics: Find the probability that a randomly selected individual earned less than $24,000.
The average annual salary in Pennsylvania was $25,000 in 1992. Assume that salaries were normally distributed for a certai ...
Statistics: Find the probability that a randomly selected individual earned less than $24,000.
The average annual salary in Pennsylvania was $25,000 in 1992. Assume that salaries were normally distributed for a certain group of wage earners, and the standard deviation of this group was $3,000. Find the probability that a randomly selected individual earned less than $24,000.
West Coast University Week 7 Correlation Does Not Mean Causation Discussion
You may have heard it said before that “correlation does not imply causation.” This can also be called spurious correl ...
West Coast University Week 7 Correlation Does Not Mean Causation Discussion
You may have heard it said before that “correlation does not imply causation.” This can also be called spurious correlation, which is defined as a correlation between two variables that does not result from a direct relationship between them. Instead, it results from the variables’ relationship to other variables. One example is the relationship between crime and ice cream sales. Ice cream sales and crime rates are highly correlated. However, ice cream sales do not cause crime; instead, it is both variables’ relationship to weather and temperature.Do some research and find some interesting, or even funny, examples of spurious correlation. Share, cite your source, and discuss. Why is this an example of spurious correlation? How do you know?Do not use the same example given from another student. Make sure you read your classmates’ posts before submitting your example.Search entries or author
Ashworth College Mathematics Integers in The Real World Project
Instructions
Integers in the Real World
Connecting Integers to Finances
Imagine that you have graduated and obtained ...
Ashworth College Mathematics Integers in The Real World Project
Instructions
Integers in the Real World
Connecting Integers to Finances
Imagine that you have graduated and obtained your ideal job! This project will help you connect what you have learned about integers to personal finances.
In this project, you will:
Learn to describe income using an equation.
Learn to evaluate your income based on given hours per week or a goal amount of money.
Learn to make reasonable conclusions about finances.
Connect the idea of positive and negative integers to credits and debits within accounts.
To complete this project you will:
Complete the Ideal Job Worksheet to guide you in developing your budget. Be sure to show all work!
Complete a report. In the report, you need to present your findings and explain the connections between your calculations and integers. Thoughts to include in the report include: What types of transactions are positive or negative? How can you write an expression to determine your income? How can you write an equation to solve the number of hours you need to work or the amount of money you need to make to reach your financial goals.
Ideal Job Worksheet
http://owl.english.purdue.edu/owl/resource/560/01/
You have landed your ideal job!
In this worksheet you will need to answer each question fully and showing all work. The use your findings to write your 2 page report on your findings
1. Research jobs using your degree and identify a job you would be
interested. Use a website like glassdoor.com to determine the salary for
the job you are interested in. Then Find out the hourly pay amount based
on what is given. Be sure to cite your source in the worksheet and in your
report.
2. Write an equation to express how much money you would make if you
worked h hours. Where I equals income:
3. Would you consider your income to be a positive or a negative integer?
Why?
4. How many hours would you need to work to earn $400 per week (assume
overtime is paid at the regular hourly rate)?
5. Now let’s assume that your car is currently paid off but you have to pay
gas and budget for driving to and from your new job. Find out the local gas
price and write an equation to describe the price of gas for g gallons.
When M is the amount of money you spend on gas each week. Estimate
the mileage to your new job each week and explain what the weekly gas
coast would be for your budget.
6. Would the gas cost be considered a positive or a negative integer? Why?
7. Write an expression that calculates your weekly balance in your account
based on a 40 hour work week and accounting for the gas account. Show
integers as positive or negative.
8. Now determine your monthly gas cost for your trip to work. To do this
assume there are 4 weeks in a month, and be sure to use positive or
negative integers as needed. Show all work?
9. Identify other expenses that you may have such as rent, utilities, etc.
Estimate amounts for these and complete a monthly budget showing your
balance at the end of the month with all income and expenses accounted
for.
10. Use the information you found in items 1-9 to write up your report. Start
your report with an introductory paragraph on posit and negative integers.
Be sure to explain why it is important to identify numbers as positive or
negative when working with a budget. Then in the body of your report
explain your finding in 1-9. Last in a conclusion paragraph explain what
this exercise has taught you about your finances after graduation and how
integers are used in everyday life.
Answer 16 Question Multiple Choice Statistic Assignment
Here the following are the questions, please when answering give brief sentence/reason to why you chose your answer. Show ...
Answer 16 Question Multiple Choice Statistic Assignment
Here the following are the questions, please when answering give brief sentence/reason to why you chose your answer. Show work if there is work that can be shown so I can have a better understanding.- Ignore the boxes due to odd formatting.Question 1Select one answer.10 pointsA school district claims that the normal attendance rate for their schools is 95%. An educational advocate believes that the true figure is lower. She chooses a school day in October and chooses 120 random students from the district. On that day, 12.5% of the students missed school.Can she conduct a hypothesis test to determine whether the proportion of students who attend school is lower than 0.95? Yes, because the sample is random, so it represents the students in the district. Yes, because (120)(0.125) and (120)(0.875) are both at least 10. This means the normal model is a good fit for the sampling distribution. No, because even though (120)(0.95) is at least 10, (120)(0.05) is less than 10. This means the normal model is NOT a good fit for the sampling distribution.Question 2Select one answer.10 pointsStudent debt default: In a CNN article, 7% of college graduates say they don’t plan on ever being able to entirely repay their student loans. Financial aid office staff at a private university conducted a study to determine whether the proportion at their university is higher. They surveyed 500 randomly selected recent college graduates and determined that 12% of them don’t plan on ever being able to entirely repay their student loans.Which of the following are the appropriate null and alternative hypotheses for this research question? H0: p = 0.07Ha: p ≠ 0.07 H0: p = 0.07Ha: p > 0.07 H0: p = 0.12Ha: p ≠ 0.12 H0: p = 0.12Ha: p > 0.12Question 3Select one answer.10 pointsIn survey conducted by Quinnipiac University from October 25-31, 2011, 47% of a sample of 2,294 registered voters approved of the job Barack Obama was doing as president.What is the 99% confidence interval for the proportion of all registered voters who approved of the job Barack Obama was doing as president? (0.460, 0.480) (0.453, 0.487) (0.450, 0.490) (0.443, 0.497)Question 4Select one answer.10 pointsAn interactive poll on the front page of the CNN website in October 2011 asked if readers would consider voting for Herman Cain, a Republican presidential candidate. A statistics student used the information from the poll to calculate the 95% confidence interval. He got (0.53, 0.59). He also conducted a hypothesis test. He found very strong evidence that more than half of voters would consider voting for Herman Cain. To what population do these conclusions apply? They apply to all likely voters. They apply to the population of those who visit the CNN website. The results do not apply to any population because this was a voluntary response sample. They apply to the population of those who visited the CNN website while the poll was on the front page.Question 5Select one answer.10 pointsSample size: A researcher is trying to decide how many people to survey. Which of the following sample sizes will result in a confidence interval with the largest width? 300 700 1000 The width depends on the sample proportion.Question 6Select one answer.10 pointsA tire manufacturer has a 60,000 mile warranty for tread life. The company wants to make sure the average tire lasts longer than 60,000 miles. The manufacturer tests 250 tires and finds the mean life for these tires to be 64,500 miles.What is the alternative hypothesis being tested in this example? The proportion of tires that are worn out after 60,000 miles is greater than 1/2. The mean tire life is equal to 64,500 miles. The mean tire life is less than 60,000 miles. The mean tire life is greater than 60,000 miles.Question 7Select one answer.10 pointsDelta Flights: According to the Bureau of Transportation Statistics, 77.4% of Delta Airline’s flights arrived on time in 2010. The company is trying to improve on-time arrivals. They test the hypotheses H0: p = 0.774 versus Ha: p > 0.774.They calculate a P‑value of 0.03. Using a significance level of 0.05, which of the following is the best explanation for how to use the P‑value to reach a conclusion in this case? Since the P‑value is less than the significance level, we reject the null hypothesis. Since the P‑value is less than the significance level, we fail to reject the null hypothesis. Since the P‑value is less than the significance level, we accept the null hypothesis.Question 8Select one answer.10 pointsGun rights vs. gun control: In a December 2014 report, “For the first time in more than two decades of Pew Research Center surveys, there is more support for gun rights than gun control.” According to a Pew Research survey, 52% of Americans say that protecting gun rights is more important than controlling gun ownership. Gun rights advocates in a conservative city believe that the percentage is higher among city residents.They survey 200 city residents and find that 130 say that protecting gun rights is more important than controlling gun ownership. What is the test statistic?http://www.people-press.org/2014/12/10/growing-pub... Z = -3.68 Z = 3.68 Z = -3.85 Z = 3.85Question 9Select one answer.10 pointsSexual assault in college: In a Washington Post/Kaiser Family Foundation poll conducted from January through March 2015, 46% of adults (ages 17‑26) who attended college during the past 4 years say it’s unclear whether sexual activity when both people have not given explicit agreement is sexual assault. The survey methodology section states that the margin of error is ±3.5% at the 95% confidence level.What does this margin of error tell you about the results of this poll? We are 95% confident that the sample proportion is off by 3.5%. We are confident that 95% of the responses are within 3.5% of the population proportion. We are 95% confident that the population proportion is within 3.5% of the sample proportion of 46%. We are confident that population proportion is within 3.5% of the sample proportion of 46%.Question 10Select one answer.10 pointsIn a study of the nicotine patch, 21% of those who used the patch for 2 months reported no smoking incidents in the following year. The 95% confidence interval is (17.4%, 24.8%).Which of the following is an appropriate interpretation of the 95% confidence interval? There is a 95% probability that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%. We can be 95% confident that the proportion of the sample who would report no smoking incidents in the following year is between 17.4% and 24.8%. 95% of samples will have between 17.4% and 24.8% who would report no smoking incidents in the following year. We can be 95% confident that the proportion of all nicotine patch users who would report no smoking incidents in the following year is between 17.4% and 24.8%.Question 11Select one answer.10 pointsA 2014 study by the reputable Gallup organization estimates that 34% of U.S. adults are worried about money. We want to know if the proportion is greater this year. We select a random sample of 100 U.S. adults this year and find that 40% are worried about money.After carrying out the hypothesis test for p = 0.34 compared to p > 0.34, we obtain a P‑value of 0.10. Which of the following interpretations of the P‑value is correct? There is a 10% chance that 34% of U.S. adults are worried about money this year. There is a 10% chance that 40% of U.S. adults are worried about money this year. There is a 10% chance that 40% or more of U.S. adults are worried about money this year if 34% were worried about money in 2014. There is a 10% chance that a sample of 100 U.S. adults will have 40% or more worried about money if 34% of the population is worried about money this year.Question 12Select one answer.10 pointsIn a study of a new treatment for cold sores, researchers randomly assigned 2209 patients to use of the new topical medication or a placebo in a double-blind experiment. Cold sores healed more quickly with the new medication and the improvement was statistically significant at the 0.01 level. Results were published the Journal of the American Medical Association in 1997. (http://jama.jamanetwork.com/article.aspx?articleid=415844)Which of the following is an appropriate conclusion? With a large sample, statistically significant results suggest a large improvement over the placebo. With a large sample, statistically significant results may come from a small improvement over the placebo. Regardless of the sample size, a statistically significant result means there is a meaningful difference in cold sore relief.Question 13Select one answer.10 pointsOne population proportion test: Which of the following situations involves testing a claim about a single population proportion? The Centers for Disease Control estimates that 22.8% of Americans (ages 18 to 24) get 6 or less hours of sleep per night. A researcher believes that the figure for college students is higher than this. The mean SAT math score for Florida is 514. An educational researcher is concerned that this average may be lower in rural counties. A Statistics student wants to determine whether there is a difference in the average number of credit hours male and female students are taking. A growing practice among some parents is called “redshirting,” Redshirting means holding a child back a year from starting kindergarten even though he or she is eligible by age. Many states use August 31 as the cutoff for the 5th birthday in order for a child to start kindergarten. A researcher is curious if the proportion of boys with August birthdays who are redshirted is different than the proportion of girls with August birthdays who are redshirted.Question 14Select one answer.10 pointsBirthdays of hockey players: In Malcolm Gladwell’s book Outliers, he shares the work of Canadian psychologist Roger Barnsley, who noticed that a disproportionately high percentage of elite ice-hockey players have birthdays between January and March. A group of statistics students would like to test if this is true for the Los Angeles Kings 2010–2015 rosters (22 out of 57 ). After debating whether this set of hockey players can be viewed as a random sample of hockey players, they decide to run a hypothesis test anyway to practice finding the P‑value. They test the hypotheses H0: p = 0.25 versus Ha: p > 0.25. The P‑value is small enough to reject the null hypothesis.Which of the following is an appropriate conclusion (if we assume the sample is random)? The data provides strong evidence to conclude that the proportion of LA Kings hockey players who have birthdays between January and March is greater than 0.25. The data does not provide strong evidence to conclude that the proportion of LA Kings hockey players who have birthdays between January and March is greater than 0.25. The data provides strong evidence to conclude that the proportion of LA Kings hockey players who have birthdays between January and March is equal to 0.25. The probability that the proportion of LA Kings hockey players who have birthdays between January and March is greater than 0.25. is equal to the level of significance, 0.05.Question 15Select one answer.10 pointsPolice body cameras: A survey of New York State residents asked about police officers having to wear video cameras on duty. The question stated, “Do you agree or disagree that police officers should carry video cameras for the purposes of filming their activities while on duty?” Most (88%) respondents agreed with this statement.Do Californians share the same opinion? A California-based civil rights group conducted a similar survey by randomly selecting 500 California residents, and 425 agreed that police officers should carry video cameras for the purposes of filming their activities while on duty.Conduct a hypothesis test to determine if the proportion of California residents who agree is different from New York residents. Use a 5% significance level to make your decision. Use the applet to determine the P‑value.http://www.futurity.org/police-poll-new-york-94275...Use an applet if necessary.Which of the following is an appropriate conclusion based on the results? The survey provides strong evidence that the proportion of California residents who agree that police officers should carry video cameras for the purposes of filming their activities while on duty is significantly different from the proportion of New York residents. The survey suggests that the proportion of California residents who agree that police officers should carry video cameras for the purposes of filming their activities while on duty is 85%. Of the California residents surveyed, 85% agree that police officers should carry video cameras for the purposes of filming their activities while on duty, but this is not strong enough evidence to conclude that the proportion of California residents who agree is significantly different from the proportion of New York residents. This survey suggests that 88% of California residents surveyed agree that police officers should carry video cameras for the purposes of filming their activities while on duty.Question 16Select one answer.10 pointsGender and College Students: According to the U.S. Department of Education, approximately 57% of students attending colleges in the U.S. are female. A statistics student is curious whether this is true at her college. She tests the hypotheses H0: p = 0.57 versus Ha: p ≠ 0.57.She plans to use a significance level of 0.05. She calculates her test statistic to be 1.42. Using the applet, which is the P‑value? Use an applet. P‑value = 0.078 P‑value = 0.156 P‑value = 0.922 P‑value = 0.05
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