Suppose that you are responsible for making arrangements for a business convention and that you have been charged with choosing a city for the convention that has the least expensive rooms. You have narrowed your choices to Atlanta and Houston. The table containing samples of prices for rooms in Atlanta and Houston is provided in the Excel Online file below. Construct a spreadsheet to answer the following questions. Because considerable historical data on the prices of rooms in both cities are available, the population standard deviations for the prices can be assumed to be $19.2 in Atlanta and $31.5 in Houston. Open spreadsheet Based on the sample data, can you conclude that the mean price of a hotel room in Atlanta is lower than one in Houston? Use a = .05 and null hypothesis is Ho Atlanta Houston 20. z-value -1.74 p-value 0.4093 (to 2 decimals) (to 4 decimals) Reject the null hypothesis? Reject We can conclude e that the mean price of a hotel room in Atlanta is lower than the mean price of a hotel room in Houston. Check My Work Reset Problem
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the link to the data is given below. please help asap i will upvote!!
https://drive.google.com/file/d/1Ov-VfoR_pU25sj1Kg0LLxTHu6lxv_Wsc/view?usp=sharing
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- The human papillomavirus associated with the development of cervical cancer, genital warts, and some less common cancers. John Hopkins conducted a study to investigate the characteristics of female patients who came to their clinics between 2006 and 2008 to begin the three-shot regimen of vaccinations with the anti-human papillomavirus (HPV) medication Gardasil. A contingency table summarizing the vaccine completions by race for 1222 patients is provided below. 1.State the null and alternative hypotheses. 2.Compute the test statistic. Compute the test statistic. Document how the expected counts and the value of the test statistic are computed and enter them into the table and input box provided. Round the expected counts to 3 decimal places and the test statistic to 2 decimal places. 3.Compute the p-value. Provide the name of the distribution and the parameters used to compute the p-value. Then enter your anwer rounded to 4 decimal places. 4.Interpret the results of the significance…Consider that Roane county, which calculated that the average firm size (in terms of number of employees) is 150 with a median size of 50, while Anderson county calculated an average and median size of 230 and 255 respectively. Officials from both counties are asking their state legislatures for additional funds to accommodate their growing business size. Do you support their requests, why or why not? Also, are there any additional statistics you might ask for and why?In a study conducted by Zogby International for the Democrat and Chronicle, more than 700 New Yorkers were polled to determine whether the New York state government works. Respondents surveyed were asked questions involving pay cuts for state legislators, restrictions on lobbyists, term limits for legislators, and whether state citizens should be able to put matters directly on the state ballot for a vote. The results regarding several proposed reforms had broad support, crossing all demographic and political lines. Suppose that a follow-up survey of 100 individuals who live in the western region of New York was conducted. The party affiliation (Democrat, Independent, Republican) of each individual surveyed was recorded, as well as their responses to the following three questions. Should legislative pay be cut for every day the state budget is late? Yes _________ No _________ Should there be more restrictions on lobbyists? Yes _________ No _________ Should there be term limits…
- A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of the jobs currently done by people.† Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated. Nurse TaxAuditor Fast-FoodWorker 3 4 5 4 5 8 6 4 6 2 4 8 3 6 5 3 3 6 4 5 6 5 3 4 (a) Use ? = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions. State the null and alternative hypotheses. H0: μNurse = μTax auditor = μFast-food worker Ha: μNurse ≠ μTax auditor ≠ μFast-food worker H0: At least two of the population means are equal. Ha: At least two of the population means are different. H0: Not all the population means are equal. Ha: μNurse = μTax auditor = μFast-food worker H0: μNurse = μTax auditor = μFast-food worker Ha:…A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of the jobs currently done by people.† Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated. Nurse TaxAuditor Fast-FoodWorker 4 4 5 4 5 8 5 6 6 2 3 8 2 6 5 3 3 6 4 5 5 6 2 5 (a)Use ? = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions. State the null and alternative hypotheses. 1. H0: μNurse = μTax auditor = μFast-food worker Ha: Not all the population means are equal. 2. H0: Not all the population means are equal. Ha: μNurse = μTax auditor = μFast-food worker 3. H0: At least two of the population means are equal. Ha: At least two of the population means are different. 4. H0: μNurse ≠ μTax auditor ≠ μFast-food worker…The Accountability Office is auditing Star International Airways, which flies numerous charters. The Titan contract specifies that the average flight may be no more than 15 minutes late. A sample of 20 flights reveals the results below: Flights and Their Delay Status Flight Number Status 217 On time 167 20 minutes late 133 17 minutes late 207 64 minutes late 219 On time 457 96 minutes late 371 30 minutes late 612 On time 319 6 minutes late 423 12 minutes late 684 11 minutes late 661 61 minutes late 511 On time 536 On time 493 17 minutes late 382 12 minutes late 115 6 minutes late 107 3 minutes late 19 26 minutes late 123 19 minutes late The newly hired junior analyst, Bob, is requested to write a memo interpreting this information. Bob finds that he needs a good grasp of statistical inference to write the memo. He researches statistical inference and…
- Assuming the market research was done properly and the 40% is representative, how many sales are expected if the publisher attempts to sell to 5,000 homes?In recent years, many states have enacted tougher voter identification laws requiring a government issued photo ID. Proponents claim that these laws are necessary to reduce voter fraud. Opponents claim that voter fraud is rare and that since as many as 11% of eligible voters do not have the required identification, these tougher laws will discourage millions of minorities and low-income Americans from voting. The Washington Post conducted a national poll (July 7-19, 2012) and found that 1558 out of 2064 adults supported the tougher voter ID laws. 1)Construct a 95% confidence interval for the proportion of adults who approve of tougher voter ID laws. Document your work in the space provided below. Document how you computed the margin of error and the confidence interval in the space provided below. Round all numbers to 4 decimal places. 2)Is it likely that three-fourths of adults approve of these new laws?“The US Centers for Disease Control and Prevention said about 72 million Americans—nearly one out of every four of the country’s 304 million residents—are considered obese. Millions more are designated as overweight.” The American trend toward obesity has prompted many physicians to offer weight-loss programs to their patients. [Source: Price, W. T. “Physicians Get into the Weight-Loss Business.” Florida Today, July 7, 2008.] A physician conducted an experimental study to compare the effectiveness of four different weight-loss programs. In the study, 64 obese adults were randomly assigned to the four programs so that each program had 16 adults. The programs lasted for six months. The weights of the subjects were measured before and after the programs, and each subject’s weight loss was computed in pounds. The following table summarizes the results of the study, giving the number of observations and the sample mean and variance of the subjects’ weight loss in each program.…
- The Bureau of Transportation reports on-time performance for airlines at major airports. JetBlue, United, and US Airways share Terminal C and Boston's Logan Airport. The percentage of on-time flights reported for a sample month were 76.8% for JetBlue, 71.5% for United, and 82.2% for US Airways. Assume that 30% of the arriving flights at this terminal are JetBlue flights, 32% are United flights, and 38% are US Airways flights. a. Develop a contingency table (table of joint probabilities and marginal probabilities). b. An announcement is made that Flight 1382 will arrive at Terminal C. What is the probability that the flight will arrive on time? c. Flight 1382 arrives on time. What is the probability that Flight 1382 is operated by US Airways? d. Flight 1382 will not arrive on time. What is the probability that Flight 1382 is operated by United?Amie Jackson, a manager at Sigma travel services, makes every effort to ensure that customers attempting to make online reservations do not have to wait too long to complete the reservation process. The travel website is open for reservations 24 hours a day, and Amie regularly checks the website for the waiting time to maintain consistency in service. She uses the following independently drawn samples of wait time during two peak hours, morning 8 a.m. to 10 a.m. and evening 7 p.m. to 9 p.m., for the analysis. Assume that wait times are normally distributed. Wait Time (in seconds) Morning hours 8 a.m. to 10 a.m. 97 101 115 107 129 98 96 132 118 104 123 128 95 127 112 Evening hours 7 p.m. to 9 p.m. 95 92 89 90 102 96 85 81 84 100 97 80 98 79 99 At the 10% significance level, which of the following is the correct conclusion? Do not reject H0. We conclude that the variance of wait time during morning peak hours differs from that during the evening peak hours. Reject H0. We…Amie Jackson, a manager at Sigma travel services, makes every effort to ensure that customers attempting to make online reservations do not have to wait too long to complete the reservation process. The travel website is open for reservations 24 hours a day, and Amie regularly checks the website for the waiting time to maintain consistency in service. She uses the following independently drawn samples of wait time during two peak hours, morning 8 a.m. to 10 a.m. and evening 7 p.m. to 9 p.m., for the analysis. Assume that wait times are normally distributed. Wait Time (in seconds) Morning hours 8 a.m. to 10 a.m. 97 101 115 107 129 98 96 132 118 104 123 128 95 127 112 Evening hours 7 p.m. to 9 p.m. 95 92 89 90 102 96 85 81 84 100 97 80 98 79 99 A 90% confidence interval is found to be [1.19, 7.36], where the morning is the first group and the evening is the second group. Which of the following is the correct conclusion? Multiple Choice We can conclude the…