Hilton hotels in Florida wanted to compare the February 14th room occupancy data for two consecutive years. They took independent random samples of 250 rooms in the previous year and 250 rooms in the current year to determine which ones were occupied. If a sampled room was occupied on February 14th, a "Yes" was entered into Excel. Does the evidence suggest that the true proportion of occupied rooms in previous year on February 14th exceeds the true proportion of occupied rooms in current year at a-.01? Use the excel output above to answer the following question. For the hypothesis stated above, what is the conclusion? O a. There is not significant evidence to conclude the true proportion of occupied rooms on February 14th in the previous year is greater than the true proportion of occupied rooms on February 14th in the current year. O b. There is significant evidence to conclude the true proportion of occupied rooms on February 14th in the previous year is less than the true proportion of occupied rooms on February 14th in the current year. OC. There is not significant evidence to conclude the true proportion of occupied rooms on February 14th in the previous year is less than the true proportion of occupied rooms on February 14th in the current year. O d. There is significant evidence to conclude the true proportion of occupied rooms on February 14th in the previous year is greater than the true proportion of occupied rooms on February 14th in the current year. O e. None of the answers is correct

Levi-Strauss Co manufactures clothing. The quality control department measures weekly values of different suppliers for the percentage difference of waste between the layout on the computer and the actual waste when the clothing is made (called run-up). The data is in the table, and there are some negative values because sometimes the supplier is able to layout the pattern better than the computer. Do the data show that there is a difference between some of the suppliers? Test at the 1% level. Run-ups for Different Plants Making Levi Strauss Clothing Difference Plant Plant 1 11.9 Plant 1 3.9 -10.6 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 1 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 2 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3 Plant 3…

We will refer to the data table below as "Facebook_Survey_Sample". In the first column 1:="yes" and 0:="no" In the "Gender" column 1:="Female" and 0:="Male" VisitsPerWeek Friends 1 45 100 0 0 1 25 60 1 40 80 m 1 40 60 0 0 1 15 40 1 30 25 80 150 90 Facebook 1 1 200 Age 34 65 46 29 21 25 22 18 42 52 Gender 1 0 0 1 1 1 1 1 Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample who have a facebook account.

Dogsled drivers, known as mushers, use several different breeds of dogs to pull their sleds. One proponent of Siberian Huskies believes that sleds pulled by Siberian Huskies are faster than sleds pulled by other breeds. He times 4040 teams of Siberian Huskies on a particular short course, and they have a mean time of 7.77.7 minutes. The mean time on the same course for 4747 teams of other breeds of sled dogs is 6.26.2 minutes. Assume that the times on this course have a population standard deviation of 1.51.5 minutes for teams of Siberian Huskies and 1.61.6 minutes for teams of other breeds of sled dogs. Let Population 1 be sleds pulled by Siberian Huskies and let Population 2 be sleds pulled by other breeds.   Step 1 of 2 :   Construct a 95%95% confidence interval for the true difference between the mean times on this course for teams of Siberian Huskies and teams of other breeds of sled dogs. Round the endpoints of the interval to one decimal place, if necessary.

In 1995, it was determined that 78% of US citizens supported a ban on household aerosols.  Thinking that this proportion may have changed over the past few decades, a sample will be taken to test if a change has occurred. In a SRS of 400 citizens taken this year, 332 supported the ban.  Determine the value of the appropriate test statistic to perform this test. Round to 3 decimal places.

A recent study revealed that the average weight of babies born in the United States is normally distributed with a mean of 7.5 pounds. This number is lower than recent years and so researchers are interested in determining what factors are associated with lower birth weights. One researcher decides to look at the age of the mother to determine if younger mothers have babies that are significantly heavier or lighter than average. To study this the researcher collects data from 87 babies who were born to mothers between the ages of 16 and 18. Only one baby was measured per mother. Twins and other multiple births were excluded. The average weight for these babies was 7.3 pounds with a standard deviation of .6 pounds. Was the average weight of babies of young mothers significantly different than babies in the general population?     No, the difference was not significant     Yes, they were lighter.     Yes, they were heavier

Suppose that Kim is a participant in a study that compares several coaching methods to see how they affect math Scholar Aptitude Test (SAT) scores. The grand mean of math SAT scores for all participants (My) in the study is 550. The group that Kim participated in had a mean math SAT score of 565. Kim’s individual score on the math SAT was 610. What was the estimate residual component (of Kim’s score, that is, the part of Kim’s score that was not related to the coaching method? (Both parts of this question call for specific numerical values as answers). What was that “effect” (ai) component of Kim's score? What pattern in grouped data would make SSwithin = 0? What pattern within data would make SSbetween = 0?

A consumer advocacy group is doing a large study on car rental practices. Among other things, the consumer group would like to do a statistical test regarding the mean monthly mileage, µ, of car rented in the U.S. this year. The consumer group has reason to believe that the mean monthly mileage of cars rented in the U.S. this year is different from last year’s mean, which was 2700 miles. The group plans to do a statistical test regarding the value of µ. It chooses a random sample of monthly mileages and computes the mean of the sample to be 2565 miles and the standard deviation to be 800 miles. What are the null hypothesis  (H0)  and the alternative hypothesis (H1) that should be used for the test? H0: µ is ____                 __? __ H1: µ is ____                 __ ? ___ In the context of this test, what is a Type II error? A Type II error is ?________       ___ the hypothesis that µ is ? _____  ? when, in fact, µ is ? ____ Suppose that the group decided to reject the null…

A psychology student conducted a study on using a chief executive​ officer's facial structure to predict a​ firm's financial performance. The facial​ width-to-height ratio​ (WHR) for each in a sample of 55 CEOs at publicly traded firms was determined. The sample resulted in x=1.74 and s=2.02. The student wants to predict the financial performance of a firm based on the value of the true mean facial WHR of CEOs. The student wants to use the value of μ=2.3. Do you recommend he use this​ value? Conduct a test of hypothesis for μ to help you answer the question. Specify all the elements of the​ test, including H0​, Ha​, test​ statistic, p-value, and your conclusion. Test at α=0.10.   Find the​ p-value.   ​p-value=enter your response here ​(

The mean number of hours that Raphael worked over the past four weeks is 36.75. If he works 39 hours this​ week, what will the mean number of hours be that he will have worked over the​ five-week period?   What is the​ five-week mean?