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 34 teams of Siberian Huskies on a particular short course, and they have a mean time of 7.6 minutes. The mean time on the same course for 50 teams of other breeds of sled dogs is 5.3 minutes. Assume that the times on this course have a population standard deviation of 1.1 minutes for teams of Siberian Huskies and 1.6 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 % 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. nswer E Tables E Keypad Keyboard Shortcut Lower Endpoint = Upper Endpoint =

Before every​ flight, the pilot must verify that the total weight of the load is less than the maximum allowable load for the aircraft. The aircraft can carry 38 ​passengers, and a flight has fuel and baggage that allows for a total passenger load of 6,080 lb. The pilot sees that the plane is full and all passengers are men. The aircraft will be overloaded if the mean weight of the passengers is greater than 6,080 lb38=160 lb. What is the probability that the aircraft is​ overloaded? Should the pilot take any action to correct for an overloaded​ aircraft? Assume that weights of men are normally distributed with a mean of 176.9 lb and a standard deviation of 37. The probability is approximately nothing. ​(Round to four decimal places as​ needed.) Should the pilot take any action to correct for an overloaded​ aircraft?     A. Yes. Because the probability is​ high, the pilot should take action by somehow reducing the weight of the aircraft.   B. No. Because the probability…

A researcher at a college hears students complain that they don’t have enough time to in their week to study. He believes that the students at the college are spending much more time on Facebook, Twitter, and Instagram than they did three years ago. He knows that three years ago, the mean number of hours per week students spent of social media was 15.1 hours. He takes a sample of 16 students and finds they spend 23.3 hours per week on social media with SS=240.Measure effect size using percentage of variance

The owner of a chain of mini-markets has two stores, Store 1 and Store 2, in one city. She recently added a breakfast station in Store 1 and wants to determine if the mean daily sales of Store 1 is greater than the mean daily sales of Store 2. After choosing 12 days at random, she records the sales (in dollars) at Store 1 for these days. Then, she records the sales at Store 2 for these same days. The data and the differences (Store 1 minus Store 2) are shown in the table below. Day 1 2 3 4 5 6 7 8. 9. 10 11 12 Store 1 951 547 437 682 547 729 488 776 461 815 859 518 Store 2 989 599 500 680 451 528 452 741 446 758 960. 421 Difference (Store 1 − Store 2) −38 −52 63 2 96 201. 36 35 15 57 −101 97 Send data to calculator Send data to Excel (a)Are the two samples of daily sales amounts independent or paired…

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The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1- year-old Golden Comets is 4.5 eggs/week. Sarah has 39 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 4.7 eggs/day.

The Energy Star rating system is an energy efficiency program run by the U.S. Environmental Protection Agency (EPA)Energy Star certified appliances, such as televisions and refrigerators, are rated in regard to their average energy consumption per year. A certain brand of Energy Star certified refrigerator is stated to have a mean yearly electricity cost of $99. A consumer advocacy organization believes that this claim is wrong, that the energy consumption of this particular refrigerator is different than $99 per year. The group collected a random sample of 16 refrigerators of the model in question and had each lab-tested for electricity consumption. The yearly energy consumption of each is given below. 96.7697.898.67 95.52 97.8 95.896.9299.57 97.64 95.46 98.03 96.42 99.32 98.99 95.2197.12 Using alpha = 0.1 , test the hypothesis that the average yearly electricity consumption of the refrigerator in question is different than $99 per year. Assume that the distribution of all electricity…

Two popular brands of tires for tractor-trailers are the Puma and the Eternal. Salma is a buyer for a major shipping company and wants to determine if there is any difference between the two brands of tire in the mean distance (in thousands of km) driven on them before they need to be replaced. In the company's testing lab, Salma tests a random sample of 14 Puma tires and a random sample of 15 Eternal tires. (These samples are chosen independently.) For the Puma tires, the sample mean distance (in thousands of km) until they would need to be replaced is 54.71 with a sample variance of 5.95. For the Eternal tires, the sample mean distance (in km) until they would need to be replaced is 50.21 with a sample variance of 37.75. Assume that the two populations of distances driven are approximately normally distributed. Can Salma conclude, at the 0.05 level of significance, that there is a difference between the population mean of the distances (in thousands of km) driven on Puma tires before…

A chess analyst is interested in whether the time that it takes to make a move is significantly different among chess players. He records the time in seconds for three chess players: Fabiano Caruana, Sergey Karjakin, and Wesley So during world chess candidates’ tournament 2018. You are given: Sum of Squares Within Groups (SSW) = 39021.57, Total Sum of Squares = 42152.88. Calculate the Mean Sum of Squares Between Groups.

A running coach wants to know if participating in weekly running clubs significantly improves the time to run a mile. The running coach collects mean mile times for 42 runners who participate in weekly running clubs with 54 runners who do not run in clubs. The running coach measures times in January and June of the same year. All times are in seconds, and the runners all started with mile times between 8 minutes (480 seconds) and 9 minutes (540 seconds). Here are the results: (table)   The running coach conducts a hypothesis test and finds that running club members significantly improve their running times with a p-value < 0.05. The running coach wants to calculate how many seconds change to expect for runners who participate in running clubs. What is the best method for the running coach to use to determine how many seconds change to expect for runners who participate in running clubs?  Use the difference in sample means (530 − 520) in a hypothesis test for a difference in two…