The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airports. The maximum possible rating is 10. Suppose a simple random sample of 50 business travelers is selected and each traveler is asked to provide a rating for the Miami International Airport. The ratings obtained from the sample of 50 business travelers follow. 2 6 7 8 9 9 9. 10 10 10 10 4 6. 8. 7 10 9. 6. 5. 6. 8. 4 2. 10 9. 9. 10 10 8. 9. 3 6 9 7 7. 9. 10 9. 9. Develop a 95% confidence interval estimate of the population mean rating for Miami. Round your answers to two decimal places.
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3.
qmds class, cant figure this one out. we usually use excel so if you can give the steps on excel that'd be great.
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- The gasoline price often varies a great deal across different regions across country X. The followingdata show the price per gallon for regular gasoline for a random sample of gasoline service station forthree major brands of gasoline (A, B and C) located in 10 metropolitan areas across the country X.A B C3.77 3.83 3.783.72 3.83 3.873.87 3.85 3.893.76 3.77 3.793.83 3.84 3.873.85 3.84 3.873.93 4.04 3.993.79 3.78 3.793.78 3.84 3.793.81 3.84 3.86 State the null and alternative hypothesis for single factor ANOVA to test for any significant difference in the mean price of gasoline for the three brandsMedical records show a sample population of 1000 people, of those 1000 people, 98% do not have a terminal illness and 2% do have a terminal illness. A Health Insurance company would like try out a new cheaper test for terminal illness. Their results show that 98% of the people that do have a terminal illness test positive, while 1% of the people who do not have a terminal illness test positive for one. A corporation known as Ken’s Kids is concerned about patients that are slipping through the cracks with this new medical testing. If the new medical testing is adopted, what % of the people will be misdiagnosed as not having a terminal illness, but really have one? Assuming a population of 200 million people, how many people that have a terminal illness, given this new testing will never know that they do? (Please show all work , and have a legend for symbols).Depending on the cause of death, racial/ethnic and gender disparities exist on years of potential life lost in the United States. Years of Potential Life Lost (YPLL) can be defined as the number of years lost when death occurs before one’s life expectancy. For this assignment, life expectancy will be set for everyone at 75. For YPLL, a death of a very young person is weighted more than a death of a very old person (Seabert, McKenzie, & Pinger, 2022). AS Instructions: Investigate one cause of death (infant mortality, homicide, suicide, unintentional injuries (such as car accidents, drowning, falling, etc.), pregnancy complications, COVID-19, etc.) in the United States and research the YPLL for racial/ethnic groups and genders. Summarize your findings in your paper and discuss how calculating YPLL can change the way we think about that particular cause of death differently. Provide factual documentation that reinforces your findings from at least three peer reviewed sources…
- In a pizza topping preference poll, people voted for their favorite toppings as follows: Topping Votes Mushrooms 8 Cheese 27 Pepperoni 36 Sausage 16 Bacon 23 Construct a Pareto chart for the data. What is the relative frequency for the preference of sausage? 52.2% 27% 14.5% 16% 57.6%Theoretical Overview Suppose we have a set of data consisting of ordered pairs and we suspect the x and y coordinates are related. It is natural to try to find the best line that fits the data points. If we can find this line, then we can use it to make all sorts of other predictions. In this project, we're going to use several functions to find this line using a technique called least squares regression. The result will be what we call the least squares regression line (or LSRL for short). In order to do this, you'll need to program a statistical computation called the correlation coefficient, denoted by r in statistical symbols: NOTE: Equation is written assuming you start at the value 1. Lists start at index 0. Once you have the correlation coefficient, you use it along with the sample means and sample standard deviations of the x and y-coordinates to compute the slope and y-intercept of your regression line via these formulas: Tasks: In this project, you must read…Question 2: Suppose you have the following scenario: People who use the Palm Tree System are either farmers or experts. They both have name and phone number. The farmer has an address and has the ability to search and buy a product, reserve an appointment and add comments. An expert has a number of years of experience and can answer questions and post advices. An Expert can communicate with many farmers while a farmer can communicated by only one expert. By using Star UML tool, draw a Class diagram for this scenario.
- A large apple farm distributes their apples in boxes that they can source from any one of a number of nearby box manufacturers. Each box manufacturer makes only one box type that holds a specific number of apples - so a box from one manufacturer might hold 24 apples, while a box from another might hold 13. The apple farm can only choose one box supplier each year (a decision they make each year based on price), but they can then order an unlimited number of boxes of that type. The farm likes to be prepared, and creates large batches of apples to pack before the decision about which box type to use has been made. The farm also likes to limit waste, and tries to set the number of apples in these large batches such that they can fill an integer number of boxes perfectly with no apples left over. In creating these batches, although the farm doesn't yet know the exact capacity of the boxes they will buy, they know a list of possible values the box capacity will take. For example, if the…A matchmaking game between 5 couples is being made in a TV show. Based on interviews from each participant, you were able to develop the "happiness" matrix for the possible pairings. Determine the pairings that will create the maximum total happiness for all participants. Liza 4 8 5 Marie Rina 5 9 Paolo Joseph 6 Brian 5 10 Tony 0 1 Chris 9 5 10 0 6 Anna Belle 7 6 4 7 6 0 7 2 0 81.) We want to build a model to predict the weight (in Ibs) of a car. This prediction will be based on multiple features of the car, such as: "Number of Cylinders", "Miles Per Gallon", "Production Year", etc. To train the model, we are given 1000 examples of cars along with the feature values and class for each car. What technique could we use in this case? Multiple Linear Regression Simple Linear Regression O K-Means Clustering K-Nearest Neighbors
- Analysts at a start-up company are analyzing 35 months of sales data. They partition the data (the first 20 observations are assigned to the training set; the most recent 15 months are in the test set). The only independent variable is T (month number, ranging from 1 to 35). Five models (polynomials of order 1 - 5) are fit to the data. The first order is just the linear model; the 2nd order polynomial is the quadratic model; order 3 is the cubic model, etc. In each case the model is fit on the training data, and scored on both the training and test data sets. The results are below. Based on this output, which is the best predictive model? Metrics AE RMSE MAE SSE Metrics AE RMSE MAE SSE Model 2 Model 3 Model 5 Model 4 Model 1 1 <0.000001 0.955978 0.792802 18.277907 1 -1.034550 1.424155 1.208991 30.423248 Training Data Scoring Models (Polynomial of order 1-5) 4 2 <0.000001 0.928791 0.759583 17.253086 3 <0.000001 <0.000001 0.928295 0.855568 0.761951 0.652212 17.234646 14.639962 Test Data…A group of researchers conducted a study to investigate the effectiveness of a new teaching method for a particular subject. They randomly assigned 100 students to two groups: one group received the new teaching method, and the other group received the traditional teaching method. At the end of the semester, they measured the students' performance on a standardized test. The researchers found that the mean score for the group that received the new teaching method was higher than the mean score for the group that received the traditional teaching method. How can the researchers test the hypothesis that the new teaching method is more effective than the traditional teaching method? What statistical test should they use?3- Suppose you have the information of some of chickens farms (F1 , F2 ) as fallow: B D G chicken discount price S chicken Age chicken new Numbers of total farms no in months color chicken price chicken in the farm price S rate 2 F1 3 B 1000 3. F2 4 w 2000 4 F2 B 1500 F1 w 2000 6. F1 3 w ? 1500 F2 B 3000 1- Find the chicken price depending on the chicken age and color as fallow : Chicken age >= 6 months and chicken color B → 3$ Chicken age >= 6 months and chicken color W → 2.5$ chicken age 2$ chicken age 1.5$ 2- Find the discount rate depending on chicken color as fallow : Chicken color B> -3% ,chicken color W >-2% 3- Find the new chicken price for each farm, where new price-old price+(discount rate*old price) 4 Find the total price for each farm. 5- In cell D10 find sum of total price of chicken color W and chicken age (4.8] months