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Question 1 - Ozone, again. Consider again the relationship between the population and ozone level of U.S. cities that you analyzed in Exercise 29.
a) Give a 90% confidence interval for the approximate increase in ozone level associated with each additional million city inhabitants.
b) For the cities studied, the mean population was 1.7 million people. The population of Boston is approximately 0.6 million people. Predict the mean ozone level for cities of that size with an interval in which you have 90% confidence.
Question 2 - Ozone. The Environmental Protection Agency is examining the relationship between the ozone level (in parts per million) and the population (in millions) of U.S. cities. Part of the regression analysis is shown.
a) We suspect that the greater the population of a city, the higher its ozone level. Is the relationship significant? Assuming the conditions for inference are satisfied, test an appropriate hypothesis and state your conclusion in context.
b) Do you think that the population of a city is a useful predictor of ozone level? Use the values of both R2 and s in your explanation.
STAT2000: Quantitative Analysis Group Assignment. Describe the data (e.g., mean, standard deviation, skewness, kurtosis, 1st quartile, median, 3rd quartile, max, and min). We apply multiple regression analysis to estimate the following baseline model
a player of a video game is confronted with a series of 3 opponents and an 72 probability of defeating each opponent.
The weekly demand for TVs at Lowland Appliance is normally distributed with mean 400 and standard deviation 100. Each time an order for TVs is placed.
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Exercise presented a table in which men were classified according to whether or not they had a pierced ear and a tattoo. Of the 424 men with no pierced ear.
Suppose that for a particular flight involving a jumbo-jet with 265 seats, the airline sells 278 tickets. What is the probability that the airline will not have enough seats for all the ticket holders who show for the flight?
A diabetic is interested in determining how the amount of aerobic exercise impacts his blood sugar. When his blood sugar reaches 170 mg/dL.
Reflect on radical expressions and their applications, and then consider how you might apply radical expressions to your daily life. Explain this application,
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