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Suppose the price of a gallon of gasoline varies from week to week. Let the random variable X denote the price of a gallon of gasoline for the week. Suppose the expected value of X is $1.468 with a variance of 0.0061. The number of gallons that a gas station sells per week depends on the price of a gallon of gasoline. Let the random variable Y measure the number of gallons (measured in thousands of gallons) that this gas station sells per week. If Y = 340 - 90X, what is the expected value of the random variable Y?
Sketch the distributions involved, and (c) explain your answers to someone who has never had a course in statistics.
How large a sample is needed to estimate the true proportion of covered children with 90% confidence with a confidence interval of .05.
Using an investment game, the study demonstrated that people who inhaled oxytocin were more likely to give their money to a trustee compared to people who inhaled an inactive placebo. For this experimental study, identify the independent variable ..
To estimate the mean of the population from sample information, we need to calculate the standard deviation of the distribution of the sample means around the population mean.
Define, describe and provide an example of the Komologrov-Smirnov distribution. Use MS-Excel (if possible) to solve this problem, also Show all your work in obtaining the answer.
Find the probability that at least one subject experiences headaches. Is it unusual to have at least one of six subjects experience headaches?
Determine the margin of error in estimating the population mean. a sample of 68 college students yields a mean annual income of $3248.
Given the binomial distribution with n = 23 and p = 0.79, would the normal distribution provide the reasonable approximation? Why or why not?
Bob gets tests grades of 86, 92, and 60 He gets an 90 on his final exam. Find the weighted mean if each tests counts for 20%, and the final exam counts for 40% of the final grade.
What value will standard deviation σ x of sampling distribution approach? How do two x distributions for sample size n = 50 and n = 100 compare?
The manager wants to know the probability that any particular cookie will have fewer than 5. What type of probability distribution will most likely be used to analyze the number of chocolate chips per cookie?
Do the data provide significant support for any preferences among the three brands? Test At the .05 level of significance.
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