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A researcher believes that the retail price of new identical automobiles differs between an Urban location and a Suburban location. A random sample of 25 cars sold at Urban locations gave a sample mean of $16,496 and a sample standard deviation of $1,981. A random sample of 20 sales at Suburban locations found a sample mean of $17, 236 and a sample standard deviation of $1,974. Test the researcher's belief at a 5% level of significance. What is your conclusion
let z be a random variable with a standard normal distribution and let x be a random variable with normal distribution
create the confidence interval for sigma2 using the data from problem 1 with 005. the endpoints of the confidence
Find the probability that follows Binomial distribution.
we randomly choose letters one at a time without replacement from the word choose until both os have been obtained.
an instant lottery scratch off game offers a 0.04 probability of winning on any one play. plays are independent of
Mean = 14.2, s² = 5.92 and sum of X squared EX² = 2941.60. What can be concluded about age differences in problem solving ability?
Compute the following .r = correlation between x and y = - 0.7 = mean of the values of x = 50.25 = mean of the values of y = 31.77 = standard deviation of the values of x = 15.85 = standard deviation of the values of y = 1.76 The slope of the leas..
Use this information to construct a probability table, and then calculate each of the following probabilities: P(foreign car)
Suppose x has a uniform probability distribution. Is the amount dispensed by the machine a discrete or a continuous random variable? Find the mean and standard deviation for the distribution.
suppose xis a random variable with mean -5 and variance 2. what can you say about the probability that x deviates from
At 95% confidence using the critical value approach, determine if the proportion of females in the company is significantly less than 50%.
Use the expected value approach to decide whether to market the new product. Because of the high dollar values involved, especially the possibility of a $100,000 loss.
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