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1. A recent study of the Greater Los Angeles Taxi Driver Association demonstrated that the average or media tariff that they charge from Hermosa Beach to the International Airport of Los Angeles is $18.00 and the standard deviation is $3.50. We select a sample of 15 tariffs.
a) Which is the probability that the median of the sample is between $17 and $20? b) What we must suppose to do the previous calculation?
2. The average or median quantity of groceries that every client buys in Churchill Grocery Store is $23.50. The population has a positive slant and the standard deviation is not known. Answer the following questions for a sample of 50 clients.
a) If the standard deviation of the sample is $5.00, which is the probability that the average or median of the samples is at least $25.00?
b) Once again, suppose that the standard deviation of the average or median is $5.00. Which is the probability that the average or median of the sample is greater than $22.50 but less than $25.00?
Determine the probability of choosing at random license plate which ends in the even number?
If the standard deviation is $89.46, find the probability that a randomly selected customer spends between $550.67 and $836.94.
At α = 0.01 level of significance, test the hypothesis that these data can be described by a Poisson pdf.
There were 3 defectives in the first batch and 5 in the second. Find a 95% confidence interval for the difference in the proportion of defectives.
What is the possibility that for a arbitrarily selected customer the service time could exceed 3 minutes?
Answer all of these questions using R Commander. Include all graphs, outputs from R Commander.
The sample mean of the number of spots on the 6000 rolls, should be about If this die is rolled 6000 times, the number of times we get a 2 or a 3 should be about
Calculate descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are the most volatile? Calculate the value of beta for each stock.
It is better to use the median rather than the mean for a distribution when:
In each of the following situations, the sampling frame does not match the population, resulting in undercoverage. Give examples of population members that might have been omitted:
The average number of days absent per student per year at West Valley School is 17 days with a standard deviation of 4 days. How many standard deviations from the mean is 6 absent days?
She is interested in testing the null hypothesis that the mean SAT score is the same for each type of schooling using the one-way ANOVA. Some summary statistics for the three groups are given below, followed by the one-way ANOVA table.
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