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The tread life of tires mounted on light-duty trucks follows the normal probability distribution with a mean of 60,000 miles and a standard deviation of 4,000 miles. Suppose we select a sample of 40 tires and use a simulator to determine the tread life. What is the likelihood of finding that the sample mean is between 59,050 and 60,950?
Are you doubtful of any of these data points? if so why does there show to be a linear relation between degree of stenosis and nuber of reactive nuclei?
Determine the test value? Use α = 0.05. (Use the variances unequal formula).
Select a random variable to represent the category. Produce a probability mass function for that variable, and use it to compute the mean, the median and the variance of the data in the data set. Show the probability mass function, both in tabular..
Find a 95% confidence interval for the mean amount of money µ spent at the waiter's tables.
Determine expected cell counts if null hypothesis is true and show them in a two-way table. Determine the chi-square() statistic?
Perform the five-step hypothesis test on the data. - LORA - this is the portion I am responsible for based on using the nonparametric hypothesis testing.
If the population mean is estimated within two days, how many salespeople should be sampled?
Computing the mean and standard deviation for the given data - Find the value for the new standard deviation
Assuming that the population standard deviations are the same, perform a two independent samples t-test on the hypotheses Null Hypothesis: μ1 = μ2, Alternative Hypothesis: μ1 ≠ μ2. What is the test statistic and p-value of this test?
Using standard normal table, show critical value for left-tailed test with α = 0.02.
A coin was flipped 60 times and came up heads 36 times. Determine the critical value you would use to test whether proportion of heads is greater than 0.50 at 10% level of significance?
Compare the percentage found in b) to percentage given by Empirical Rule and Chebyshev's Rule. (Make a table 3 x 3).
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