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A leasing firm claims that the mean number of miles driven annually,M , in its leased cars is less than 13020 miles. A random sample of 90 cars leased from this firm had a mean of 12750 annual miles driven. It is known that the population standard deviation of the number of miles driven in cars from this firm is 1140 miles. Is there support for the firm's claim at the 0.1 level of significance?
Perform a one-tailed test. Then fill in the table below.
The null hypothesis is:The alternative hypothesis is:
The type of test statistic: Z, t, chi square or f
The value of the test statistic (round to three decimal places)
The critical value at the 0.1 level of significance (round to three decimal places)
Can we support he leasing firms claim that the mean number of miles driven annually is less than 13020 miles?
Illustrate is the range of values for a coefficient of correlation. Illustrate degree of relationship do values of the correlation coefficient (r)with magnitudes close to 1.00 indicate.
Let z be a standard normal random variable and calculate the following probabilities:
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What is your initial perception of this information? What are other ways, beyond looking at the p-value alone, you could use to try to interpret what this outcome of r(2398) = -.21 tells us about the relationship between length of time taking drug..
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance and (d) standard deviation of probability distribution and (e) interpret results in context of real life situation.
To speed up the process in a blood testing procedure, blood samples from 3 people are combined into one mixture. The mixture will only test negative if all the individual samples are negative.
Develop a regression model for predicting the difference in the asking price and selling price.
A recent study of cardiovascular risk factors reports that 30% of adults meet the criteria of hypertension. if 15 adults are assessed, what is the probabiliy that?
The average could be a poor estimate of the spending of all teenagers given that only teenagers in malls were sampled.
a) What is the purpose of sampling? b) What are some concerns and dangers of sampling?
Which of the following statements is not true of the null hypothesis? A) It is your theory B) It is what you would expect by chance alone C) Assumes things to be equal D) None of the above
Test a hypothesis to see if this proportion has changed since 1985. I have the standard error and a t-score of 1.660. I need the test effect, test statistic and p-values.
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