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For each of the variables below state what level of measurement it is and is it discrete or continous.
(Example: Height-I/R Continous)
(a) Your height
(b) Your age
(c) Miles per gallon
(d) Number of Children
(e) Number of murders comitted in the US
(f) Your marital status
(g) Your income
(h) The ammount of money you pay on your taxes
(i) The number of books you own
If Larry gets a 70 on a physics test where the mean is 65 and the standard deviation is 5.8, where does he stand in relation to his classmates?
an electrical distribution system consists of 3 subsystems in parallel with the following individual subsystem
On the basis of the sample results, can we conclude that the mean annual lease rate is higher in Hong Kong than in Paris? Develop appropriate null and alternative hypotheses.
An entrepreneur is considering the purchase of a coin-operated laundry. The present owner claims that over the past 5 years, the average daily revenue was $675 with a standard deviation of $75.
Evaluate 2-month moving average and Exponential smoothing by MAD.
the manager of an accounting office at a large hospital was interested in studying the problem of errors in the entry
Does the data prove a significant difference in mean times?
Only 10% of American adults can name the capital of the Czech Republic. On a television game show the three randomly selected contestants are given the question "What is the capital of the Czech Republic?" The probability that none of them will kn..
A nurse at a local hospital is estimating the weight of infants. how large a sample must she select if she desires to be 95% confident that the true mean is within 3 ounces of the sample mean?
The 5-step approach to hypothesis testing and an explanation of your decision to reject or fail to reject the null hypothesis.
How would you go about studying a nonlinear or curvilinear relationship between two variables using contingency tables and chi-square tests? Provide examples from you own professional experience.
State the hypotheses for a right-tailed test. (b) Obtain a test statistic and p-value. (c) Is normality assured? (d) If significant, is the difference also large enough to be important?
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