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How to calculate the needed sample with statcrunch? I tried but did not know the weight. Hemoglobin levels in 11-year-old boys vary according to a normal distribution with σ=1.2 g/dL.
a) How large a sample is needed to estimate µ with 95% confidence so the margin of error is no greater than 0.5 g/dL?
You want to buy a $217,000 home. You plan to pay 10% as a down payment, and take out a 30 year loan for the rest.
What are the marginal products of B and G ? If B is on the vertical axis, what is the marginal rate of technical substitution at each point on an isoquant?
airlines sometimes overbook ights. suppose that for a plane with 50 seats 55 passengers have tickets. dene the random
The article "Americans Seek Spiritual Guidance on Web" (San Luis Obispo Tribune, October 12, 2002) reported that 68% of the general population
High School GPA is normally distributed with a mean of 3.06 and a standard deviation of 0.40. The probability of a randomly chosen student having a HS GPA between 3.54 and 3.80 is
This question related to Basic Statistics and it discuss about the most effective and powerful methods in qualitative research. This has been answered in the solution
Sound City sells the ClearTone-400 satellite car radio. For this radio, historical sales records over the last 100 weeks show 3 weeks with no radios sold
Estimate the experimental error using the center points. Compare this to the estimate obtained originally by pooling apparently non significant effects
Elephant Mating and Age. Give an estimated model for describing the number of successful matings as a function of age.
A gives a lower average mileage than mark B? Find the value of p, interpret the result. What assumptions should you take to work on this problem?
You read a report that says, "On the basis of the simple random sample of 100 high school seniors that took the SATM test this year, a confidence interval for µ is found to be 512.00 ± 25.76." What was the confidence level used to calculate this..
How might there be opportunities for improvement in productivity of warehousing? What are some reasons why new warehouses might be prohibitively expensive?
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