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An electrical firm that manufactures a certain type of lightbulb wants to estimate its mean life. Assuming that the life of the lightbulb is normally distributed and the standard deviation is known to be 40 hours, how many bulbs should be tested so that we can be 90% confident that the estimate of the mean will not differ from the true mean life by more than 10 hours?
To get the best deal for CD player, Jessica called eight appliance stores and asked the cast of a specific model. The prices she quoted are listed below. Show all work. Compute the standard deviation.
A group of young businesswomen wish to open a high fashion boutique in a vacant store, but only if the average income of households in the area is at least $25,00.A random sample of 9 households showed the following results:
In a field study of mating behaviour in the Mormon cricket, a biologist noted that some females mated successfully while others were rejected by the males before coupling was complete.
Calculate the 95% confidence interval for the rate of positive tuberculin reaction separately for each of the two subpopulation, those with high exposure and those with low exposure.
Does the data prove a significant difference in mean times?
Describe the types of probability -example of classical probability, empirical probability, or subjective probability.
Assume that standard deviation is $3,204 and that 36 four-year institutions are arbitarily selected. Determine the probability that sample mean cost for these 36 schools is less than $25,000.
A local group claims that the police issue more than 60 speeding tickets a day in their area.
You are appraising the quality of diamonds for your importer. A diamond without a clear center (opaque center) shall be downgraded and sold at discount.
A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand 2. Tread wear can vary considerably depending on the type of car
Find at least what percentage of all homeowners in this city pay a monthly mortgage of 865 to 1,675.00.
Which conditional distributions do these statistics refer to, those of y at given catagories of x, or those of x at given categories of y? Set up a table with race of murderers as rows and race of victims as columns, showing the two conditional di..
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