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Question: Firefighters and fire damage. Someone says, "There is a strong positive correlation between the number of firefighters at a fire and the amount of damage the fire does. So sending lots of firefighters just causes more damage." Explain why this reasoning is wrong.
Of those responding, 64% said parents are placing too little pressure on their children. Assuming that this is an SRS of 1200 U.S. residents over the age of 18, give the 95% margin of error for this estimate.
Chicken Delight claims that 84 percent of its orders are delivered within 10 minutes of the time the order is placed. A sample of 70 orders revealed that 55 were delivered within the promised time.
The manager of the Cottonwood Grille recently selected a random sample of 18 customers and kept track of how long the customers were required to wait.
It is important for qualitative data to be analyzed and the themes that emerge identified so that the data can be presented in a way that is understandable.
The 2011 gross sales of all firms in a large city have a mean of $2.3 million and a standard deviation of $0.6 million Using the Chebysev's theorem, find at least what percentage of firms in this city had 2011 gross sales of $1.1 to $3.5 million.
if you sample 100 people and 20 turn out to be over 65 inches tall, you get $20. Which is better: a sample of size 100 or a sample of size 1,000? Choose one and explain. Does the law of averages relate to the answer you give?
Can you conclude that information in article is untrue? Use 0.05 significance level. Find out p-value and explain its meaning.
The statistical analysis predicted that there would be 104 foxes. Calculate the residual for that data point.
Suppose that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 3 to be 115 or more?
What signified to you on all of the problems that required a binomial distribution that you were to use a binomial distribution? Which problems required a binomial distribution?
The probability of failure of a battery is described by the probability density function f(t) = kt2 for 0 ≤ t ≤ 120 hours. Determine the probability of the batteries failing within 60 hours
Suppose that 51% of the women who gave birth at a certain hospital last year were over 30 years old, and that 39% were unmarried.
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