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B) A random sample of 16 midsized cars tested for fuel consumption gave a mean of 26.4Kilometers per liter with a standard deviation of 2.3 kilometers per liter. i) Assuming that the kilometers per liter given by all midsized 
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A random sample of 16 midsized cars tested for fuel consumption gave a mean of 26.4 kilometers per liter with a standard deviation of 2.3 kilometers per liter. i) Assuming that the kilometers per liter given by all midsized cars 
statistics
A random sample of 16 midsized cars tested for fuel consumption gave a mean of 26.4 kilometers per liter with a standard deviation of 2.3. (a) Assuming that the kilometers per liter given by all midsized cars have a normal 
math
A random sample of 16 midsized cars tested for fuel consumption gave a mean of 26.4 kilometers per liter with a standard deviation of 2.3. (a) Assuming that the kilometers per liter given by all midsized cars have a normal 
Basic Statistics
A random sample of 16 midsized cars tested for fuel consumption gave a mean of 26.4 kilometers per litre with a standard deviation of 2.3 kilometers per litre. (a)Assuming that the kilometers per litre given by all midsized cars 
statistics
A random sample of 16 midsized cars tested for fuel consumption gave a mean of 26.4 kilometers per liter with a standard deviation of 2.3 kilometers per liter. i) Assuming that the kilometers per liter given by all midsized cars 
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Could someone answer this question so I understand it. The answer is 28.0, but i'd like to know how to do it. Thanks Randomly selected cars were weighed, and the highway fuel consumption amounts (in miles/gal) were determined. For 
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The fuel consumption (gallons per hour) of a car traveling at a speed of v miles per hour is c = f(v). 1) What is the meaning of the derivative f ' (v)? answer: rate of change of fuel consumption as miles go up 2) What are its 
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A random sample of 384 people in a midsized city (city one) revealed 112 individuals who worked at more than one job. A second random sample of 432 workers from another midsized city (city two) found 91 people who work at more 
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A random sample of 384 people in a midsized city (city one) revealed 112 individuals who worked at more than one job. A second random sample of 432 workers from another midsized city (city two) found 91 people who work at more