4 An LED lightbulb manufacturer produces lights with a mean lifespan of 10,000 hours and a standard deviation of 1,000 hours. What are the odds that a randomly selected light bulb willI last more than 13,000 hours ?

The life expectancy of a particular brand of tire is normally distributed with a mean of 60,000 and a standard deviation of 6,000 miles. What is the probability that a randomly selected tire will have a life of at least 54,000 miles

In a recently conducted study, families reported using an average of 70 gallons of gasoline per month with a standard deviation of 8 gallons. If a family is chosen at random, what is the probability that it uses between 61 and 79 gallons of gasoline per month? Assume the data is normally distributed.

An electrical firm manufactures light bulbs that have a length of life that is normallydistributed with mean equal to 800 hours and a standard deviation of 40 hours. Findthe probability that a bulb burns between 778 and 834 hours.

An electrical firm manufactures light bulbs that have a length of life that is normally distributed with mean equal to 800 hours and a standard deviation of 40 hours. Find the probability that a bulb burns between 778 and 834 hours. 5.

A population of values has a mean of 233.8 and standard deviation of 44.4. Find the probability that a sample of 46 values from this population will have a mean between 234.5 and 245.6.

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An energy study found that household use of electricity had a mean of 682 and a standard deviation of 551 ​kilowatt-hours.    Suppose the distribution of energy use was normal. Using a​ table, calculator, or software that can give normal​ probabilities, find the proportion of households with electricity use greater than 1000 ​kilowatt-hours.

A particular fruit's weights are normally distributed, with a mean of 796 grams and a standard deviation of 39 grams. If you pick 23 fruits at random, then 14% of the time, their mean weight will be greater than how many grams?

A particular fruit's weights are normally distributed, with a mean of 492 grams and a standard deviation of 14 grams. If you pick one fruit at random, what is the probability that it will weigh between 479 grams and 511 grams