Transcribed Image Text: Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1600 hours and variance 104. What is the approximate probability that a batch of 100 car batteries will contain at least 19 whose lifetimes are less than 1510 hours?

The probability that a part produced by a certain factory''s assembly line will be defective is 0.009. Suppose a sample of 47 parts is taken. The probability that exactly 3 parts will be defective is nothing. (Round your answer to the nearest thousandth.) The probability that no more than 2 parts will be defective is nothing.

Question: The probability that a part produced by a certain factory''s assembly line will be defective is 0.024 . Suppose a sample of 47 parts is taken. Determine the probability that the sample contains exactly 4 defective parts. Assume that the trials are independent and that the number of defective parts in the sample has a binomial distribution.

Question: Among all the computer chips produced by a certain factory, 6 percent are defective. A sample of 400 chips is selected for inspection. (a) What is the probability that this sample contains between 20 and 25 defective chips (including 20 and 25)?use CLT (b) Suppose that each of 40 inspectors collects a sample of 400 chips.

4.25. Among all the computer chips produced by a certain factory, 6 percent are defective. A sample of 400 chips is selected for inspection. (a) What is the probability that this sample contains between 20 and 25 defective chips (including 20 and 25)? (b) Suppose that each of 40 inspectors collects a sample of 400 chips.

Transcribed Image Text: Problem #5: Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1500 hours and variance 104. What is the approximate probability that a batch of 100 car batteries will contain at least 18 whose lifetimes are less than 1403 …

Problem #5: Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1100 …

Suppose that bowling balls produced by a certain manufacturer are supposed to weigh 6 pounds, on average. Assume that the weights are normally distributed with the standard deviation of 0.06 pounds. A. How light should a bowling ball be if it is in the bottom 5% of all balls? Answer: pounds If necessary, round to 2 decimal places. B.

Among all the computer chips produced by a certain factory, 6 percent are defective. A sample of 400 chips is selected for inspection. (a) What is the probability that this sample contains between 20 and 25 defective chips (including 20 and 25)? (b) Suppose that each of 40 inspectors collects a sample of 400 chips.

Problem #5: Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1600 hours and variance 1 0 4. What is the approximate probability that a batch of 100 car batteries will contain at least 20 whose lifetimes are less than 1507 hours?

Suppose that the operating lifetime of a certain type of battery is an exponential random variable with parameter $theta=2$ $($measured in years$)$. Find the probability that a …

The probability that a part produced by a certain factory''s assembly line will be defective is 0.025. Suppose a sample of 130 parts is taken. Find the following probabilities by using the normal curve approximation to the binomial distribution. Use the table of areas under the standard normal curve given below.

A certain cell phone advertises a mean battery life of 32 hours. Suppose the battery life of these phones follows a normal distribution with a standard deviation of …

Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1400 hours and variance 104. What is the approximate probability that a batch of 100 car batteries will contain at least 16 whose lifetimes are less than 1304 hours? answer correct to 4 ...

Suppose that the distribution of the lifetime of a car battery, produced by a certain car company, is well approximated by a normal distribution with a mean of 1.2 times 103 hours and varance 104. What is the approximate probability that a batch of 100 car batteries will contain at least 20 whose lifetimes are less than 1,100 hours?

Solution for Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with ... We can use the normal distribution to model the number of repair cycles in a one-year period. ... Suppose a batch of steel rods produced at a steel plant have a mean length of ...

Step 1/2 a. To find the probability that the can was produced by line 1, we need to divide the number of nonconforming cans produced by line 1 by the total number of nonconforming cans produced by all three lines: P(line 1) = 500 / (500 + 400 + 600) = 500 / 1500 = 1/3 ≈ 0.333 To find the probability that the reason for nonconformance is a crack, we need to …

We assume that the store has effectively infinite stock of phones on hand. Furthermore, let Z be a Bernoulli random variable such that Z = 1 means that the store …

Three machines A, B, and C produce respectively $50%$, $30%$, and $20%$ of the total number of items in a factory. The percentages of the defective output …

Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1100 hours and …

Question: Suppose that the probability that an item produced by a certain machine will be defective is 0.2. A sample of 12 items is chosen. Let X be the number of defectives among the selected 12 items. Find the probability of at most 1 defective item, i.e., P([X lessthanorequalto 1]). Find the probability of at least 1 defective item, i.e., P([X

Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1000 hours and variance 1 0 4. What is the approximate probability that a batch of 100 car batteries will contain at least 19 whose lifetimes are less than 915 hours?

Three machines A, B, and C produce respectively $50$%, $30$%, and $20$% of the total number of items in a factory. The percentages of the defective output of these machines are $3$%, $4$%, and $5$%. If an item is selected at random, find the probability that the item is defective.

Transcribed Image Text: Suppose that a certain factory output is given by the Cobb-Douglas production function Q(K,L) = 60K¹/312/3 units, where K is the level of capital and L the size of the labor force need to maximize the factory''s output. (a) Determine whether the Cobb-Douglas production function is concave, convex, strictly concave, strictly convex or …

Transcribed Image Text: Suppose that the distribution of the lifetime of a car battery produced by a certain car company is well approximated by a normal distribution with a mean of 1900 hours and variance 104. What is the approximate probability that a batch of 100 car batteries will contain at least 20 whose lifetimes are less than 1801 hours?

Question: Suppose that the distribution of the lifetime of a car battery, produced by a certain car company, is well approximated by a normal distribution with a mean of 1.2 …

The probability that a part produced by a certain factory''s assembly line will be defective is 0.025. Suppose a sample of 130 parts is taken. Find the following probability by using the normal curve approximation to the binomial distribution. Use the table of areas under the standard normal curve given below.

The life in hours of a battery is known to be approximately normally distributed. The manufacture claims that the average battery life exceeds 40 hours. A random sample of …

The probability that a part produced by a certain factory''s assembly line will be defective is 0.025. Suppose a sample of 130 parts is taken. Find the following probabilities by using the normal curve approximation to the …

7. Among all the computer chips produced by a certain factory, 6 percent are defective. A sample of 400 chips is selected for inspection. a. What is the probability that this sample contains between 20 and 25 defective chips (including 20 and 25)? b. Suppose that each of 40 inspectors collects a sample of 400 chips.

Answer to Solved A group of battery powered toys produced in a day at | Chegg

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