Question

**QUESTION 1**

The weight of cans of Salmon is normally distributed with mean μ 9.92 and the standard deviation is σ0.285. We draw a random sample of n= 64 cans. What is the sample Error?

Tip: sample error = σ/sqrt(n) and answer with 4 decimals.

**QUESTION 2**

The weigh of cans of salmon is randomly distributed with mean =13 and standard deviation = 1.826. sample size is 38. What is the z-value if we want to have the sample mean = 11

Don't forget negative if it is negative and 4 decimals.

**QUESTION 3**

The weigh of cans of salmon is randomly distributed with mean =6.05 and standard deviation = .18. The sample size is 36. What is the probability that the mean weight of the sample is less than 5.97?

- decimals

**QUESTION 4**

The weigh of cans of salmon is randomly distributed with mean =6.05 and standard deviation = .18. The sample size is 36. What is the probability that the mean weight of the sample is more than 6.02?

4 decimals

**QUESTION 5**

- The weigh of cans of salmon is randomly distributed with mean =6.05 and standard deviation = .18. The sample size is 36. What is the probability that the mean weight of the sample is between 5.99 and 6.07?

4 decimals

**QUESTION 6**

- The weigh of cans of salmon is randomly distributed with mean =4 and standard deviation = 0.188. The sample size is 78. Find the Xbar value so that only 5% of the mean weight could be more than this Xbar value (case 4).

4 decimals

Answer #1

1)

2)

4)

3)

5)

6)

QUESTION 4 The weigh of cans of salmon is randomly distributed
with mean =6.05 and standard deviation = .18. The sample size is
36. What is the probability that the mean weight of the sample is
more than 6.02? 4 decimals
QUESTION 5 The weigh of cans of salmon is randomly distributed
with mean =6.05 and standard deviation = .18. The sample size is
36. What is the probability that the mean weight of the sample is
between 5.99 and...

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Assume that the weights of spawning Chinook salmon in the
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