Question

1 The weight of cans of fruit is normally distributed with a mean of 1,000 grams and a standard deviation of 25 grams. What percent of the cans weigh 1075 grams or more?

1B. What percentage weighs between 925 and 1075 grams?

2. The weekly mean income of a group of executives is $1000 and
the standard deviation of this group is $75. The distribution is
normal. What percent of the executives have an income of $925 or
less?

2B. What percent of the executive’s income is between $925 and $1100?

Answer #1

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(A) The weight of cans of vegetables is normally distributed
with a mean of 1000 grams and a standard deviation of 50 grams.
What is the probability that the sample mean of weight for 10
randomly selected cans is more than 1040? (B) The age of vehicles
registered in a certain European country is normally distributed
with a mean of 98 months and a standard deviation of 15 months.
What is the probability that the sample mean of age for...

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...

The
weight of oranges are normally distributed with a mean weight of
150 grams and a standard deviation of 10 grams. in a sample of 100
oranges, how many will weigh between 130 and 170 grams?

Birth weight, in grams, of newborn babies are normally
distributed with a mean of 3290 grams and a standard deviation of
520 grams. Find the percentage of newborns that weigh between 3000
and 4000 grams. Consider again the birth weights of newborn babies,
where the mean weight is 3290 grams and the standard deviation is
520 grams. Find the weight, in grams, that would separate the
smallest 4% of weights of newborns from the rest.

a certain tropical fruit has weights that are normally
distributed, with a mean of 521 grams and a standard deviation of
12 grams. If you pick 15 fruits at random, what is the probability
that the mean weight of the sample will be between 520 grams and
521 grams? Round your answer to three decimal places.

A) A particular fruit's weights are normally
distributed, with a mean of 483 grams and a standard deviation of
21 grams.
If you pick one fruit at random, what is the probability that it
will weigh between 479 grams and 485 grams?
B) A particular fruit's weights are normally
distributed, with a mean of 478 grams and a standard deviation of
28 grams.
The heaviest 6% of fruits weigh more than how many grams? Give your
answer to the nearest...

A particular fruit's weights are normally distributed, with a
mean of 710 grams and a standard deviation of 6 grams. If you pick
one fruit at random, what is the probability that it will weigh
between 696 grams and 726 grams

A particular fruit's weights are normally distributed, with a
mean of 435 grams and a standard deviation of 31 grams. If you pick
one fruit at random, what is the probability that it will weigh
between 373 grams and 462 grams

A particular fruit's weights are normally distributed, with a
mean of 584 grams and a standard deviation of 31 grams.
If you pick one fruit at random, what is the probability that it
will weigh between 512 grams and 628 grams

A particular fruit's weights are normally distributed, with a
mean of 732 grams and a standard deviation of 20 grams.
If you pick one fruit at random, what is the probability that it
will weigh between 687 grams and 755 grams

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