Question

Use ONLY the Standard Normal Tables (Link ) to answer the following... A set of exam scores is normally distributed and has a mean of 79.8 and a standard deviation of 7.2. What is the probability that a randomly selected score will be between 67 and 76? Answer = (round to four decimal places) Note: Be careful...only use the Z Table here...do not use technology or the 68-95-99.7 Rule. An appliance manufacturer has three factories (A, B, and C) where they produce both Customized and Non-Customized appliances.

The weekly production totals are presented below: A B C Customized 17 18 9 Non-Customized 3 5 14 If one manufactured appliance is chosen at random, find the probability that the appliance was manufactured at Factory 'A' given that it is a non-customized applicance. Answer = (Round your answer to 3 decimal places.) Hint: Notice that the totals are not present, so you'll want to do that first.

The mean daily production of a herd of cows is assumed to be normally distributed with a mean of 38 liters, and standard deviation of 10.9 liters. A) What is the probability that daily production is between 19.7 and 54.8 liters? Do not round until you get your your final answer. Answer= (Round your answer to 4 decimal places.) Warning: Do not use the Z Normal Tables...they may not be accurate enough since WAMAP may look for more accuracy than comes from the table.

Answer #1

Here it is given that distribution is normal with mean=79.8 and standard deviation=7.2

We need to find

As distribution is normal, we can convert x to z

Here it is given the table as below

A | B | C | |

Customized | 17 | 18 | 9 |

Non-Customized | 3 | 5 | 14 |

Now we need to find

Here it is given that distribution is normally distributed with a mean of 38 liters, and standard deviation of 10.9 liters

We need to find

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 36 liters, and standard
deviation of 4.8 liters. A) What is the probability that daily
production is less than 45.7 liters? Answer= (Round your answer to
4 decimal places.) B) What is the probability that daily production
is more than 22.8 liters? Answer= (Round your answer to 4 decimal
places.) Warning: Do not use the Z Normal Tables...they may not be...

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 31 liters, and standard
deviation of 9.3 liters.
A) What is the probability that daily production is
between 44.9 and 55.7 liters? Do not round until
you get your your final answer.
Answer=____________ (Round your answer to 4 decimal places.)
Warning: Do not use the Z Normal Tables...they may not be accurate
enough since WAMAP may look for more accuracy than...

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 30 liters, and standard
deviation of 9.5 liters. A) What is the probability that daily
production is between 20.8 and 57.3 liters? Do not round until you
get your your final answer. Answer= (Round your answer to 4 decimal
places.) Warning: Do not use the Z Normal Tables...they may not be
accurate enough since WAMAP may look for more accuracy than...

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 39 liters, and standard
deviation of 7.6 liters.
A) What is the probability that daily production is less than
29.1 liters? Answer= (Round your answer to 4 decimal places.)
B) What is the probability that daily production is more than
28.7 liters? Answer= (Round your answer to 4 decimal places.)
Warning: Do not use the Z Normal Tables...they may not be...

1. A particular fruit's weights are normally distributed, with a
mean of 601 grams and a standard deviation of 24 grams.
If you pick one fruit at random, what is the probability that it
will weigh between 562 grams and 610 grams.
2. A particular fruit's weights are normally
distributed, with a mean of 784 grams and a standard deviation of 9
grams.
The heaviest 7% of fruits weigh more than how many grams? Give your
answer to the nearest gram....

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 30 liters, and standard
deviation of 10 liters. A) What is the probability that daily
production is between 20.8 and 52 liters? Do not round until you
get your your final answer. Answer= (Round your answer to 4 decimal
places.)

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 35 liters, and standard
deviation of 2.7 liters. A) What is the probability that daily
production is between 29.7 and 42.2 liters? Do not round until you
get your your final answer.
Answer= (Round your answer to 4
decimal places.)

1.Suppose a normally distributed set of data with 6200
observations has a mean of 116 and a standard deviation of 19. Use
the 68-95-99.7 Rule to determine the number of observations in the
data set expected to be above a value of 135. Round your answer to
the nearest whole value.
2.A manufacturer knows that their items have a normally
distributed lifespan, with a mean of 9.5 years, and standard
deviation of 1.6 years.
The 9% of items with the...

A particular fruit's weights are normally distributed, with a
mean of 228 grams and a standard deviation of 13 grams. If you pick
one fruit at random, what is the probability that it will weigh
between 207.2 grams and 218.9 grams?
(If you get two values that are the same, please regenerate the
problem or contact the instructor if you are unable to do so.)
Answer = (Round to four decimal places.)
Warning: Do not use the Z Normal Tables...they may...

The mean daily production of a herd of cows is assumed to be
normally distributed with a mean of 37 liters, and standard
deviation of 4.7 liters. A) What is the probability that daily
production is between 46.7 and 48.9 liters? Do not round until you
get your your final answer.

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 10 minutes ago

asked 27 minutes ago

asked 36 minutes ago

asked 56 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago