Question

Week 7 Discussion

The **Normal Distribution**, also called the
Gaussian Distribution, is a representation of the distribution of
many different types of data, especially when considering large
amounts of data. Some examples of data that are normally
distributed are IQ scores, heights, blood pressure measurements and
GPAs. The empirical rule, along with the Normal Distribution
provides information about the data that is easy to calculate.
Follow this link to understand the empirical rule:

For Discussion #2, find an example of data that is normally distributed and cite your source. Do not use IQ scores as an example. Then write a Discussion post with the following information:

· provide a brief description of the data

· state the mean

· state the standard deviation

· identify the data values that represent the middle 68% of the normal curve

· identify the data values that represent the middle 95% of the normal curve

· identify the data values that represent the middle 99.7% of the normal curve

Remember to include all of the information in the bullet points above and to cite your source. Please use full sentences, proper grammar and check your spelling.

Answer #1

find an example of data that is normally distributed and cite
your source. Do not use IQ scores as an example. Then
write a Discussion post with the following information:
· provide a brief
description of the data
· state the mean
· state the standard
deviation
· identify the data
values that represent the middle 68% of the normal curve
· identify the data
values that represent the middle 95% of the normal curve
· identify the data
values that represent the middle 99.7% of the...

Find an example of data that is mormally distributed
and cite source. Do not use IQ scores as an example. Then write a
discussion post with the following.
provide a brief description of the data
state mean
state standard Deviation
identify data that represents
68%, 95% and 99.7% of the normal curve.

Another type of distribution is the normal curve or sometimes
called the bell curve. If a distribution has a normal curve, it is
symmetrical with most of the probabilities located near the mean.
Many test scores are based on a bell curve. An example of a bell
curve is population IQ. The mean of the population is 100 with a
standard deviation of 15.
For this week's discussion, do a little research and share another
real life example of a...

This week, we are
studying a type of continuous probability distribution that is
called a normal distribution. One real-life example of a normal
distribution is IQ score. The mean of this distribution is 100 with
a standard deviation of 15.
For this week's
discussion, do a little research and share another real
life example of a normal distribution, including information about
the mean and standard deviation. Post a diagram to share
with the class.

Q1-. A normal distribution has a mean of 15 and a standard
deviation of 2. Find the value that corresponds to the 75th
percentile. Round your answer to two decimal places.
Q2-.Tyrell's SAT math score was in the 64th percentile. If all
SAT math scores are normally distributed with a mean of 500 and a
standard deviation of 100, what is Tyrell's math score? Round your
answer to the nearest whole number.
Q3-.Find the z-score that cuts off an area...

Q1-. A normal distribution has a mean of 15 and a standard
deviation of 2. Find the value that corresponds to the 75th
percentile. Round your answer to two decimal places.
Q2-.Tyrell's SAT math score was in the 64th percentile. If all
SAT math scores are normally distributed with a mean of 500 and a
standard deviation of 100, what is Tyrell's math score? Round your
answer to the nearest whole number.
Q3-.Find the z-score that cuts off an area...

1) Choose from the Following: Gaussian Distribution, Empirical
Rule, Standard Normal, Random Variable, Inverse Normal, Normal
Distribution, Approximation, Standardized, Left Skewed, or
Z-Score.
Same as the Normal Distribution
A statement whose reliability is based
upon observation and experimental evidence; formulas based upon
experience rather than mathematical conclusions.
A [_______ ________] is a quantity
resulting from a random experiment that can assume different values
by chance.
A result that is not exact, but is
accurate enough for some specific purposes.
The...

1.)
A distribution of values is normal with a mean of 240 and a
standard deviation of 8.
Find the interval containing the middle-most 84% of scores:
Enter your answer accurate to 1 decimal place using interval
notation. Example: (2.1,5.6)
Hint: To work this out, 1) sketch the distribution, 2) shade the
middle 84% of the data, 3) label unkown data values on the
horizontal axis just below the upper and lower ends of the shaded
region, 4) calculate the...

what type of distribution is described by the following
information?
Mean= 8.5 Median=9.0 Mode=10
A. (Left) negatively skewed
B. Symmetrical (Normal)
C. Bimodal
D. (Right) positively skewed
The mean IQ score of adults is 100, with a standard deviation
of 15. Use the empirical rule to find the percentage of adults with
scores between 70 and 130. ( Assume the data set has a bell shaped
distribution.).
A. 99.7%
B. 100%
c. 95%
D. 68%
The distances (in miles) driven...

Problem 7
Suppose you have a random variable X that represents the
lifetime of a certain brand of light bulbs. Assume that the
lifetime of light bulbs are approximately normally distributed with
mean 1400 and standard deviation 200 (in other words X ~ N(1400,
2002)).
Answer the following using the standard normal distribution
table:
Approximate the probability of a light bulb lasting less than
1250 hours.
Approximate the probability that a light bulb lasts between 1360
to 1460 hours.
Approximate...

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