Question

Give me a real-life example of

- a data distribution that you think is approximately normal, but with a large spread (i.e. large standard deviation). Use Google or other research methods to find the mean and standard deviation to support your claim. What reasons or conditions attribute to the large variation? (Here's my example: income - some people make minimum wage, some people make $134M over 4 years. Think of another example and do some research to find the standard deviation, and answer the question about reasons/conditions.)
- a data distribution that you think is approximately normal, but
with a very small spread (i.e. small standard deviation). Use
Google or other research methods to find the mean and standard
deviation to support your claim. What limitations prevent the data
from a larger variation? (Here's my example: body temperature - too
high or too low and you are dead. Think of other examples and
answer the question on limitation.)
**it has to include the mean and standard deviation**

Answer #1

Give me a real-life example of
a data distribution that you think is approximately normal, but
with a large spread (i.e. large standard deviation). Use Google or
other research methods to find the mean and standard deviation to
support your claim. What reasons or conditions attribute to the
large variation? (Here's my example: income - some people make
minimum wage, some people make $134M over 4 years. Think of another
example and do some research to find the standard deviation,...

(1) a data distribution that you think is approximately normal,
but with a large spread (i.e. large standard deviation). (2) Use
Google or other research methods to find the mean and standard
deviation to support your claim. (3) What reasons or conditions
attribute to the large variation? (Here's my example: income - some
people make minimum wage, some people make $134M over 4 years.
Think of another example and do some research to find the standard
deviation, and answer the...

Can someone tell me if I'm on the right track analyzing my data?
Thank you!
Height (cm)
Wingspan (cm)
Right Cubit (cm)
Sample Size
24
24
24
Mean
170.60
170.65
45.42
Median
171.05
171.90
45.75
Variance
64.17
63.85
15.06
Standard Dev
8.01
7.99
3.88
Q1
165.78
165.80
41.23
Q3
175.75
175.58
49.33
IQR
9.97
9.77
8.10
Coefficient of Variation
4.70%
4.68%
8.55%
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d.f. not in the Student's t table, use
the closest d.f. that is smaller. In
some situations, this choice of d.f. may increase
the P-value by a small amount and therefore produce a
slightly more "conservative" answer.
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differences is approximately normal. Note: For degrees of
freedom d.f. not in the Student's t table, use
the closest d.f. that is smaller. In some
situations, this choice of d.f. may increase the
P-value by a small amount and therefore produce a slightly
more "conservative" answer.
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really worth all that money? One way to answer this question is to
look at row B, the annual...

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approximately normal. Note: For degrees of freedom
d.f. not in the Student's t table, use
the closest d.f. that is smaller. In
some situations, this choice of d.f. may increase
the P-value by a small amount and therefore produce a
slightly more "conservative" answer.
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In this problem, assume that the distribution of differences is
approximately normal. Note: For degrees of freedom
d.f. not in the Student's t table, use
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the P-value by a small amount and therefore produce a
slightly more "conservative" answer.
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