Question

Suppose that the mean GRE score for the USA is 500 and the standard deviation is 75. Use the 68-95-99.7 (Empirical) Rule to determine the percentage of students likely to get a score between 350 and 650? What percentage of students will get a score above 500? What percentage of students will get a score below 275? Is a score below 275 significantly different from the mean? Why or why not?

Answer #1

scores on the GRE are normally distorted with a mean of 570 and
a standard deviation of 92. use the 68-95-99.7 rule to find the
percentage of people taking the test who score between 294 and
846

Scores on the GRE (Graduate Record Examination) are normally
distributed with a mean of 525 and a standard deviation of 98 . Use
the 68 dash 95 dash 99.7 Rule to find the percentage of people
taking the test who score above 623. The percentage of people
taking the test who score above 623 is nothing %.

Scores on the GRE(graduation record examination) are normally
distributed with a mean of 555 and a standard deviation of 135. Use
the 68-95-99.7 Rule to find the oercentage of people taking the
test who score above 690.
The percentage of people taking the test who score above 690
is ___%.

Nationally, the average GRE score is 500 ( = 500) with a
standard deviation of 100 (σ = 100). A group of AAMU students
founded a test prep company and developed a curriculum to improve
test scores. The company piloted its program on 100 students who
earned an average GRE score of 525 (M = 525). Does the new
curriculum have any impact on GRE scores? Use the α = .01
significance level.

The average verbal GRE score is 400 with a standard deviation of
100. Based on this information, answer questions a-c
(a) What verbal GRE score will put a person in the
BOTTOM 53% ?
(b) Using the same mean verbal GRE score and standard deviation,
if 36 students took the GRE, how many people would be expected to
have verbal GRE scores ABOVE 350? Round to the
nearest person.
(c) Graduate school A requires students to have a verbal GRE...

Suppose a normally distributed set of data has a mean of 193 and
a standard deviation of 13. Use the 68-95-99.7 Rule to determine
the percent of scores in the data set expected to be below a score
of 219. Give your answer as a percent and includeas many decimal
places as the 68-95-99.7 rule dictates. (For example, enter 99.7
instead of 0.997.)

The distribution of young woman's height is normally distributed
with a mean of 65 inches and a standard deviation of 2.5 between
what height do 95% of young women fall and what percentage of young
women are shorter and 65
68-95-99.7 rule
The IQ score of seven graders normally distributed with a mean
of 111 standard deviation of 11 what percentage IQ score above 144
in a sample of 75 students in a rural school none had scored above
144...

Suppose baseball batting averages were normally distributed with
mean 250 and standard deviation 15. Using the approximate
EMPIRICAL RULE about what percentage of players
would have averages BETWEEN 220 and 235 ?
Question 6 options:
About 99.7%
About 97.5%
About 95%
About 84%
About 68%
About 47.5%
About 34%
About 20%
About 16%
About 13.5%
About 2.5%
Less than 1%
No Answer within 1% Given
Question 7 (1 point)
Suppose men's heights were normally distributed with mean 180
cm. and...

A set of exam scores is normally distributed with a mean = 80
and standard deviation = 10.
Use the Empirical Rule to complete the following
sentences.
68% of the scores are between _____ and ______.
95% of the scores are between ______ and _______.
99.7% of the scores are between _______ and ________.
Get help: Video

Suppose people's systolic blood pressure were normally
distributed with mean 130 mmHg and standard deviation 5 mmHg. Using
the approximate EMPIRICAL RULE about what
percentage of heights would be BELOW 125 mmHg ?
Question 8 options:
About 99.7%
About 97.5%
About 95%
About 84%
About 68%
About 47.5%
About 34%
About 20%
About 16%
About 13.5%
About 2.5%
Less than 1%
No Answer within 1% Given

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