The normal distribution based on the graph is:
a) The mean is 91.
b) The standard deviation is 1.
c) 68 % of the data values are between 90 and 92.
e) 99.7 % of the data values are between 87 and 94.
What is the normal distribution?
The standard deviation determines the width of the curve in a normal distribution, which depicts a symmetrical plot of data around its mean value.
From the graph the mean is (x¯) = 91
a) The mean is 91
and Standard Deviation (σ)= (∑(x - x¯)²)
= (70-91)²+ (77-91)² +(84-91)²+(91-91)²+(98-91)²+(105-91)²+(112-91)²
= 1372 / 1371
= 1.0007293946
σ = 1
b) The standard deviation is 1.
if x¯ is the mean and σ is the standard deviation of the distribution, then 68% of the values fall in the range between (x¯−σ) and (x¯+σ).
= (91 -1) (91+1)
= 90 to 92
c) 68 % of the data values are between 90 and 92.
About 95% of the values lie within two standard deviations of the mean, that is, between (x¯−2σ) and (x¯+2σ).
(91-2) to (91+2)
89 to 93
d) 95 % of the data values are between 89 and 93.
About 99.7% of the values lie within three standard deviations of the mean, that is, between (x¯−3σ) and (x¯+3σ) .
(91-3) to (91+3)
87 to 94
e) 99.7 % of the data values are between 87 and 94.
Hence, the normal distribution based on the graph is:
a) The mean is 91.
b) The standard deviation is 1.
c) 68 % of the data values are between 90 and 92.
e) 99.7 % of the data values are between 87 and 94.
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