standard deviation & the bell curve
DESCRIPTION
Standard Deviation & The Bell Curve. Students will demonstrate understanding of the calculation of standard deviation and construction of a bell curve. Standard Deviation. 1st find the variance for a set of data Variance is the average squared deviation from the mean of a set of data. - PowerPoint PPT PresentationTRANSCRIPT
STUDENTS WILL DEMONSTRATE UNDERSTANDING OF THE
CALCULATION OF STANDARD DEVIATION AND CONSTRUCTION
OF A BELL CURVE
Standard Deviation&
The Bell Curve
Standard Deviation
1st find the variance for a set of dataVariance is the average squared
deviation from the mean of a set of data
Computing the Variance
Grades from recent quiz in AP Biology:96, 96, 93, 90, 88, 86, 86, 84, 80, 70
1st Step: find the mean:
96 + 96 + 92 + 90 + 88 + 86 + 86 + 84 + 80 + 70 ÷ 10
868 ÷ 10 = 86.8 87
Computing the Variance 2nd Step:determine the deviation from the mean
for each grade then square it: (96 – 87)² = (9)² = 81 (96 -87)² = (9)² = 81 (92 – 87)² = (5)² = 25 (90 – 87)² = (3)² = 9 (88 – 87)² = (1)² = 1 (86 – 87)² = (-1)² = 1 (86 – 87)² = (-1)² = 1 (84 – 87)² = (-3)² = 9 (80 – 87)² = (-7)² = 49 (70 – 87)² = (-17)² = 289
Computing the Variance
now add these 10 #’s and ÷ 10 81 + 81 + 25 + 9 + 1 + 1 + 1 + 9 + 49+ 289 ÷ 10
546 ÷ 10 = 54.6 = variance
Formula for Variance
Standard Deviation
shows the variation in dataif data pts are close together the
standard deviation will be smallif data pts are spread out the standard
deviation will be larger
σ or S = symbol used for standard deviation
The Bell Curve
represents a normal distribution of data & is used to show what standard deviation represents
The Bell Curve
1 standard deviation from the mean (μ is symbol for 1 standard deviation) in either direction on horizontal axis represents 68% of the data
The Bell Curve
2 μ = 2 standard deviations from the mean and will include ~95% of your data
3μ = 3 standard deviations form the mean and will include ~99% of your data
Standard Deviation Calculation
Standard Deviation is the square root of the variance
Back to the Example Quiz Grades
Mean = 87Variance = 55
σ = √55 = 7.42 = 7.4
Mean = 87 so (87 -7.4) & (87 + 7.4) is the range of 1 standard deviation
Example Continued
My range for 1 standard deviation is : 79.6 to 94.4 80 to 94
in my class scores 93, 90, 88, 86, 86, 84, 80 are w/in 1 standard deviation of the mean
check: 1 standard deviation is where 68% of data should fall: my class scores: 70%
If data are a sample of larger group:
Use the formula:
for my class data:
S = √variance ÷ n – 1S = √55 ÷ 9 = √6.1 =2.5 which means the
measurements vary by +/- 2.5 from the mean
so for my class data:Mean: 87S = 2.5
1 µ would be (87 – 2.5) thru (87 + 2.5) or 84.5 to 89.5
2 µ would be (87 – 5) thru (87 + 5) 3 µ would be (87 – 7.5) thru (87 – 7.5)
How Can I Use S?
Suppose instead of grades my data described the average height of a certain plant (in cm). We can use S to predict the probability of finding a plant at a particular height:
What is the probability of finding a plant that is 100 cm tall?
100 cm falls in the 3rd standard deviation range
from a bell curve we know that represents ~2% of a population so… There is a 2% chance a plant will grow to 100cm.