Standard Deviation/Normal Distribution

Calculate the mean.

• μ = 10

• μ = 10.5

• x̄ = 10.5

• μ = 11

Tags

CCSS.6.SP.B.5C

Calculate the sum of the square of the difference.

(That is, steps 2, 3, and 4 ... Σ(x - μ)²

• 145.5

• 150

• 12

Last step... What is the variance?

• 24.25

• 29.1

• 2

• 4.9

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.3

Now, calculate the standard deviation.

• 12.1

• 21170.25

• 600.25

• 4.9

Tags

CCSS.HSS.ID.A.4

To find Standard Deviation by hand, you start with finding the __________________

• median

• mode

• mean

• deviations

What is the difference between the formulas for population variance and sample variance?

• The sample variance is the square root of the population variance.

• The population variance divides the sum of the squares by n-1, while sample divides by N.

• The population variance divides the sum of the squares by N, while sample divides by n-1.

• There is no difference.

When finding the standard deviation, what do you do with all the deviations?

• add them up

• square them all

• sit on them

• divide them all

After you have the mean, what do you do with it when finding the standard deviation?

• add it to each number in the data set

• subtract it from each number in the data set

• multiply it from each number in the data set

• divide it from each number in the data set

The mean life of a tire is 30,000 km. The standard deviation is 2000 km.

Then, 68% of all tires will have a life between ___________ km and __________ km.

•  28,000 km and 32,000 km.
• 24,000 km and 34,000 km.
• 26,000 km and 34,000 km.
• 27,000 km and 31,000 km.

Tags

CCSS.HSS.ID.A.4

What shape is a normal distribution curve?

• Half curve
• Round curve
• Bell curve
• Square curve

Tags

CCSS.HSS.ID.A.3