
The Standard Normal Curve - AFDA
Presentation
•
Mathematics
•
8th - 12th Grade
•
Medium
Standards-aligned
Jessica DeWitt
Used 11+ times
FREE Resource
7 Slides • 5 Questions
1
The Standard Normal Curve - AFDA
2
Multiple Choice
Why do we use z-scores
because they are cool
to standardize and compare data sets
Ms. Bergan's favorite letter is z
3
Multiple Select
Which are the same on a normal curve?
Mean
Median
Mode
Standard Deviation
Range
4
Multiple Select
Which of the following terms describe a normal curve?
Bell-Shaped
Symmetric
Unimodal
Skew left
Bimodal
5
Multiple Choice
What is the area under a normal curve?
1
99
95
68
6
Multiple Select
Which numbers make up the Empirical Rule?
68%
95%
99.7%
50%
34%
7
What happens when we can't use the Empirical Rule?
The standard normal curve allows us to find probabilities for data that don't happen at even standard deviation.
8
Using Desmos!
1) Go to Desmos
2) Type normaldist(mean, SD)
3) Click the check box
4) Enter the range you want
9
Example 1
When mean is 12 and SD is 1.3, Find P(x<10)
2) Type normaldist(12, 1.3)
3) Click the check box
4) Enter the range you want negative infinity to 10.
10
Example 2
When mean is 12 and SD is 1.3, Find P(x>12.5)
2) Type normaldist(12, 1.3)
3) Click the check box
4) Enter the range you want 12.5 to infinity.
11
Example 3
When mean is 12 and SD is 1.3, Find P(10.5<x<11.3)
2) Type normaldist(12, 1.3)
3) Click the check box
4) Enter the range you want 10.5 to 11.3.
12
Percentile - A Story of Big Baby Heads
From the time you were born, you were ranked in terms of your "percentile."
You might have been in the 50th percentile in height, or the 25th percentile in weight, or even in the 99th percentile for head circumference.
A Percentile ranking tells what percent of the data is BELOW that point. So if you were that baby with a head circumference in the 99th percentile, that means 99% of babies had a smaller head than you.
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