
Normal Distribution Intro
Presentation
•
Mathematics
•
11th Grade
•
Practice Problem
•
Medium
Standards-aligned
Ibu K
Used 48+ times
FREE Resource
12 Slides • 9 Questions
1
Probability Distributions
This section review the concept of a random variable and probability distribution.
2
Random Variable
Many real-life decisions are made by assigning probabilities to all possible outcomes of a particular situation. For example, a bank's lender specializes in obtaining loan approvals for start-ups. The lender can compute the probability that they will get zero, one, two, etc loans a month.
3
Continuous random variables cannot be counted, but they can be measured. A continuous random variable has an uncountable number of possible outcomes, which is represented by an interval on the real number line.
can take on an infinite number of values
decimal
fraction
Examples include: Weight, height, time, etc.
Continuous Random Variable
A random variable is discrete if it has a finite or countable number of possible outcomes that can be listed.
Discrete Random Variable
Discrete vs Continuous
4
Discrete vs Continuous Examples
5
Probability Distributions
Summary
The distribution of a random variable tells which values a random variable can take on and how often it takes on those values. In doing so, a probability distribution describes a population because when items are sampled from a population, the value observed is the value of a random variable.
-Can be represented as graphs, tables, and formulas
-Can be discrete or continuous
6
7
8
9
10
Multiple Choice
The center of the curve represents what value of a data set?
μ = population mean
δ = population standard deviation
Σ= sum of the data values
Ζ = z or standard scores
11
Multiple Choice
What is Standard Deviation?
A measure of central tendency
A measurement of how much data varies
A measurement of how much data varies from the average
12
Standard Deviation
The standard deviation on a bell curve is what the x axis is going up and down by. On the graph given, the standard deviation is 5 because the graph is going up and down by 5.
13
Fill in the Blanks
14
Empirical Rule / Standard Normal Distribution
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16
Multiple Choice
What percentages of pregnancies last less than 250 days?
2.35%
13.5%
16%
34%
17
Multiple Choice
What percentage of pregnancies are longer than 298 days?
0.15%
2.35%
2.5%
13.5%
18
Multiple Choice
If a pregnancy lasts 282 days, in what percentile is it? (Percentile is a fancy way of saying “the percent below this point.”)
16th
50th
84th
95th
19
Multiple Choice
A grading scale is set up for 1000 students’ test scores. It is assumed that the scores are normally distributed with a mean score of 75 and a standard deviation of 15. Calculate the score that lies -2 standard deviation from the mean.
60
475
45
9500
20
Multiple Choice
What percent of a normal distribution lies outside of ±3 standard deviations?
99.7%
.15%
.3%
100%
21
Multiple Choice
In an Oreo factory, the mean mass of a cookie is given as 40 g. For quality control, the standard deviation is 2 g. If 10 000 cookies were produced, how many cookies are within 2 g of the mean?
6800
9500
3200
9750
Probability Distributions
This section review the concept of a random variable and probability distribution.
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