pred 354 teach. probility & statis. for primary math lesson 7 continuous distributions
TRANSCRIPT
Hints
Suppose that a school band….
90 80 70 60 70 60 50 50 40 30 40 30 2011
100 15 15 15 15 15 15 15 15 15 15 15 15 15
15
One class is not included
Two classes are not included
Three classes are not included Or consisting of only one class
Question
Two boys A and B throw a ball at a target. Suppose that the probability that boy A will hit the target on any throw is 1/3 and the probability that boy B will hit the target on any throw is ¼. Suppose also that boy A throws first and the two boys take turns throwing. Determine the probability that the target will be hit for the first time on the third throw of boy A.
Question
Suppose that a random variable X has discrete distribution with the following probability function:
Find the value of the constant
2 for 1,2,..
( )0 otherwise
cx
f x x
The probability density function (p.d.f.)
Every p.d.f f must satisfy the following two requirements
Ex: Suppose that X has a binomial with n=2 and p=1/2. Find f(x) and
+
-
( ) 0, for all x,
f(x)dx=1
f x
Pr( 1,5)X
( ) ( )f x P X x
Example
EX: Suppose that the p.d.f of a certain random variable X is as follows:
Find the value of a constant c and sketch the p.d.f.Find the value of
Sketch probability distribution function
2 for 1 2( )
0 otherwise
cx xf x
3Pr( )
2X
Example
EX:Let we have a normal distribution with mean 0 and variance 1.
Find
(0 2)
( 2 2)
(0 1,53)
P X
P X
P X
Example
Adult heights form a normal distribution with a mean of 68 inches and standard deviation of 6 inches.
Find the probability of randomly selecting individual from this population who is taller than 80 inches?
The distribution of sample means
The distribution of sample means is the collection of sample means for all the possible random samples of a particular size (n) that can be obtained from a population.
A sampling distribution is a distribution of statistics obtained by selecting all the possible samples of a specific size from a population.
The standard error of
The standard deviation of the distribution of sample means is called the standard error of
1. The standard deviation of the population
2. The sample size
X
X
standard errorX n
Example
A population of scores is normal, with µ=50 and σ=12. Describe the distribution of sample means for samples size n=16 selected from this population
Shape?
Mean?
The distribution of samples will be almost perfectly normal if either one of the following two conditions is satisfied
1. The population from which the samples are selected is normal distribution.
2. The number scores (n) in each sample is relatively large, around 30 or more.
Example
EX: A skewed distribution has µ=60 and σ=8.
a. What is the probability of obtaining a sample mean greater than =62 for a sample of n=4?
b. What is the probability of obtaining a sample mean greater than =62 for a sample of n=64?
X
X
Hypothesis testing
HP is an inferential procedure that uses sample data to evaluate the credibility of a hypothesis about a population.
Using sample data as the basis for making conclusions about population
GOAL: to limit or control the probability of errors.
Hypothesis testing (Steps)
1. State the hypothesis
H0: predicts that the IV has no effect on the DV for the population
H0: Using constructivist method has no effect on the first graders’ math achievement.
H1:predicts that IV will have an effect on the DV for the population
Hypothesis testing
2. Setting the criteria for a decision
The researcher must determine whether the difference between the sample data and the population is the result of the treatment effect or is simply due to sampling error.
He or she must establish criteria (or cutoffs) that define precisely how much difference must exist between the data and the population to justify a decision that H0 is false.
Hypothesis testing
3. Collecting sample data
4. Evaluating the null hypothesis
The researcher compares the data with the null hypothesis (µ) and makes a decision according to the criteria and cutoffs that were established before.
Decision:
reject the null hypothesis
fail to reject the null hypothesis
X
Errors in hypothesis testing
ACTUAL SITUATION
No effect, H0 True
Effect Exists, H0 False
Researcher decision
Reject H0 Type I error Decision correct
Retain H0 Decision correct
Type II error
Errors
Type I error: consists of rejecting the null hypothesis when H0 is actually true.
Type II error: Researcher fails to reject a null hypothesis that is really false.
Alpha level
Level of significance: is a probability value that defines the very unlikely sample outcomes when the null hypothesis is true.
Whenever an experiment produces very unlikely data, we will reject the null hypothesis.
The Alpha level defines the probability of Type I error.
Critical region
It is composed of extreme sample values that are very unlikely to be obtained if the null hypothesis is true.
.05, 1,96
.01, 2,58
z
z
Significance
A psychologist develops a new inventory to measure depression. Using a very large standardization group of normal individuals, the mean score on this test is µ=55 with σ=12 and the scores are normally distributed. To determine if the test is sensitive in detecting those individuals that are severely depressed, a random sample of patients who are described depressed by a threapist is selected and given the test. Presumably, the higher the score on the inventory is, the more depressed the patient is. The data are as follows: 59, 60, 60, 67, 65, 90, 89, 73, 74, 81, 71, 71, 83, 83, 88, 83, 84, 86, 85, 78, 79. Do patients score significantly different on this test? Test with the .01 level of significance for two tails?