collect 9.1 coop. asmnt. &…

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Collect 9.1 Coop. Asmnt. &…

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Collect 9.1 Coop. Asmnt. &…. 9.10. ____________ bias and _______________ variability. ____________ bias and _______________ variability. ____________ bias and _______________ variability. ____________ bias and _______________ variability. 9.2 Sample Proportions. Consider this…. - PowerPoint PPT Presentation

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Page 1: Collect 9.1 Coop. Asmnt. &…

Collect 9.1 Coop. Asmnt. &…

Page 2: Collect 9.1 Coop. Asmnt. &…

9.10

____________ bias and _______________ variability

Page 3: Collect 9.1 Coop. Asmnt. &…

____________ bias and _______________ variability

Page 4: Collect 9.1 Coop. Asmnt. &…

____________ bias and _______________ variability

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____________ bias and _______________ variability

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9.2 Sample Proportions

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Consider this…A polling organization asks a SRS of 1500 first-year college students whether they applied for admission to any other college. In fact, 35% of all first-year students applied to colleges besides the one they are attending. What is the probability that the random sample of 1500 students will give a result within 2 percentage points of this true value?

•What do you need to know in order to answer this question?

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Sampling Distributions Activity

• Rice University Sampling Distribution Applet– Choose a couple of different sample sizes

• Note: the mean and standard deviation for the sampling distribution are algebraically derived from what we know about the mean and standard deviation of a binomial random variable.

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• P-hat = (Count of “successes” in sample)/(size of sample) = X/n

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More formulas and their construction

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“Rule of Thumb 2” gives exactly the same conditions for using a Normal approximation to the sampling distribution of p-hat as for a Normal approximation to the binomial. This should not be a surprise as proportions are just another way to look at counts.

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Let’s work through Example 9.7P 584

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Step 1:

Step 2:

Step 3:

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WORD CHOICE: “We see that almost 90% of all samples will give a result within 2 percentage points of the truth of the population” (p 585).

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Ex 9.8P 586

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Step 1:

Step 2:

Step 3:

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Fig 9.14

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Another example

• Suppose a student taking a 100 question multiple choice final (with 5 possible answers each). This student didn’t study and must guess on every question. What is the probability that this student will get at least 30% right on the test?

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How can we do this as a binomial?Context: 100 questions, 5 possible answers each, want to score at least 30%.

P(X > 30) = = 1-binomcdf(100,.2,29) =

How do the two computational methods compare?

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Practice: 9.20 & 9.22

Homework: 9.25, 9.27, 9.30

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Tomorrow:

Q & A9.2 Coop Asmnt