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**In the Legos Example, the most accurate sample technique was:**

Guessing the mean Drawing a “convenient” sample Drawing random samples

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**What kind of problems can bias a survey?**

1.Undercoverage 2. Judgment sample 3. Convenience Sample 4. Voluntary response 5. Non-response 6. Response bias

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**Why do medical studies use double blind studies**

To remove bias in selecting patients who receive treatment To remove bias in handling patients Both (a) and (b) Other biases

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**Probability sample vs Non-probability samples**

Some types of sampling SRS Simple Random Sample Stratified sample Clustered sample Systematic sample Probability sample vs Non-probability samples

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**If I go to the campus center cafeteria and poll every 4th person I run into, I’ll end up with a**

random sample of all the students at the university stratified sample of the student population A biased sample of students at the university

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It is always better to take a census to draw a sample

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Precision Sample size: determines how well the sample represents the population. Accuracy of data is inversely proportional to the square root of the sample size

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**A poll taken at our favorite web site: www. statsisfun**

A poll taken at our favorite web site: gathered 12,357 responses. The majority said they enjoy doing statistics homework. With a sample size that large, we can be pretty sure that most statistics students feel this way too. Yes no

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We need to survey a random sample of the 300 passengers on a flight from San Francisco to Tokyo. Match each method below with its proper method name

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**1. Pick every 10th passenger 2**

1. Pick every 10th passenger 2. From the boarding list randomly choose 5 people flying 1st class and 25 other passengers 3. Randomly generate 30 seat numbers 4. Randomly select a seat position (a,b,c,e,f,g,h,i) and survey all passengers sitting in those seats Random Cluster Systematic Stratified

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Sampling Distributions 9.2. When a survey is used to gather data, it is important to consider how the sample is selected for the survey. If the sampling.

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