• Shuffle
Toggle On
Toggle Off
• Alphabetize
Toggle On
Toggle Off
• Front First
Toggle On
Toggle Off
• Both Sides
Toggle On
Toggle Off
Toggle On
Toggle Off
Front

### How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key Play button Play button Progress

1/8

Click to flip

### 8 Cards in this Set

• Front
• Back
 Explain The Central Limit Theorem -the average of a bunch of samples is more close to the population mean than any 1 sample-assuming a sample distribution has a mean and st dev, the sampling distribution of the mean has a mean = population mean, and st dev = σ / √N According to CLT, what is the shape of the sampling distribution of sample means the sampling distribution of the mean will be normal if the population distribution is normalthe sampling distribution of sample means will be near normal, even if the sample distribution is not normal What is important about the Normal Distribution? -many data sets follow this distribution-this distribution naturally occurs in nature-it allows us to make assumptions about the population, (create predictions, tests etc.) Why is it useful to standardize data? -allows us to speak about data in terms of st dev-data is represented in terms of proportions-helps us identify which scores are 'different' Define p<.05 there is a 5% chance that a result occurred by chance if the null hypothesis (H0)is true-denoted as alpha (type 1 error) Define type 1 and type 2 errors Type 1-incorectly rejecting the true null hypothesis (alpha)Type 2-failing to reject a false null hypothesis(beta) When do we use Student's T? -when we don't know the population mean, substitute S for σ-small sample size What factors affect the size of T1) difference between the sample mean and population mean2) size of S23) sample size 1) as this difference increases, so does the likelihood of getting a significant result2) as Sample variance decreases, the denominator decreases and T increases3) as N increases, the denominator decreases and T increases