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8.1 What about when you take a sample? when you take a sample size 2 or 3 or whatever, you expect a lower standard deviation (the mean of the population is still the same) we call that the standard deviation of x (also called the standard error) notation: σ there is also the mean of x notation: µ Central Limit Theorem: ex) if σ=8 and you take a sample of size n=16, what standard deviation do you get? (i.e. what is σ_ ?) ex) If σ=1.9 and sample size n=20, find your standard deviation σ_ note: dont round too much, that error will get bigger in each step this is the mean, for sure this is the standard deviation, for sure but...is the distribution of x *normal* (is it a bell curve) ? we want this because then we can figure out all the probabilities .......lots of experimenting..... population is normal -> distribution for x is normal population is not normal -> take sample of size 30 (to be safe) then distribution for x is normal therefore, x is normal if: population is normal OR n≥30 (and we know σ) to describe a distribution, you state: the mean, the standard deviation, the shape for adult salmon length, µ=42" and σ=6" (normal distribution), find: a) the probability that one salmon is longer than 46"... b) the probability that four salmon average longer than 46" formula for z-score: value - mean st.dev note: the text writes the formula for z differently (with n in it). we will learn it this way - it will make life easier for the rest of the course you do: ex) µ=78, σ=6, sample size n=10 population has normal distribution find P(x<70) ex) for all cars, the average lifespan is µ=12.6 yrs (σ=2.1, normal distribution). what is the probability that nine cars on average last longer than 14 years? 8.2 distribution of sample related to proportions ex) 62% of mothers want increased athletic programs in the schools we write: .62 p represents proportion of the population represents the proportion of the sample ex) from a census, 51% of US residents are women notation: p = .51 what proportion are men? ex) from a survey of 800 teenagers, 673 like Justin Timberlake's music notation: note: you wouldnt say "what is the average number of people who like his music" what proportion of teenagers do NOT like his music? notation and formulas ... for proportions: what is it comes from the population note that this is different than with the sample mean x 17% of Americans have high cholesterol. suppose we will take a survey of 80 people. what is the probability that less than 12% of your sample has high cholesterol? what is µ^ ? what is σ^ ? is the distribution of p normal? so, what is the probability that less than 12% of your sample has high cholesterol? there are lots of decimal numbers here there are values the proportion there are values for probability be careful as you are doing problems not to confuse them in this problem, proportion is .12 probability is .1170 ex) p = .47 n = 60 what is P(p < .43) ? P(p<.43) = .2676 ex) if p=.28, find P( ^ > .32) with a sample size 180 ex) 62% of mothers want increased athletic funding what is the probability that more than 40 out of 60 mothers will vote for funding? ex) find P(x>32.7) ... µ=29.6 σ=8.2 n=34 ex) a 2003 study found that medical residents work an average of 81.7 hours per week. suppose the number of hours worked is normally distributed with a standard deviation of 6.9 what is the probability that the mean number of hours worked by a team of 8 residents is less than 75 hours a week? ex) find P(p< .6) ... p=.55 n=80