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12/4/2014 Remember….. Population It Point Estimates Sample It Parameter Quantity computed from values in a population Usually is the set of all objects being studied is a subset of the population Statistic not known Quantity computed from values in a sample. Computed µ σ x s p p Point Estimate It is a single number that is based on sample data that represents a plausible value of the characteristic for the population. It’s the statistic (from a sample) that we use to estimate the parameter (of the population). directly from sample data Examples To find a point estimate of the average height of students in this class I could use a sample of 10 people and find their average height. To find the percent of green M&M’s in a bag, I could use 20 bags and find the average percent in those bags to estimate the true population proportion. 1 12/4/2014 An article on affirmative action reported that 537 of the 1013 people surveyed believed that affirmative action programs should be continued. Find a point estimate of the population proportion. Point estimate of p is: ૠ ෝ= = . Based on the sample, we estimate that 53% believe that affirmative action should continue. Calories per ½ cup serving for 16 popular chocolate ice cream is shown below. Find a point estimate for the number of calories in a serving of chocolate ice cream. Calories per ½ cup serving for 16 popular chocolate ice cream is shown below. Find a point estimate for the number of calories in a serving of chocolate ice cream. 270 170 160 160 199 160 150 180 150 140 160 290 190 170 110 170 Calories per ½ cup serving for 16 popular chocolate ice cream is shown below. Find a point estimate for the proportion that are greater than 190. We could use the 270 170 160 160 199 160 150 180 150 140 160 290 190 170 110 170 mean: median: We tend to pick an estimate that yields an accurate estimate. To estimate a proportion – we use a proportion (not a mean). To estimate how many – we use the mean, median, or trimmed mean To estimate variation – we use standard deviation, variance, or range 270 170 160 160 199 160 150 180 150 140 160 290 190 170 110 170 For our class (the population), find a point estimate for the … Average height Difference between height of girls & height of the boys Proportion with brown eyes 2 12/4/2014 Unbiased Statistic Examples of unbiased estimators It’s a statistic whose mean value is equal to the value of the population being estimated. Biased – not equal to the population being estimated. median trimmed mean Biased: Range If using a sample – it will only equal the population if you have the lowest & highest values. The probability for this to happen is very small – almost 0. Thus it’s biased because for most, the sample range is smaller than the population range. mean: x Proportion: ෝ Variance: s2 ∑ ( x − x) = n −1 2 ∑x = 2 − (∑ x) 2 n n −1 Airborne Times: 57, 54, 55, 51, 56, 48, 52, 51, 59, 59. Find point estimate of mean & variance. Put them in list 1 Do 1-var Stat To get the variance, you must take the st. dev. (Sx) and square it. Homework Page 481 (1-4, 25, 26) 3