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Population tax filers from city of 100,000, or entire group of people filing taxesSample 1,000 tax filersParameter of interest % of tax filers who file on April 15thSample Statistic 10%If random samples are same, same conf. Level,same moe.
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Margin of error +- % Dependent on sample size. NOT on population sizeConfidence level 5%Observational study no variables were ever manipulated. No treatment was engaged.Explanatory variable excess dna in patients, BC brings about changeResponse variable is # of people w/ orarl cancer, measured outcome of the studyNormal Distributions mean=median. So same Q1, etc. Turkey median= 18lbs, SD 5lbsWhat percent of these turkeys weighted more than 16 pounds? 16-18/5= -.4, so 4.6. 100-4.6= 65.54% weighed moreThe top 5% of these turkeys weighed more than 1.5 pounds. SO,Response Var measures an outcome or result of studyStatistically significant observed effect so larger that would rarely occur by chanceExplanatory Var we think explains/ causes change in response variable (INDEPENDENT var)Lurking Var a variable that has an important effect on the relationship among the variables in a study, but is not one of the exp studied.Confounded when two variables effects on a response var cannot be distinguished from eachother.Randomization produces groups of subjects that should be similar in all aspects before we apply the treatments (always subject to laws of chance)Comparative ensures that influences other than experimental treatments operate equally on all groups. (cause/ effect work best)Double Blind Study neither the subjects nor the people who are working with them know which treatment each subject is receivingSample surveys sufer from non response due to failure to contact some people, and refusal of others to participate nonadheres dont follow rulesDistribution of a variable tells us what value it takes and how often it takes these valus. Rounded off errors when rounded entries dont add up toCATERGORICAL VAR places an individual into one of several groups. QUANT takes numerical values for which arithmetic op, such as add/avgPictograms people respond to overall area. Not numbersShape the distribution of peaks CENTER the midpoint of distribution SPREAD everything but outliersMedian midpoint of distribution. The number that half observations are smaller. Other half larger. If # = odd, then center number. Otherwise (n+1)/TYPICAL REFERS TO MEDIAN5 number summary min, Q1,M, Q, Maxmean x-bar, average, sum of observations/ n NEED FOR TOTALSD the distance of observations from the mean. Max-min/6s=0, only when there is no spreadSD pulled up by outliersSymmetric distribution mean/median close to eachother.Skewed distribution mean chases tail. Skewed right incomes, houses, prices, wealthEvery teacher given flat $1000 raise mean and median will increase by $1000. both quartiles will increase by $1000, so the distance b/t is unchangedTHE SPREAD OF SALARIES DOES NOT CHANGE SO SD WILL BE UNCHANGEDNORMAL CURVE symmetric, bell-shaped, SD determines shape of curve68-5-.7standard score observation -mean/sd.Percentile the xth percentile of a distribution is a value such that x percent of the observation lie below it, and the rest lie above Please note that this sample paper on Population is for your review only. In order to eliminate any of the plagiarism issues, it is highly recommended that you do not use it for you own writing purposes. In case you experience difficulties with writing a well structured and accurately composed paper on Population, we are here to assist you. Your cheap college papers on Population will be written from scratch, so you do not have to worry about its originality.
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