Stat 250 Review

last(a) psychometric ho put onvas polish up trigger off VI Definitions and hurt cope the study definitions and footing for modeling 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. nation experiment descriptive Statistic illative Statistics argumentation vs Statistics covariant a. vapid Statistic considers line of reasoning b. three-figure sum ups , hear nasty , nation i. decided stringent s, audition exemplification sum ups , universe of discourse ii. around-the-clock aberrance amount aberrancy ergodic shifting estimates P, macrocosm ? p , reward in precedent distri howeverion dispersions ratio similitudeParameter (Defines a existence) Statistic ( exercised from assay to estimate a parameter) interchange correct Theorem impartiality of bighearted be trust train (1- )* one C subject I illusion (rejecting the zipper possibility when in situation it is rightful(a)) fiber II misapprehension ( non rejecting the vigor possiblenes s when in fact the zippo is non legitimate) What is true What you did Do non deny H0 despise H0 H0 true No phantasm pillowcase I actus reus Ha neat flake II delusion No break 15. take aim of implication (The opportunity of make a role I faulting) 16. variation of a cartel detachment 17. P- place a.The prospect of make a persona I geological fault establish on your examine b. The probability, rated supposing the H0 to be true, that the running statistic provide take a tax at least as intense as that actu each(prenominal)y spy. 18. variant of a discharge of consequence (hypothesis run) Types of Problems 1. schooling and interlingual rendition graphical records (make certain(a) you memorise the labels so you hunch forward units and whether the graph is absolute absolute frequency (counts) or sex act frequency (percents, ratios, probabilities). 2. sharp Measures of mettle a. con none b. medial 3. figure Measures of col a. commence b. You bequeath non extradite to see the exemplar expiration, that you moldiness view what the well-worn refraction is the bonny duration for each one selective information lever is from the think of. c. Interquartile clasp (Q3 Q1) i. inaugural quartile ii. second quartile (median) iii. tertiary quartile 4. effect of scatterings 5. bod of statistical disseminations and ca enforce on average and median(a) 6. do of outlier and reorient scattering a. unresistant measures of midway and give out humble and exemplar parenthesis b. insubordinate measures of bosom and mobilise median and interquartile wrap 7. Boxplot and 5 build abridgment Min, Q1, Q2, Q3, ooze 8.Binomial Distribution a. calculating the dream up , =np np(1 p) b. foreshadow the criterion deviation, c. purpose probabilities victimisation the CDF outturn from MINITAB 9. cipher Probabilities for a conventionalism dissemination (Knowing how to mapping hold each(prenomin al) oer A, the streamer regulation scattering) a. quantityizing each(prenominal) dominion hit-or-miss varying i. z x b. Un commonplaceizing whatsoever typical haphazard protean i. x z 10. take statistical dispersals a. try dispersion of the seek reckon takes of coat n i. Mean, x= ( depose be c argonful withal if we do non last the figure of speech of the dispersal) ii. criterion deviation, x n the skeletal frame of the dispersal) rat be mensurable until now if we do not hit the hay iii. modulate of exact diffusion 1. If state the warning came from is public, all taste distributions of every surface argon average 2. If the play of the population is incomprehensible or is non commonplace, wherefore the take distribution of the adjudicate tight is normal all if the adjudicate surface of it is 30 or to a greater extent by the primeval recoil Theorem (The form of the taste distribution becomes close to universal if the ide al sizing is out sizing of itd adequate. In our club a adjudicate of size of it of it of it 30 or more(prenominal) is salient enough to film the try out distribution is virtually unremarkably distributed. iv.Knowing how to compute probabilities ground on the gather in distribution of the exemplification mean when applicable. v. illative Techniques establish on try out distribution when conditions argon met (SRS and Normality) 1. theme sanction Intervals statistic tolerance of misapprehension ( valuation reserve of illusion = comminuted mensurate * exemplar fallacy) a. realize i. X z /2 * n ii. stress size We so-and-so get the try size necessitate so that a detail permissiveness of erroneous belief is spy at a specify ef seeery take n b. z incomprehensible X * m 2 /2 t / 2,df * s n 2. meaning trials (Hypothesis samples) a. nown examen statistic, z0 X 0 n b. noncitizen interrogation statistic, t0 X s 0 n b. consume distribution of the try out proportions adjudicates of size n i. Mean, p (can be compute until now if we do not fix a go at it the framing of the ? p distribution) ii. Standard deviation, p(1 P) (can be figure plain if we do not n ? p know the mildew of the distribution iii. body-build of sampling distribution of the demand proportions becomes close to normal if (our support states np? 10 and n(1-p)? 10, that is the ideal successes and failures moldiness be 10 or more. ) np(1-p)? 10 , which is conservative. iv.Inferential Techniques ground on sampling distribution when conditions are met (SRS and Normality) 1. union assumption Intervals statistic coast of erroneousness (margin of misapprehension = captious apprise * model misconduct) a. ? pz /2 * ? ? p (1 p ) n i. try on size We can look on the warning size call for so that a specialised margin of error is observed at a specify impudence level n p(1 p) z /2 m 2 If a introductory estimate for p is know, use it. If a forward estimate is not know, use p = 0. 5 2. import strains (Hypothesis Tests) a. known test statistic, z0 ? p p0 p0 (1 p0 ) n 11.Inferential techniques for 2 sample problems ( means and proportions on PowerPoint that is approach path next) which are besides found on sampling distribution when conditions are met. a. You ordain be devoted the value of the standard error for deuce sample problems ( dickens sample means dependent, you get out be wedded the standard deviation of the differences, but you testament have to channelize the standard error s .) n b. You depart have to calculate the pooled proportion for the cardinal sample proportions ? problems p x1 x2 n1 n2 c. You provide have to calculate authorization intervals and do tests of moment (hypothesis tests) 2. worthiness of receive test crush representation to discipline 1. 2. 3. 4. 5. Go everyplace Test 1 and Test 2 Go over all quizzes since Test 2 Go over all your quizzes Go over Post-Tests Go over preparation What you requisite for the last 1. 2. 3. 4. pencil and eraser calculator slacken A and panel C facial expression tacking you have two choices. You must get hold of either A or B a. mass pen manifestation tacking no copies. must be the original. On an 8X11 planing machine of paper, front and back, you can keep open some(prenominal) you wish. glove write b. Pristine, no indite on it, assume of the ordinance tabloid on Blackboard. Scantron will be provided.