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# A P S tatistics opic O utlinc Thef ollowingi s a no utlineo fthe m ajort opics overed y t heA P E xamination S tatistics. heo rdering ere c b in T h...

Can you solve all the questions with explanations. For the topic outline on the first page, compile !. A to C (the ones I have circled). For each point such as 1. center and spread, explain why and how it's important when analyzing data and give the definitions. Try to make each point 4-5 sentences. Thank you

AP Statistics opic Outlinc The following is an outline ofthe major topics covered by the AP Examination in Statistics. The ordering here is inte[ded to define the scope ofthe couse but Dot necessarily the sequence. I. Exploring Data: D€scribing patterns and departures from p^tteras (20o/o-30o \ Explorutory analysis ofdat.r makes use ofglaphical and nutnerical techniques to stud! patterns and depdrtures fton pdtterns. Emphasis should be placed on interpreting information fron graphical and t-cal displays and sunmaries. ni l Center and spread 2. Clusters and gaps ",Ut,1 i,,: ,l c €'.,,i -,' 3. Outliers and other unusual featues 4. Shape B. Slrmmdzing distributions of univariate data /- /, 1. Measuring center: median, mean , i 2. Measu ng spread: range, interquartile range, standard deviation I \ 3. Measuring position: quartiles, percentiles, sta:rdardized scores (z-scores) \ ,1. Using boxplots \ -_. \ 5. I he ellecl o1 chanFlng unrls on sulmary measure( C Comparing distributions ofunivariate data (dotplots. back{o-back stemplols, parallel boxplots) " 1. Cornparing center and sprcad: within group, between group variatjon 2. Comparing clusters and gaps 3. Comparing outliers and other unusual featues 4. Comparing shapes D, Exploring bivariate data 1 Analyzing patterns in scatterplots 2. Correlation and linearity 3. Least squares rcgression line 4. Residual plots, outliers, and influential points 5. Transfomations to achieve linearity: logarithmic and power transfomations Exploring categorical data: fiequency tables 1. Frcquency tables and bar charts 2. Marginal and joint frequencies for two-way iables 3. Conditional relative fiequencies and association 4. Comparing distributions using bar charts E.
A? STATISTICS Comparing Distributions WS Namc I)atc Period Dircctions: Write the letter ofthe best answer on the line given. Remember there may b€ ofher good rrsponses, but only one answer rvill be fhe best. Read carefully and underlinc key information. For questions 1-10: Thetwo histograms display the nunber oIletters that could be rv tterin 15 seconds among 63 students using thefu dominant then thefu non-dominant hands. Also given are thc 5 nunber sumnlanes. Five Number Summarics Dominant 18,31,34,39,48 Non-dominant 6, 10, 12, 16, 24 10 5C 40 5( 40 30 20 10 20 30 1. The two sampling distributions are A. approximately the same. ll. somewhat the same. C. very different. D. canoot be compared because of different scales being used. _. 2.'l'he best description comparing averages would be. .. The avcragc number ofletteis by the dominant hand is greater than the average number by thc non-dominant hand. The nedian number ofletters by the dominait hand (34) is about three times la.ger than the media[ numbcr by the non-domimnl hand (12). The center ofnumbcr of letters by the dominant hand is about t\.vice as l.rge as thc center of numbcr ol letteN by the non-dominant hand. No doDinant median is almost three times larser than the dominant median. 3. The IQR lbr dominant and non-dominant number of letters \ritten in 15 t B. C, t). seconds is (respectively) 4. What is the value such that 75o or more ofthe studcnts \$'aote this many lctters or fewer in 15 seconds using thcir dominant hand? A. 30, 18 B. 16,6 c. 14.12 D. 21, t0 E. 8,6 A. t6 B. 31 c.34 D. 39 dominanl hand? A. t6 B. 31 c.34 D. 39 H.48 (:.6 D.8 E. camot bc detemined 5. What is the value such that separates the top 257o ofthe number of lctters lvritten using their 6. l hc range ofthe lowest quarter ofnumber of letlers written using their non-dominant l]and is? A.2 Collection 1 12 B.4 E. cannot be determined
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A. 1) Centre and spread: The center indicates the location of the data point and spread shows
that how much variability exists in the distribution of the data. The location is necessary
to identify...

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