Join StudySoup for FREE

Get Full Access to
FSU - STA 1013 - Study Guide - Final

Description

Reviews

99 Left Skewed 2ight skewed 44 55 199 137 vahest value Or outu. Average age of persons stion Annual salary of TA.@ FS4.select 30 in your house. actual :18.6 population TA 5200 TAS. Aug= $14800. All TA avg. - $15200. you: 19. Identify following: e relevant symbols: inus population: All people in house 1 sample) Il grudWe also discuss several other topics like earning statement uiuc

We also discuss several other topics like geology final exam

We also discuss several other topics like the "razor" of franciscan friar and english philospher and logician william ockham was concieved for what purpose?

Don't forget about the age old question of o How does crime vary by: age, gender, race/ethnicity, social class?

Don't forget about the age old question of the passage of shortwave and longwave energy through the atmosphere and water is an example of

Don't forget about the age old question of econ 4010 study guide

nis fuNorite sample: you In-30 IKHTISCOUTUCNVN X=14800! parameter: M=18.60 (population means Play SPORTS 45 statistic:7-19 (Sample means Bar chart > Hall on Phone 53 Subject: Persons living in house visit friends Observations: their ages or Learn money Sports sample size:1 (Just you! phone chat online mean/proportion: meand friends school clubs 22 watch TV 37 Freg. Table: 60 kids, 30 bus, money Chivity 20- 'parents, 10-walk online # of Students 66 Clubs 22 Trans. Free. Teel free Bus 130 T50% STE Parents 20 33.37. 20 40 lo so 1002 uniform F Walk T o 16.77. 1 # of days photographer was away from homb Bell-shaped Total 60 T 100% 2,5,6,11,16,118,18,19,20,20;2,21,21,22,23127, 30, 35, 43,49 1. range: 747 31.calculate fences and identify outlier's2s n = 20 2.5 # summary: 6,31,37,43,80 IQR=Q2-Q, = 25-17-9 2. Draw box plot lowest value not outlier 3. Outliers:6, 62,65,68,76,80 Lf-Q,-(1.5-IQB) = 17-(1.54855 min Q, Q2 Q3 ( mar 4. IQR: Q3-Q, = 43-31 = 12 Uf- Q3. (1.5* IQR) - 25+1.548)=37 Outliers = 2,43,49 5. Lowest not outlier : 18 13. Skewed? 6. highost not outlier:55 Į right- skewed T 7. half less than : 37 u e 50 8.% blw 43-80 : 25%. 9. Shape: bell-shaped 10.% b/w 6+43 : 767. 11.% blw 6+80: 100%. 12. Range or I QR better measure of spread, why? 31 3743_ IQR blc outliers inflate ttt 7,85zq. calculate STD Davu mean: sum of squarea dinto variance 36+74+8529 (X-X) 2 14-56)2=400 -764.7 こらし 17464-5422324 241 175 (85-56)2=841 standard dev. 29 29-503729 S-1764.7 10% 10 T 37 43 55 izis is togg to so S?2294 4-1 da 90% WHITE 22) 183241 ont 60% 27.7 Sum=2294 2001 344 241 mean: 30 hrs stardard dev.- 7 nr 2. Draw 241 Curve 1. Distribution should be N307) - 3. What 3. what 7 blw 23+ 44 hours? 4. what . spend more than 160 hrs? 97.5% 81.5% 5 The 84th percentile of times is approx 37 hours to what is fith percentile predicted to be? 23 hours cy. The lowest 2.5% of times per week are expected á 1 23 30 31 44 51 to be less than the hours 157/2.357/ 161/2.351/15* | getil | 3+1 lost 25.11.1937. The lowest 2.5". Of X 13.5%. X 34% Let us suppose that the federal Let us suppose that the amount of bread income tax paid by grad. Students consumed by adult Americans per day can be in 2012 was symmetrically modeled by a normal distribution wi mean 32 oz Cand Standard deviation 13.3 oz distributed wl mean =1200 and la) what %. Of adults Americans are predicted to SD = $145. In order for it to be Safe to assume that X is approx S consuntie 12s than 10or of bread X normally distributed, N (32,13.3) 2= 10-32 From -1.7 73.3 2-score table we know that 4.46% un should be greater than Se adult American consume less than 1002 or equal to 15. b) what of adult Americans predicted to Now let n=17,so that X= the mean / consume more than 4502? federal income tax paid in 2012 by X^(32,13.3) 2= 45-32 3 rad Students. From 2-score ran 13.3 by randomly selected grad students. ) from 2 sore table: 84.137. consume less SO what is the probability that the 15.87% consume more than 4502 sample mean federal income tax o what ). consume between 20oz and 4002 Paid' of 17 randomly selected arod (C) what %. consume between 20 Students' turns out to be less than 240 = 4052-672.57% is less than 40 224.5 (Round S.D. to nearest integer) 220 - 20-30-9 18.41% is less than 2002 BY CLT 13.3 Ž 172.57 - 18.41= 54.10%. blw 2002 and 400, 1x T~N(2001 ) ic. i~N (200,35) A If we randomly select 4 residents, what is 2= 224.5-200 -0.7 the probability only one of them will be pauing From 2-score table we know that more than $900 for her/his apartment ? POEG 75.8% of the mean tax paid are less s 4x( 20% 80% %80% x 80%) = 40.90% than $224.5 al P(72 24 4105)=0.66 P(X360)=0.02 35 POL35 orX255)-ODE area:0.6 area:002 area: 0.04 arca:0.04 R(55) 8+IL 98105 1 45 60 35 45 ss SI # IFBB 8 other totall 7. Probability Boys 4a) be a giri: 55% 7 6 5 18 719) 12 b) like BB: 40% 1 Girls 8 104 22cbe boy/other: 12.5% Total 15 16 19 140. If likes BB, prob. will be bor? 10 or 0.1510.40 = 37.5% 1%. IFB | BB other total Is girl, prob likes BB or FB? or 0.2 +0.25 Boys 17.57. - 81.87. 15%. 12.5% 45%. s(45) 400.55 Girls 1201 | 25% 10% 55%. (For 2 Students) 'a) likes crime dramas: Hotal 37.5% 40% (22.5% 100%. b) likes all 3: 117. c) I or more likes BB: b)onty I likes FB : c) crime and reality : 1971720 x2 = 64.67 d) likes none: 9% ' ?donly ! girl who likes FB: * *+ ax hip = 487. e reality and sitcom, crime -ND: 24740x + 3% * q = 32.87 If sample size is 500, Iconstruct 951. wnf. int. 12. If likes (C), what's prob. will sande size of me n=10o produced MEG L9 = 025 like other 2? = 18.6%. Tämean of een of 1. assuming pop. (15.74ilv.26) 1 ir E. R), prob: will like(s) Sibertas.computt 95% confidence 60.26.140 +0.26) if (C) = ND? 533 - 43.0%. ME= 1.96x1.96x3 f sample size = 1000 E-0.19 (15.81, 10.19) 4 likes (s), prob will like other22 95%. CZ is (-ME, TIME) An increases, me gets smaller, .LV -0.588,10+ 0.588) 951. Ci gets narrower, which -45 = 34.5% y hean aistimält is more (15.412,14.4588) "Precise ME I A survey of 100 californians 5 If sample size = 500S ) finds reports that 082P are excited about the coportuniti SME=0.04 (43.0%.52.47 ( sample size=1000 to take a stats class. conduct ME=0.031 (44.97. ,51.17.) 951. conf. int. Of californians who are excied to take stats. nots sample size 0.48(1-0,42 -0.098 sampredicc ME = 1.96 x YP-2): 1.96 100 (increases, ME 957. Ci is (P-ME, P+ME) gets smaller, 95). (či gets narrower, (0.48- 0.098, 0.48+0.098) which mean ca (0.382, 0.578) = (38.24., 57.8%) estimate more precises A random oample of n=100 people is selected Of whom 87 are right handed - we are concerned about Whether the proportion of right handed people is more than 80%.. use these data to test the claim at significance level 0.05. Home non distance diff from 4206+? Step 1. Ho: TT=0.8 6 Ha: T >0.8 HO:M=420 Ha:u7420 Step 2. P= 8% - 0.87 F=407.3 0:39.5 n=ll n=100 under null hypothesis Ho we have P~NCIT/T (1-1) -). UC: 2 X 13.577. 1943 7.8(1-0.5) = .8 P-value: 1-9641 = 0.0359L0.05 = 0.2714 > 0.05 about 3.59%. expected 27.13% expected to to be 0.87 or more. 0.13 be lower than 4075 or higher than low povalve so should 0.1357 432.5. High , reject it HIT P-value no D e concude its 401.5 420 432.5 reason to reject more than 80%. 3N (u ) =(420, 39, 5) 7:Score: 3-- 407.3-420 Thin 39.5 HIT 2-score: P-T - 0.081-08-18 Pvalue: 2x 13 0 I about 30 0.0359_0.05 10.8 0,8 conclude not diff.