APS Ch 11 Quiz 2019 Answer Key

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Nov 24, 2024

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AP Statistics Ch 11 QUIZ 2019 Name Klwa 75 p¥> Dat P )};; ate er 1. Definition of a population: The enhve afifivej&\—h}n D(l e wunik @ of nderest Tn e sto\%, . ; o +| 2. A statistical measurement of an entire population is called a lPa vamede v O 3. Definition of a sample: A Subset of e Fopula‘h.&v\ Haat must be @ Yépresewin%‘{ze of Ahe populatho . 4. A statistical measurement of a sample is called a S-#’A”fi che @ 5. Sampling methods that consistently tend to over-estimate or under-estimate some characteristic of the population create bia S ) @ 6. Bad sampling designs will create worthless data and invalidate the results of a study. One of the most common dangerous sampling methods occurs when a large group of individuals are invited to respond to a survey. All those who do respond are counted. This method produces __ NOVI -~ V¢S ,P(/Y! Se bi a8 bias. @ 7. What descriptor do we give to the kind of bias that will occur when some portion of the population is not sampled at all or has a smaller representation in the sample than it has in the population. umdevcovevage bias (D <5e\u/h>m bias (5 oka\, ),\OD>

8. Response @ bias is the general descriptor that refers to anything in thle survey design that influences the answers given. It may occur from the tendency of the respondents to tailor their answers to try to please the interviewer or wording the questions to influence answers. 9. Briefly explain the difference between sampling error and non-sampling error. 1= Samp'fnﬂ ervoy s Hhu J.fifcvech i e Samp!@ vesu anh e 4rve Wﬂafi( melec anA s due +o J 3 cnanel. Vo iahiaa B ot a mskalke, NUVL-%:,‘,L(/'* i‘.//) evror ©0CCursS when Tleve s . A wistalee A e (r’cn’-PC;S/ Hheve lolé,x/ j + or Nere s o ealeutlaton evrov, 10.The two major problems that can occur with the answers or information gathered during random sampling are BIAS and LACK OF PRECISION. Using the bull’s eye representation from class, fill in the blank before each word with HIGH or LOW to identify the level of bias and precision in each picture. The bull’s eye represents the population parameter that the sample statistic is trying to estimate. +( +( Low bias L" “~__ bias 1\ H\ b bias 7 fain ng\'\ precision Low precision Low precision Hr;\'L precision > 41\ 11.The major control for bias is ‘b random ‘e Q 12. The major control for lack of precision is _|1(ve 45€ ‘,’ e S p'a S\ize . @ -\ (’p\’"v—\\lj sy._,veu e q

13. Administrators at a large hospital are concerned about the possibility of drug abuse by people who work there. They decide to check on the extent of the problem by having a random sample of the employees undergo a drug test. Several plans for choosing the sample are proposed. Name the sampling strategy in each. a. There are four employee classifications: dogors, medical staff (nurses, technicians, etc.) office staff, and support staff (custodians, maintenance, etc.). Randomly select ten people from each category. Svahhed @ b. Each employee has a 4-digit ID number. Randomly choose 40 numbers. ..\r\ §\W\P\c Yandom <2a w«f;\< oo SRS O c. At the start of each shift, choose every tenth person who arrives for work. Sy slemakc @ d. Randomly select one of the hospital’s departments and test all the people who work in that department — doctors, nurses, technicians, clerks, custodians, etc. Clusler @ 14. One administrator suggested walking into the break room and testing the people in there. What type of sampling would this be? Explain why this method is biased. Covvenience 6AW.0|C. D) The Pe,op'c Yhat ave tn e \ovcafg voowna gVV;’Kf\ wnot he rgf?l{’ ?,tf’w*:a'jfik;( of He ewnhie ()b(:)u P @ Over o under covevage covld otcun 15. Name and briefly describe problems with the kind of bias that might be present if administration decides that instead of subjecting people to random testing they’ll just... i a. interview employees about possible drug abuse. — K25 pose Biag W e \V\~L€r\ll.€N IS not ﬂV\W\\/P\nD\Jgj *"(/\ej‘("’v W ay not 35-\; \f]ovurg“\’ vesponses, & I . b. ask people to volunteer to be tested. —\{olwﬂrp\fb vesponse vias [/lkatj Yhe PlOP‘l. who Volunleer witl v, @ be Y\6V|~dru5 NWSEvs A’r\ A.,mog-§» w o Se ‘/’("S‘l‘l‘L . (CS t\Sgu'fvﬂkm:’) +he i’\un“‘«.ll;)%unx‘;'uvf must be C{V(Afi usevs ()

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16. A school administration is conducting a satisfaction survey, sampling from the list of 2,000 students. The list includes 500 freshmen, 500 sophomores, 500 juniors, and 500 seniors. The school administration selects a sample of 200 students by randomly sampling 50 students from each grade level. Is this an example of a simple random sample? A) Yes, because each student in the sample was randomly sampled. B) Yes, because each student in the sample had an equal chance of being sampled. C) Yes, because students of each grade level were equally represented in the sample. ® @ No, because every possible 200-student sample did not have an equal chance of being chosen. E) No, because the population consisted of students from four different grade levels. This s M'JMAHS i sheabhhed sample. Extra Credit: 1) I took a sample of ACT scores of Sandburg seniors. The average ACT score from my sample was 26.1. What is the statistical term for this sample mean? Fo\:’\‘\’ €$4W\:1al€"’ @ 2) Stratified sampling is often used to reduce sampling variability. Explain what this means. Use the Jellyblubber activity or the school survey with equal numbers per grade level to help in your explanation, if needed. v”k//wcy (S A V\a—lrwra_\ O CCkrrenmm Ce DC \/Arm(‘m 'L'L:) ’Rwr\ e Samn F\e o e vie s+ » .{—\ Bv’ USi;va §+fasjr~.7[7< ()‘ sa wféo\‘ \r\j ) e cben Plc fiw— Sure Condains )?fvfiar% oval awountg Q—r/ each SMbTDVr DL Ale lpo[pu!n'!'\;y\ _ TThe ce Sul;zfirau/,)g l’\L'P ’FWM Mmov ¢ ol = mej\aiﬂfi‘ a}m,;’f%@ view N 1 ~ ¢ o i 4‘4’ U of the stahshe ,thus V‘MM% C@

APS Ch 11 Quiz 2019 Answer Key

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