bplist00X$versionT$topY$archiverX$objects _columnHeadersDictUpairs_learnVsReviewNumber]formatVersion_cumulativeStudyTime_visibleColumnIdentifiers p_NSKeyedArchiverq !"#*! 3459HTXY\_`dhlovyz}~   $(,367:;?CGNQRUVZ^bilmpquy}U$nullV$classZNS.objectsXdisabledWcolumnAWcolumnBWscoreAB$%&'X$classesZ$classname'()^NSMutableArrayWNSArrayXNSObject+,-0WNS.keys ./ 12 VAnswerXQuestion$%6778)_NSMutableDictionary\NSDictionary;<=>?@ABCDEFG (08@HPX`hIJKLMNOPQRS_performanceDictBAUitemBUitemAXuserDict_performanceDictABUVW[stringValue_5A discrete random variable is a function that takes a$%Z[[)ZGeniusItemUV^_#finite or infinite number of values+,bc +,fg +,jk $%mnn)ZGeniusPairIJKLMNqrstuUVx_ZThe probability mass function p of a variable X provided with the argument "a" is equal toUV|XP(X = a)+, +, +, IJKLMN&#!'%UV"_eThe distribution function F of a random variable X is equal to what when suppplied with argument "a"?UV$YP(X <= a)+, +, +, IJKLMN.+)/-UV*_]The distribution function of a random variable with argument "a" can also be expressed as theUV,_1sum of the mass functions less than or equal to a+, +, +, IJKLMNƀ63175UVɀ2_2For F(a), as A tends to plus infinity F(a) becomesUV̀4Q1+,Ҁ +,ր +,ڀ IJKLMN>;9?=UV:_3For F(a), as A tends to minus infinity F(a) becomesUV +,AB +,EF IJKLMNIJKLM^[Y_]UVPZ_wA discrete random variable X has a Bernoulli distribution with parameter z if its probability mass function p(1) equalsUVT\Qz+,XY +,\] +,`a IJKLMNdefghfcageUVkb_wA discrete random variable X has a Bernoulli distribution with parameter z if its probability mass function p(0) equalsUVodU1 - z+,st +,wx +,{| IJKLMNnkiomUVj_FA discrete random variable has a geometric distribution if its p(k) isUVl_(1 - p)^(k-1) p+, +, +, "BH"'1:?Xlr(1<CRZcpxz  $8>DMacegikmv (*+,9;<=FKVoqsuwy{   *,-.GIKMOQS\^`+-/1357@BD13579;=FHJ)2468EGHIVXYZgijk      * , - . G I K M O Q S \ ^ `        # % '         | = F H J \ i k l m z | } ~