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1 18-32 Question # 1 of 10 ( Start time: 12:11:21 AM ) Total Marks: 1 Let X be a random variable with binomial distribution, that is (X=0,1,, n). The expected value E[X] is p np np(1-p) Xnp Question # 2 of 10 Total Marks: 1 The sample mean is an unbiased estimator for the population mean. This means: The sample mean has a normal distribution mean The average sample mean, over all possible samples, equals the population The sample mean is always very close to the population mean The sample mean will only vary a little from the population mean Question # 3 of 10 Total Marks: 1 Probability of an impossible event is always: Less than one Greater than one Between one and zero
2 Zero Question # 4 of 10 ( Start time: 12:13:48 AM ) Total Marks: 1 The function abbreviated to d.f. is also called the... Probability density function Probability distribution function Commutative distribution function Discrete function Question # 5 of 10 ( Start time: 12:14:50 AM ) Total Marks: 1 The total area under the normal curve is: Question # 6 of 10 ( Start time: 12:15:12 AM ) Total Marks: 1 Two events A & B are said to be independent if... P (A) + P (B) P (B\A) = P (B) P (A) * P (B)
3 P (A\B) = P (A) Question # 7 of 10 ( Start time: 12:15:31 AM ) Total Marks: 1 When two coins are tossed the probability of at most one head is: 1/4 2/4 3/4 1 Question # 8 of 10 ( Start time: 12:16:33 AM ) Total Marks: 1 For exhaustive events, the P(AUBUC) is equal to: P(A) P(S) P(A) * P(B)* P(C) P(B) Question # 9 of 10 ( Start time: 12:17:46 AM ) Total Marks: 1 One card is drawn from a standard 52 card deck. In describing the occurrence of two possible events, an Ace and a King, these two events are said to be: independent randomly independent random variables
4 mutually exclusive Question # 10 of 10 ( Start time: 12:18:23 AM ) Total Marks: 1 The number of parameters in hypergeometric distribution is (are): State marks ka stem and leaf display tha probability main s bohy kam aya event ki def or population ki def ai thi IN another paper session Long Q is moments ka 10 marks ka and varience and SD ka 5 marks ka mcqs 2.one long question of mode 3.one question of chebychev's theorem jb kahein sy or information mely gi tu Inshallah zaroor share karon gi. My stats paper... Moment ratios - 10 marks probability - 5 marks calculate the harmonic mean - 3 marks definition of sample - 1 mark definition of population - 1 mark and 16 mcq's If X and Y are independent, then Var(X-Y) is equal to:
5 Zero Question No: 9 ( Marks: 1 ) Please choose one Which of the following is the class frequency The number of observations in each class The difference between consecutive lower class limits Always contains at least 5 observations Usually a multiple of the lower limit of the first class Question No: 10 ( Marks: 1 ) - Please choose one How to construct the class interval: Divide the class frequencies in half Divide the class frequency by the number of observations Find the difference between consecutive lower class limits Count the number of observations in the class Question No: 11 ( Marks: 1 ) - Please choose one Data in the Population Census Report is: Ungrouped data Secondary data Primary data Arrayed data chck these 4 current papers of sta301 1st paper 10 marks ka stem and leaf display tha probability main s bohy kam aya event ki def or population ki def ai thi moments ka 10 marks ka and varience and SD ka 5 marks ka another
6 sta301 paper 2 sta301 me22 question hy,17 mcq the. 1marks ki defnation aye the 2marsks ka reason pocha tha 3marks ka mean wala sawal tha. 5marks ka moment ratio k formula or explaination aye thi.. 10marks ki problem aye the solve ki the mene jo measure of dispersion se aye thi. sta301 paper 3 Q1) find the low quartile and median. marks = 10 Q2) find the Range marks = 3 Q3) what is meant by Sample? marks= 2 Q4) it what situation we use the Emperical rule and bays therom? marks = 5 Q5) find the standared deviation? marks= 1 Q6) i think, objective type marks = 15 objective type ziada tar theory main say hi aya tha, koi question solve karnay k liay nhi dia gya tha, e.g. mean > median > mode. i) positively skewed ii) negtively skewed iii) equal
7 sta301 paper 4 friends main b isi bhol bolaye main tha,par mera 80% paper probability main se aya,10 marks ka b 5 marks ka b,definatio 2 marks ki wo b prob se aur 11 mcqz from probability se
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