Question: Please help me answer the following multiple choice Binomial Distribution Graph Problems: Question 1 Suppose our target population is very large. To each observational unit

Please help me answer the following multiple choice Binomial Distribution Graph Problems:

Please help me answer the following multiple choice Binomial Distribution Graph Problems:Question 1 Suppose our target population is very large. To each observationalunit we have a two-level factor attribute called "yeses" with categories "no",and "yes". Consider the following binomial sampling distribution for number of yeses

Question 1 Suppose our target population is very large. To each observational unit we have a two-level factor attribute called "yeses" with categories "no", and "yes". Consider the following binomial sampling distribution for number of yeses in 84 trials. Binomial Sampling Distribution of number of yes 0.08 0.06 Probability 0.04 0.02 0.00 20 40 60 80 YThe population proportion of yes is closest to: 0 0.65 0 0.95 0 0.05 00.5 00.3 The expected number of yes is closest to 017.5 03.5 042 038.5 07 035 Pr[ Y > 19.5 ] is closest to 0 0.16307 01 0 0.9993 00.62818 0 0.05057 0 0.96851 Using the normal, or Gaussian approximation (regardless of appropriateness), Pr[ Y > 19.5 ] is closest to 00.16305 00.00007 01 0 0.96819Question 2 Suppose our target population is very large. To each observational unit we have a two-level factor attribute called "friends" with categories "foe", and "friend". Consider the following binomial sampling distribution for number of friends in 42 trials. Binomial Sampling Distribution of number of friend Probability 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0 10 20 30 40 YThe population proportion of friend is closest to: 0 0.15 00.45 00.25 00.75 00.8 The expected number of friend is closest to 010.5 017.5 019.25 03.5 014 00.75 Pr[ Y > 36.5 ] is closest to 0 0.99697 0 0.00859 00.99937 0 0.7571 0 0.00125 0 0.00013 Using the normal, or Gaussian approximation (regardless of appropriateness), Pr[ Y > 36.5 ] is closest to 0 0.99369 0 0.99782 0 0.76198 0 0.00631

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