Question

I need help with simple random variables & binomial distributions, probabilities please :)

Answer 1

A random variable or stochastic variable is, roughly speaking, a variable whose value results from a measurement on some type of random process.
The binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p. Such a success/failure experiment is also called a Bernoulli experiment or Bernoulli trial.
Probability is a way of expressing knowledge or belief that an event will occur or has occurred.

Answer 2

Ok, I am having a hard time setting the one up.

A student takes a multiple choice exam with 10 questions, each with four possible selections for the answer. A passing grade is 60% or better. Suppose the student guesses at each question.
Find the probability the student gets at least one question correct. I know what the answer is, I just can't figure out how to get to it.

Answer 3

Im supposed to be using binomial probability formula

Answer 4

P(at least one correct)=1-P(all wrong)=\[1-10C4\times (3/4)^4\]

Answer 5

sorry I think it would be \[1-\left( \frac{3}{4} \right)^4\]

Answer 6

where do you get the upper four? i understand that 3/4 is p(wrong)

Answer 7

because i was thinking that its q up n-x

Answer 8

10- 9 right? to be at least 1?

Answer 9

answer is 1-(3/4)^10

Answer 10

\[\ the\ required\ probability\ is=10C1\times(1/4)^1\times(3/4)^9+10C2\times(1/4)^2\times(3/4)^8+...\]

Answer 11

= .94
your good, really good!

Answer 12

I am very sorry for the previuos wrong hasty answers by me. By the way if you have any problems regarding this ask me.

Answer 13

i missed like a whole nother step. how come we do it twice? and so forth. i dont get how u plugged it in like that

Answer 14

I guess, what i am really asking is why did you add them

Answer 15

why I added them? Its beacause of the sum rule of probabilty. putting more intuitively, each addend gives a way of completing the even. so we sum all the events

Answer 16

ohhhhhhhhh i have to do this for EACH event? so I should probably start by listing all events possible

Answer 17

I m sorry i said "we sum all the events". It should rather be "we sum all the ways of completing/doing the event". Yes, we should sum all the ways of a certain event. Here we are working with a single event. You should start listing all the possible ways of completing the events. am i clear?

Answer 18

ask if you have residual doubts.

Answer 19

like P{X=1) P(X=2) P(X=3) ? those are considered events right?

Answer 20

in binomial distributions, we have to find the probabilty of a SET OF EVENTS. So P(x=1,2,3 etc) are EVENTS. You are completely right. But you can view the "small" events like p(x=1) etc. as ways of achieving the MEGA EVENT! in our question the mega event is "the student gets at least one right". Whenever there is a usage of words like "atleast/atmost" be sure that you have to find the prob. of a set of events OR a MEGAEVENT! (i named it just for FUN!!:) )so u consider all the events that can constitute the megaevent.

Answer 21

But don't forget that each P(x=i where i=1,2,3...) is an event and can be accomplished in a number of ways, that is more than one way

Answer 22

wow, seriously thank you so much your time. You saved me hours! And there are still 4 more parts to this story problem, so I'm going to try them out. Have a great night :)

Answer 23

thnx for the medal! :)

Answer 24

you deserved it!