Answer:
Hi Wdym m=by 100% of will give me 93
Step-by-step explanation:
The answer is true. A conditional probability is a measure
of the probability of an event given that (by assumption, presumption,
assertion or evidence) another event has occurred. If the event of interest is
A and the event B is known or assumed to have occurred, "the conditional
probability of A given B", or "the probability of A in the condition
B", is usually written as P (A|B). The conditional probability of A given
B is well-defined as the quotient of the probability of the joint of events A
and B, and the probability of B.
Answer:
Mean for a binomial distribution = 374
Standard deviation for a binomial distribution = 12.97
Step-by-step explanation:
We are given a binomial distribution with 680 trials and a probability of success of 0.55.
The above situation can be represented through Binomial distribution;

where, n = number of trials (samples) taken = 680 trials
r = number of success
p = probability of success which in our question is 0.55
So, it means X <em>~ </em>
<em><u>Now, we have to find the mean and standard deviation of the given binomial distribution.</u></em>
- Mean of Binomial Distribution is given by;
E(X) = n
p
So, E(X) = 680
0.55 = 374
- Standard deviation of Binomial Distribution is given by;
S.D.(X) =
=
=
= 12.97
Therefore, Mean and standard deviation for binomial distribution is 374 and 12.97 respectively.
Answer: $940
Step-by-step explanation:
You multiply the 9540 by .10 because 10% turns into .10 and then when you multiply that which is.... 9540x.10= 954