Answer:
a) Poisson distribution
use a Poisson distribution model when events happen at a constant rate over time or space.
Step-by-step explanation:
<u> Poisson distribution</u>
- Counts based on events in disjoint intervals of time or space produce a Poisson random variable.
- A Poisson random variable has one parameter, its mean λ
- The Poisson model uses a Poisson random variable to describe counts in data.
use a Poisson distribution model when events happen at a constant rate over time or space.
<u>Hyper geometric probability distribution</u>:-
The Hyper geometric probability distribution is a discrete probability distribution that describes the probability of successes (random draws for which the object drawn has a specified feature) in draws without replacement, from a finite population of size that contains exactly objects with that feature where in each draw is either a success or failure.
This is more than geometric function so it is called the <u>Hyper geometric probability distribution </u>
<u></u>
<u>Binomial distribution</u>
- The number of successes in 'n' Bernoulli trials produces a <u>Binomial distribution </u>. The parameters are size 'n' success 'p' and failure 'q'
- The binomial model uses a binomial random variable to describe counts of success observed for a real phenomenon.
Finally use a Binomial distribution when you recognize distinct Bernoulli trials.
<u>Normal distribution</u>:-
- <u>normal distribution is a continuous distribution in which the variate can take all values within a range.</u>
- Examples of continuous distribution are the heights of persons ,the speed of a vehicle., and so on
- Associate normal models with bell shaped distribution of data and the empirical rule.
- connect <u>Normal distribution</u> to sums of like sized effects with central limit theorem
- use histograms and normal quantile plots to judge whether the data match the assumptions of a normal model.
<u>Conclusion</u>:-
Given data use a Poisson distribution model when events happen at a constant rate over time or space.
Answer:
(y-3)^2=y^2+(2×-3×y)+9
=y^2-6y+9
Step-by-step explanation:
(a+b)^2=a^2+2ab+b^2
The answer will be <span>sin<span>(<span>−1</span>)</span></span>−32<span>=<span>−<span>32.841471 Im not sure but thats what i think</span></span></span>
Answer:
P(C|Y) = 0.5.
Step-by-step explanation:
We are given the following table below;
X Y Z Total
A 32 10 28 70
B 6 5 25 36
C 18 15 7 40
Total 56 30 60 146
Now, we have to find the probability of P(C/Y).
As we know that the conditional probability formula of P(A/B) is given by;
P(A/B) =
So, according to our question;
P(C/Y) =
Here, P(Y) =
and P(C
Y) =
{by seeing third row and second column}
Hence, P(C/Y) =
=
= <u>0.5.</u>
Answer:
32470
Step-by-step explanation:
4; 32; 160; 798; 2706; 716
28;128;638;1908;4458
100;510;1270;2550
410;760;1280
350;520
170
7th: 170+520+1280+2550+4458+7164=16142
4; 32; 160; 798; 2706; 7164;16142
28;128;638;1908;4458;8978
100;510;1270;2550;4520
410;760;1280;1970
350;520;690
170;170
8th: 170+690+1970+4520+8978+16142=32470