Question

what is the answer μ' =
A)A B)mue C) Null D)0 ​

Answer 1

Answer:

B) mue

Step-by-step explanation:

hope it help

mark as brainliest

Answer 2

Answer:

C) Null

Step-by-step explanation:

Symbol Symbol Name Meaning / definition Example

P(A) probability function probability of event A P(A) = 0.5

P(A ∩ B) probability of events intersection probability that of events A and B P(A∩B) = 0.5

P(A ∪ B) probability of events union probability that of events A or B P(A ∪ B) = 0.5

P(A | B) conditional probability function probability of event A given event B occured P(A | B) = 0.3

f (x) probability density function (pdf) P(a ≤ x ≤ b) = ∫ f (x) dx  

F(x) cumulative distribution function (cdf) F(x) = P(X≤ x)  

μ population mean mean of population values μ = 10

E(X) expectation value expected value of random variable X E(X) = 10

E(X | Y) conditional expectation expected value of random variable X given Y E(X | Y=2) = 5

var(X) variance variance of random variable X var(X) = 4

σ2 variance variance of population values σ2 = 4

std(X) standard deviation standard deviation of random variable X std(X) = 2

σX standard deviation standard deviation value of random variable X σX = 2

median symbol median middle value of random variable x example

cov(X,Y) covariance covariance of random variables X and Y cov(X,Y) = 4

corr(X,Y) correlation correlation of random variables X and Y corr(X,Y) = 0.6

ρX,Y correlation correlation of random variables X and Y ρX,Y = 0.6

∑ summation summation - sum of all values in range of series example

∑∑ double summation double summation example

Mo mode value that occurs most frequently in population  

MR mid-range MR = (xmax + xmin) / 2  

Md sample median half the population is below this value  

Q1 lower / first quartile 25% of population are below this value  

Q2 median / second quartile 50% of population are below this value = median of samples  

Q3 upper / third quartile 75% of population are below this value  

x sample mean average / arithmetic mean x = (2+5+9) / 3 = 5.333

s 2 sample variance population samples variance estimator s 2 = 4

s sample standard deviation population samples standard deviation estimator s = 2

zx standard score zx = (x-x) / sx  

X ~ distribution of X distribution of random variable X X ~ N(0,3)

N(μ,σ2) normal distribution gaussian distribution X ~ N(0,3)

U(a,b) uniform distribution equal probability in range a,b  X ~ U(0,3)

exp(λ) exponential distribution f (x) = λe-λx , x≥0  

gamma(c, λ) gamma distribution f (x) = λ c xc-1e-λx / Γ(c), x≥0  

χ 2(k) chi-square distribution f (x) = xk/2-1e-x/2 / ( 2k/2 Γ(k/2) )  

F (k1, k2) F distribution    

Bin(n,p) binomial distribution f (k) = nCk pk(1-p)n-k  

Poisson(λ) Poisson distribution f (k) = λke-λ / k!  

Geom(p) geometric distribution f (k) =  p(1-p) k  

HG(N,K,n) hyper-geometric distribution    

Bern(p) Bernoulli distribution    

Combinatorics Symbols

Symbol Symbol Name Meaning / definition Example

n! factorial n! = 1⋅2⋅3⋅...⋅n 5! = 1⋅2⋅3⋅4⋅5 = 120

nPk permutation _{n}P_{k}=\frac{n!}{(n-k)!} 5P3 = 5! / (5-3)! = 60

nCk

 

combination

combination _{n}C_{k}=\binom{n}{k}=\frac{n!}{k!(n-k)!} 5C3 = 5!/[3!(5-3)!]=10

hope it hlps !