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Alecsey [184]
3 years ago
13

Hey who knows this? i need help

Mathematics
1 answer:
Serjik [45]3 years ago
6 0

Answer:

I don't see any thing there

Step-by-step explanation:

u need to include the picture

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Kelly works at her own nail salon. Today, she did 9 manicures and received $36.00 overall in tips.
____ [38]
Y=9x+36 because she did 9 manicures x is how much is she got paid+ her $36 in tips:)

3 0
3 years ago
In a certain manufacturing process, it is known that, on average, 1 in every 100 items is defective.
Rashid [163]

Answer:

A. 0.009899

B. 0.005624

Step-by-step explanation:

Data:

Let the probability that an item is defective = \frac{1}{100}

The probability that the item is not defective = \frac{99}{100}

The probability that the fifth item is defective = \frac{1}{100}* \frac{98}{99}

                                                                            = 0.009899

Probability that one in 5 items is defective  = 0.005624

5 0
4 years ago
Is it possible to have a function f defined on [ 4 , 5 ] and meets the given conditions? f is not continuous on [ 4 ,5 ] and tak
Nostrana [21]
Yes. 
       
f(x)={x if  4</=X</=5 
8 0
3 years ago
Read 2 more answers
37% of women consider themselves fans of professional baseball. you randomly select six women and ask each if she considers hers
valina [46]

Answer:

(a) 2.22

(b) 1.3986

(c) 1.183

Step-by-step explanation:

Let <em>X</em> denote the number of women who consider themselves fans of professional baseball.

The proportion of women who consider themselves fans of professional baseball is, <em>p</em> = 0.37.

A random sample of <em>n</em> = 6 women are selected and each was asked if she considers herself a fan of professional baseball.

Each woman's reply is independent of the others.

The random variable <em>X</em> thus follows a binomial distribution with parameters <em>n</em> = 6 and <em>p</em> = 0.37.

(a)

Compute the mean of the binomial distribution as follows:

\text{Mean}=np=6\times 0.37=2.22

(b)

Compute the variance of the binomial distribution as follows:

\text{Variance}=np(1-p)=6\times 0.37\times (1-0.37)=1.3986

(c)

Compute the standard deviation of the binomial distribution as follows:

\text{Standard Deviation}=\sqrt{np(1-p)}=\sqrt{6\times 0.37\times (1-0.37)}=1.183

5 0
3 years ago
What numbers go in the blank!?!
Inessa [10]
16 is the correct anwser
7 0
3 years ago
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