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3 years ago

Plz help me thanks so much for helping

Mathematics

1 answer:

11111nata11111 [884]3 years ago

6 0

Answer:

total cost = 351.33

Step-by-step explanation:

The tax is found by multiply the cost times the tax rate

tax = 334.60 * .05

tax =16.73

Add the tax to the cost of the item to get the total cost

total cost = 16.73 + 334.60

total cost = 351.33

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if 7 men and 5 womean have applied for job and 3 applicants are randomly selected from the probability that 2 are men

barxatty [35]

The probability that 2 men are selected is 49/144

Probability is the likelihood or chance that an event will occur.

If 7 men and 5 women have applied for job, the total number of people that applied will be 12 people

Pr(2 men are selected) = 7/12 * 7/12
Pr(2 men are selected) = 49/144

Hence the probability that 2 men are selected is 49/144

Learn more on probabaility here:brainly.com/question/24756209

3 0

2 years ago

Read 2 more answers

Determine whether a probability distribution is given. If a probability distribution is given, find its mean and standard deviat

drek231 [11]

Answer:

$E(X) = \sum_{i=1}^n X_i P(X_i) = 0*0.031 +1*0.156+ 2*0.313+3*0.313+ 4*0.156+ 5*0.031 = 2.5$

We can find the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 0^2*0.031 +1^2*0.156+ 2^2*0.313+3^2*0.313+ 4^2*0.156+ 5^2*0.031 =7.496$

And we can calculate the variance with this formula:

$Var(X) =E(X^2) -[E(X)]^2 = 7.496 -(2.5)^2 = 1.246$

And the deviation is:

$Sd(X) = \sqrt{1.246}= 1.116$

Step-by-step explanation:

For this case we have the following probability distribution given:

X 0 1 2 3 4 5

P(X) 0.031 0.156 0.313 0.313 0.156 0.031

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).

We can verify that:

$\sum_{i=1}^n P(X_i) = 1$

And $P(X_i) \geq 0, \forall x_i$

So then we have a probability distribution

We can calculate the expected value with the following formula:

$E(X) = \sum_{i=1}^n X_i P(X_i) = 0*0.031 +1*0.156+ 2*0.313+3*0.313+ 4*0.156+ 5*0.031 = 2.5$

We can find the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 0^2*0.031 +1^2*0.156+ 2^2*0.313+3^2*0.313+ 4^2*0.156+ 5^2*0.031 =7.496$

And we can calculate the variance with this formula:

$Var(X) =E(X^2) -[E(X)]^2 = 7.496 -(2.5)^2 = 1.246$

And the deviation is:

$Sd(X) = \sqrt{1.246}= 1.116$

6 0

3 years ago

Please helpppp<br><br> Extra points and brainleist

vladimir1956 [14]

Answer:

Step-by-step explanation:

x² - 4x - 7 = 0

(x - 2)² = 11

5 0

3 years ago

Logic gates I have no clue how to do this

kobusy [5.1K]

Answer: It is the 3rd option. But I am not sure if it is correct- pls tell me back if the answer was correct!

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2 years ago

I need help with math please and thank you

Harrizon [31]

Answer:

I'm pretty sure its 1/4

Step-by-step explanation:

set up the composite function and evaluate

3 0

2 years ago