All categories

3 years ago

I would really appreciate it if someone could help me with these last few problems

Mathematics

1 answer:

lorasvet [3.4K]3 years ago

7 0

Answer:

Ouestion 5 answers

1)8.5

2)150

3)8

4)15

Step-by-step explanation:

You might be interested in

Twelve buses bring a total of 420 people to The Alhambra in Gramada,

yawa3891 [41]

Answer:

35 people

Step-by-step explanation:

This means we have to do 420/12, or 70/2. This is 35, so there are 35 people on each bus.

5 0

4 years ago

Amanda bought 8 shirts for $132. If long sleeve shirts cost $18 and short sleeve shirts cost $12 , how many of each shirt did sh

babymother [125]

Answer:

has to be

Step-by-step explanation:

the first one

4 0

3 years ago

Read 2 more answers

From past experience, a company has found that in carton of transistors: 92% contain no defective transistors 3% contain one def

jasenka [17]

Answer:

$E(X) = 0*0.92 + 1*0.03 +2*0.03 +3*0.02 = 0.1500$

In order to find the variance we need to find first the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i)$

And replacing we got:

$E(X^2) = 0^2*0.92 + 1^2*0.03 +2^2*0.03 +3^2*0.02 = 0.3300$

The variance is calculated with this formula:

$Var(X) = E(X^2) -[E(X)]^2 = 0.33 -(0.15)^2 = 0.3075$

And the standard deviation is just the square root of the variance and we got:

$Sd(X) = \sqrt{0.3075}= 0.5545$

Step-by-step explanation:

Previous concepts

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).

Solution to the problem

LEt X the random variable who represent the number of defective transistors. For this case we have the following probability distribution for X

X 0 1 2 3

P(X) 0.92 0.03 0.03 0.02

We can calculate the expected value with the following formula:

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

And replacing we got:

$E(X) = 0*0.92 + 1*0.03 +2*0.03 +3*0.02 = 0.1500$

In order to find the variance we need to find first the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i)$

And replacing we got:

$E(X^2) = 0^2*0.92 + 1^2*0.03 +2^2*0.03 +3^2*0.02 = 0.3300$

The variance is calculated with this formula:

$Var(X) = E(X^2) -[E(X)]^2 = 0.33 -(0.15)^2 = 0.3075$

And the standard deviation is just the square root of the variance and we got:

$Sd(X) = \sqrt{0.3075}= 0.5545$

8 0

4 years ago

Where should city planners place a statue in a triangular park so that it is equidistant from each of the straight paths that en

natta225 [31]

I believe it is the centroid

8 0

4 years ago

Read 2 more answers

What is the measure of ∠x? Please help!!

Ksju [112]

Answer:

Step-by-step explanation:

180-107=73

8 0

3 years ago