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Crazy boy [7]
3 years ago
14

If quadrilateral LMNO is a square, find the missing measures. Round your answers to the nearest tenth, if necessary. LN=46. What

is OM, PN, ON and MN?

Mathematics
1 answer:
aleksley [76]3 years ago
4 0

The values of OM, PN, ON and MN of the given square are;

OM = 46

PN = 23

ON = 32.5

MN = 32.5

<h3>Pythagorean theorem</h3>

We are given;

LN = 46

  • Now, LN is the diagonal of the square and as such to get the sides of the square, we will make use of pythagoras theorem to get;

LO² + ON² = 46²

Since LO = ON, then;

2LO² = 46²

LO² = 46²/2

LO = √1058

LO = 32.5

Thus;

LO = ON = MN = 32.5

For the diagonals;

LN = OM = 46

Also; LP = PN = 46/2 = 23

Read more about pythagoras theorem at;brainly.com/question/3317136

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An example problem in a Statistics textbook asked to find the probability of dying when making a skydiving jump.
MArishka [77]

Answer:

(a) 0.999664

(b) 15052

Step-by-step explanation:

From the given data of recent years,  there were about 3,000,000 skydiving jumps and 21 of them resulted in deaths.

So, the probability of death is \frac{21}{3000000}==0.000007.

Assuming, this probability holds true for each skydiving and does not change in the present time.

So, as every skydiving is an independent event having a fixed probability of dying and there are only two possibilities, the diver will either die or survive, so, all skydiving can be regarded as is Bernoulli's trial.

Denoting the probability of dying in a single jump by q.

q=7\times 10^{-6}=0.000007.

So, the probability of survive, p=1-q

\Rightarrow p=1-7\times 10^{-6}=0.999993.

(a) The total number of jump he made, n=48

Using Bernoulli's equation, the probability of surviving in exactly 48 jumps (r=48) out of 48 jumps (n=48) is

=\binom(n,r)p^rq^{n-r}

=\binom(48,48)(0.999993)^{48}(0.000007)^{48-48}

=(0.999993)^{48}=0.999664 (approx)

So, the probability of survive in 48 skydiving is 0.999664,

(b) The given probability of surviving =90%=0.9

Let, total n skydiving jumps required to meet the surviving probability of 0.9.

So, By using Bernoulli's equation,

0.9=\binom {n }{r} p^rq^{n-r}

Here, r=n.

\Rightarrow 0.9=\binom{n}{n}p^nq^{n-n}

\Rightarrow 0.9=p^n

\Rightarrow 0.9=(0.999993)^n

\Rightarrow \ln(0.9)=n\ln(0.999993) [ taking \log_e both sides]

\Rightarrow n=\frac {\ln(0.9)}{\ln(0.999993)}

\Rightarrow n=15051.45

The number of diving cant be a fractional value, so bound it to the upper integral value.

Hence, the total number of skydiving required to meet the 90% probability of surviving is 15052.

3 0
3 years ago
(8.18) A state representative wants to know how voters in his district feel about enacting a statewide smoking ban in all enclos
ivann1987 [24]

Answer: 770 voters in his district.

Step-by-step explanation:

  • Population is the largest group of individuals carrying some specific similar characteristics.
  • A sample is a subset of population that is used to represents the entire population.

Given : A state representative wants to know how voters in his district feel about enacting a statewide smoking ban in all enclosed public places, including bars and restaurants, as well as several other current statewide issues.

So the population here is : Voters in His districts .

He mails a questionnaire addressing these issues to an SRS (simple random sample) of 770 voters in his district. Of the 770 questionnaires mailed, 147 were returned.

Thus , the sample is : <u>770 voters in his district</u>.

Basically 770 voters is a subset of the entire population voters in his district.

5 0
3 years ago
A procurement specialist has purchased 25 resistors from vendor 1 and 30 resistors from vendor 2. Let
Ulleksa [173]

Answer:

Normal Distribution

Standard error = 0.473

Step-by-step explanation:

We are given the following information:

A procurement specialist has purchased 25 resistors from vendor 1  are assumed to be normally distributed with mean 100 ohms and standard deviation 1.5 ohms.

x_{1,1}, x_{1,2}, ... , x_{1,25}\\\mu_{1} = 100\\\sigma_1 = 1.5

A procurement specialist has purchased 30 resistors from vendor 2 are assumed to be normally distributed with mean 105 ohms and standard deviation 2.0 ohms.

x_{2,1}, x_{2,2}, ... , x_{2,30}\\\mu_{2} = 105\\\sigma_1 = 2.0

The difference of two independent normally distributed random variables is normal, with its mean being equal to the difference of the two means, and its variance being the sum of the two variances.

Thus, the sampling distribution of X_1-X_2 is a normal distribution.

Mean =

100 - 105 = -5

Standard error =

\sqrt{\displaystyle\frac{\sigma_1^2}{n_1} + \frac{\sigma_2^2}{n_2}}\\\\=\sqrt{\displaystyle\frac{(1.5)^2}{25} + \frac{(2)^2}{30}}\\\\= 0.473

8 0
3 years ago
A team of runners is needed to run a 1/4 -mile relay race. If each runner must run 1/16 mile, how many runners will be needed?
gtnhenbr [62]

Answer:

You will need four runners.

Step-by-step explanation:

If you multiply 1/16 by four you will get 4/16, which is simplified to 1/4

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5.<br> 130°<br> X<br> Using the image above, find the value of Lx.<br> A 200
eduard

Answer:

C) 50 degrees

Step-by-step explanation:

angles x and 130 degrees are supplementary in that they add up to 180 degrees.

x + 180 - 130 = 50 degrees

6 0
3 years ago
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