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kap26 [50]
3 years ago
10

If sin=3 by 5 and cos =4 by 5 find tan​

Mathematics
1 answer:
Afina-wow [57]3 years ago
7 0

Answer:

<h3>3/4</h3>

Step-by-step explanation:

tan =   \frac{sin}{cos }

<h3> =3/5/4/5</h3>

=3/5 × 5/4

=15/20

<h3> </h3><h3> =3/4</h3>

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Answer:

B. 4.61 miles

Step-by-step explanation:

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3 years ago
A book contains 400 pages. If their are 80 typing errors randomly distributed throughout the book, use the Poisson distribution
Nikitich [7]

Using the Poisson distribution to determine the probability that a page contains exactly 2 errors is 0.0163

<h3><u>Solution:</u></h3>

Given that, a book contains 400 pages.

There are 80 typing errors randomly distributed throughout the book,

We have to use the Poisson distribution to determine the probability that a page contains exactly 2 errors.

<em><u>The Poisson distribution formula is given as:</u></em>

\text { Probability distribution }=e^{-\lambda} \frac{\lambda^{k}}{k !}

Where, \lambda is event rate of distribution. For observing k events.

\text { Here rate of distribution } \lambda=\frac{\text { go mistakes }}{400 \text { pages }}=\frac{1}{5}

And, k = 2 errors.

\begin{array}{l}{\text { Then, } \mathrm{p}(2)=e^{-\frac{1}{5}} \times \frac{\frac{1}{5}}{2 !}} \\\\ {=2.7^{-\frac{1}{5}} \times \frac{\frac{1}{5^{2}}}{2 \times 1}} \\\\ {=\frac{1}{2.7^{\frac{1}{5}}} \times \frac{\frac{1}{25}}{2}}\end{array}

\begin{array}{l}{=\frac{1}{\sqrt[5]{2.7}} \times \frac{1}{25} \times \frac{1}{2}} \\\\ {=\frac{1}{50 \sqrt[5]{2.7}}} \\\\ {=0.0163}\end{array}

Hence, the probability is 0.0163

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4 years ago
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Answer:

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Step-by-step explanation:

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What is the purpose of a simple linear regression? Group of answer choices To predict scores a dependent variable from data from
labwork [276]

Answer:

<h3>The purpose of a single linear regression is <u>To predict a dependent variable from data from multiple independent variables</u></h3>

Step-by-step explanation:

The purpose of a simple linear regression is same as a correlation in that the purpose is to measure a linear relationship between two variables to the end.

In that particular case , its purpose is  to "predict" the data from a dependent variable to the data from atleast one independent variable.

<h3>The purpose of a single linear regression is <u>To predict a dependent variable from data from multiple independent variables</u></h3>
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