Anybody wanna help volunteer?

In the figure below angle y and angle x form vertical angles.Angle y forms a straight line with 60° angle and 70° angle right an

xxMikexx [17]

Answer:

x = 50

Step-by-step explanation:

The angles 70, 60, and y are supplementary, meaning that the sum of them is 180. Therefore,

70 + 60 + y = 180 and

y = 50

That means that x = 50 as well, since vertical angles are congruent

3 0

3 years ago

Solve for x. Round to the nearest tenth, if necessary.

Igoryamba

Answer: $33.2$

Step-by-step explanation:

Given

CE=85

$\angle C=67^{\circ}$

In $\triangle CDE$ , using trigonometry

$\Rightarrow \cos 67^{\circ}=\dfrac{CD}{CE}\\\\\Rightarrow CD=CE\cos 67^{\circ}\\\\\Rightarrow CD=85\times \cos 67^{\circ}\\\\\Rightarrow CD=33.2$

6 0

3 years ago

Read 2 more answers

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never [62]

It would be 12.5 square miles I would appreciate the Brainliest

8 0

3 years ago

A simple random sample of 110 analog circuits is obtained at random from an ongoing production process in which 20% of all circu

telo118 [61]

Answer:

64.56% probability that between 17 and 25 circuits in the sample are defective.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .