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ad-work [718]
4 years ago
9

The terminal side of an angle in standard position passes through P(-3,-4). What is the value of tan e?

Mathematics
1 answer:
aalyn [17]4 years ago
3 0

Step-by-step explanation:

(-3,\:-4)= (x, \:y)

tan \theta =  \frac{y}{x}  =  \frac{ - 4}{ - 3}  =  \frac{4}{3}  \\

Hence, 4th option is the correct answer.

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−4x + 15= -13<br> what is x?
skelet666 [1.2K]
-4x+15=-13 \ \ \ |-15 \\ \\ -4x=-28 \ \ \ |:(-4) \\ \\ x=7

==================================
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4 0
3 years ago
Read 2 more answers
Help me please please!!!!!!!!
kakasveta [241]

Answer:

Im not sure but i believe it is A. 5

Step-by-step explanation:

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8 0
3 years ago
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Given a normal population whose mean is 675 and whose standard deviation is 44, find each of the following: A. The probability t
NNADVOKAT [17]

Answer:

27.88% probability that a random sample of 5 has a mean between 677 and 693.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 675, \sigma = 44, n = 5, s = \frac{44}{\sqrt{5}} = 19.6774

The probability that a random sample of 5 has a mean between 677 and 693.

This is the pvalue of Z when X = 693 subtracted by the pvalue of Z when X = 677. So

X = 693

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

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{693 - 675}{19.6774}

Z = 0.91

Z = 0.91 has a pvalue of 0.8186

X = 677

Z = \frac{X - \mu}{s}

Z = \frac{677 - 675}{19.6774}

Z = 0.1

Z = 0.1 has a pvalue of 0.5398

0.8186 - 0.5398 = 0.2788

27.88% probability that a random sample of 5 has a mean between 677 and 693.

5 0
4 years ago
The diagram below shows the graph of which inequality?
riadik2000 [5.3K]
The correct inequality is (4).
8 0
4 years ago
A circular pizza costs $19.99. What is the cost of 1 square centimetre if the diameter of the pizza is 36 cm?
butalik [34]

Answer:

$1.29

Step-by-step explanation:

=> (26÷20)-0.01

=> 1.3-0.01

=>1.29

1.29 $ is the answer

4 0
2 years ago
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