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ch4aika [34]
2 years ago
11

For each set of measures, choose whether the conditions determine a unique triangle, more than one triangle, or no triangle.

Mathematics
1 answer:
Zanzabum2 years ago
8 0

Answer: 1+1=3 if u get it u get it

Step-by-step explanation:

You might be interested in
What is the area of triangle below?
kenny6666 [7]

Answer:

14

Step By Step Explanation:

7×4/2

=7×2

=14

Have a nice day! :)

-Vana

7 0
2 years ago
The probability of Tina's winning a tennis game is 75%. What is the probability that Tina will lose a game A 10% B 25% C 50% D 7
Flauer [41]

Answer:

<u>The correct answer is B. 25%</u>

Step-by-step explanation:

If Tina's probability of winning a tennis game is 75%, therefore:

(100% - 75%) = Probability that Tina will lose a game

25% = Probability that Tina will lose a game

<u>The correct answer is B. 25%</u>

6 0
3 years ago
An HP laser printer is advertised to print text documents at a speed of 18 ppm (pages per minute). The manufacturer tells you th
aliya0001 [1]

Answer:

0.227 = 22.7% probability that the mean printing speed of the sample is greater than 18.12 ppm.

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 normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, 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.

Mean of 17.42 ppm and a standard deviation of 3.25 ppm.

This means that \mu = 17.42, \sigma = 3.25

Sample of 12:

This means that n = 12, s = \frac{3.25}{\sqrt{12}}

Find the probability that the mean printing speed of the sample is greater than 18.12 ppm.

This is 1 subtracted by the p-value of Z when X = 18.12.

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

By the Central Limit Theorem

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

Z = \frac{18.12 - 17.42}{\frac{3.25}{\sqrt{12}}}

Z = 0.75

Z = 0.75 has a pvalue of 0.773.

1 - 0.773 = 0.227

0.227 = 22.7% probability that the mean printing speed of the sample is greater than 18.12 ppm.

4 0
3 years ago
Find the points on x-axis where the circle with equation X square + Y square - 8 x - 8 Y - 9 = 0
Mamont248 [21]

Answer:

(- 1, 0) and (9, 0 )

Step-by-step explanation:

To find the x- intercepts let y = 0 in the equation and solve for x, that is

x² + y² - 8x - 8y - 9 = 0

x² - 8x - 9 = 0 ← in standard form

(x - 9)(x + 1) = 0 ← in factored form

Equate each factor to zero and solve for x

x - 9 =0 ⇒ x = 9

x + 1 = 0 ⇒ x = - 1

x- intercepts are (- 1, 0 ) and (9, 0 )

4 0
2 years ago
Help its pre-algebra haha help plz
maks197457 [2]

Answer:

8 ramen bowls

4 pho bowls

Step-by-step explanation:

12-4=8

8 0
2 years ago
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