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Naddika [18.5K]
2 years ago
11

What is your fav color? This is for Hulksmash89!

Mathematics
2 answers:
stellarik [79]2 years ago
8 0

Answer:

any color blue

Step-by-step explanation:

SpyIntel [72]2 years ago
7 0

Answer:

Purple, thanks for the points

Step-by-step explanation:

You might be interested in
Please help with these math questions
anastassius [24]
4) x=16
Vertical angles have equal angles when two lines intersect, which they do in this case. 
3x-3=2x+13
Solve for x:
x=16

5) 34 degrees
Lines AK and MJ bisect each other perpendicually, so <ADJ is 90 degrees. 
4x+3x-8=90
7x-8=90
7x=98
x=14
<CDJ=3x-8
=3(14)-8
=34 degrees

Hope this helps :)

6 0
3 years ago
How do you convert 6 2/3 divides by 9 2/3 into a proper fraction
iris [78.8K]

The answer to 6 2/3 divide by 9 2/3 should equal to 20/29.

4 0
2 years ago
Suppose you know that ∠S and ∠Y are complementary, and that m∠S = 4(m∠Y) − 185°. Find m∠Y.
alexira [117]

Answer:

Step-by-step explanation:

so S and Y are complementary...that means when added, they equal 90 degrees.

S + Y = 90

S = 4Y - 185

4Y - 185 + Y = 90

5Y - 185 = 90

5Y = 90 + 185

5Y = 275

Y = 275 / 5

Y = 55 <===== angle Y is 55

S + Y = 90

S + 55 = 90

S = 90 - 55

S = 35

6 0
3 years ago
Find (3.3 × 10^4) + (1.9 × 10^5)
scoundrel [369]

Answer:

2.23 \times 10^{5}

Step-by-step explanation:

We have to find the sum of two numbers following the steps as described in the question.

The question is in the form of fill in the blanks.

Now, the given sum is (3.3 \times 10^{4} )+(1.9 \times 10^{5} )

= (3.3 \times 10^{4} )+(19 \times 10^{4} )

= (3.3+19) \times 10^{4}

= 22.3 \times 10^{4}

= 2.23 \times 10^{5} (Answer)

5 0
3 years ago
Suppose a research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes during a week. A samp
shutvik [7]

Answer:

0.9910 = 99.10% probability that a sample of 170 steady smokers spend between $19 and $21

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 20, standard deviation of 5:

This means that \mu = 20, \sigma = 5

Sample of 170:

This means that n = 170, s = \frac{5}{\sqrt{170}}

What is the probability that a sample of 170 steady smokers spend between $19 and $21?

This is the p-value of Z when X = 21 subtracted by the p-value of Z when X = 19.

X = 21

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

By the Central Limit Theorem

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

Z = \frac{21 - 20}{\frac{5}{\sqrt{170}}}

Z = 2.61

Z = 2.61 has a p-value of 0.9955

X = 19

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

Z = \frac{19 - 20}{\frac{5}{\sqrt{170}}}

Z = -2.61

Z = -2.61 has a p-value of 0.0045

0.9955 - 0.0045 = 0.9910

0.9910 = 99.10% probability that a sample of 170 steady smokers spend between $19 and $21

3 0
3 years ago
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