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kifflom [539]
3 years ago
5

Anyone know how to do this

Mathematics
2 answers:
GrogVix [38]3 years ago
7 0

Answer:

c or a

Step-by-step explanation:

katovenus [111]3 years ago
7 0

Answer:

A(-3,-1)-----A'(-1,2)

B(2,1)------B'(4,4)

here

x is increased by -1--3=2

and

y is increased by2--1= 3

so

<u>A</u><u>.</u><u>(</u><u>x'</u><u>,</u><u>y'</u><u>)</u><u>=</u><u>(</u><u>x</u><u>+</u><u>2</u><u>,</u><u>y</u><u>+</u><u>3</u><u>)</u>

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What dose 2+7x=5x+14 equal
weqwewe [10]

Answer:

x=6

Step-by-step explanation:

2+7x=5x+14

Subtract 2 from both sides:

2+7x-2=5x+14-2

7x=5x+12

Subtract 5x from both sides:

7x-5x=5x+12-5x

2x=12

Divide both sides by 2:

\frac{2x}{2}=\frac{12}{2}

x=6

3 0
3 years ago
Read 2 more answers
Help this question question
Step2247 [10]

Answer:

-65 i suppose

Step-by-step explanation:

7 0
3 years ago
The area of a rectangle is 44m2.The length is 3 2/3. the width is x find the missing length
zimovet [89]
A = lw
44 = 3 2/3 w
w = 44 / (3 2/3)
w = 12
5 0
3 years ago
For a fair coin, suppose you toss the coin 100 times.
Natasha_Volkova [10]

Using the normal distribution, it is found that there is a 0.0005 = 0.05% probability of getting more than 66 heads.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with \mu = np, \sigma = \sqrt{np(1-p)}.

For the binomial distribution, the parameters are given as follows:

n = 100, p = 0.5.

Hence the mean and the standard deviation of the approximation are given as follows:

  • \mu = np = 100(0.5) = 50.
  • \sigma = \sqrt{np(1-p)} = \sqrt{100(0.5)(0.5)} = 5

Using continuity correction, the probability of getting more than 66 heads is P(X > 66 + 0.5) = P(X > 66.5), which is <u>one subtracted by the p-value of Z when X = 66.5</u>.

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

Z = \frac{66.5 - 50}{5}

Z = 3.3

Z = 3.3 has a p-value of 0.9995.

1 - 0.9995 = 0.0005.

0.0005 = 0.05%

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

6 0
2 years ago
Expand &amp; simplify <br> 5<br> (<br> p<br> +<br> 6<br> )<br> −<br> 5<br> (<br> p<br> −<br> 2<br> )
HACTEHA [7]

Answer: 0p + 40

Step-by-step explanation:

5p + 30 - 5p + 10

0p + 40

8 0
3 years ago
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