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Nataliya [291]
3 years ago
8

Is there a proportional relationship between x and y? Explain.

Mathematics
2 answers:
myrzilka [38]3 years ago
7 0
as x increases, y increases and as x decreases, y decreases-and that the ratio between them always stays the same.
netineya [11]3 years ago
3 0

Answer:

Where's the question?

Step-by-step explanation:

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182 divided by 7 step-by-step
LuckyWell [14K]

Answer:

26 is the quotient

Step-by-step explanation:

7 * 26 = 182

im not good at explaining but that's the answer

4 0
2 years ago
Departure 5:15 am arrival 11:15 am what is the answer to total flight time
natima [27]

Answer:

6 hours of flight time  I believe

Step-by-step explanation:

3 0
3 years ago
Please help I need it please please
Anni [7]

Answer:

23 %

Step-by-step explanation:

151.34 ÷ 658 × 100

hope this helps

have a nice day <3

6 0
2 years ago
Read 2 more answers
Solve for x: (8x + 15) = 24
Hatshy [7]

Answer:

Step-by-step explanation:

8x + 15 = 24

8x = 9

x = \frac{9}{8}

7 0
3 years ago
Read 2 more answers
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
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