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Simora [160]
4 years ago
14

PLEASE HELP ME ILL GIVE YOU 15

Mathematics
2 answers:
rodikova [14]4 years ago
6 0

Answer:

D

Step-by-step explanation:

xxMikexx [17]4 years ago
4 0

Answer:

I believe that it is d .

correct me if I'm wrong

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An urn contains 5 are red balls and 6 blue balls. Suppose 5 are randomly selected without replacement. What is the probability t
Viefleur [7K]

Answer:

27.94%

Step-by-step explanation:

The statement tells us that we have 5 red balls and 6 blue balls, that is, there are 11 in total (5 + 6)

So the probability of red balls = 5/11 and blue balls probability = 6/11

Let X be the number of red balls of those 5 selected balls.

 Then X follows a binomial distribution with the following parameters:

n = 5

p = 5/11

q = 6/11

P (X) = nCx * p ^ (x) * q ^ (n -x)

required probability is P (X = 3), replacing:

P (X = 3) = 5C3 * (5/11) ^ (3) * (6/11) ^ (5 -3)

P (X = 3) = 5! / (3! (5-3)!) * 0.02794

P (X = 3) = 10 * 0.02794

P (X = 3) = 0.2794

Which means that the probability is 27.94%

5 0
3 years ago
Need help!!!! don't know what I'm doing
Vsevolod [243]

Answer:

10,000,010

Step-by-step explanation:

10^7+9+1^3

10^7=10,000,000

1^3=1

9+10,000,000+1=10,000,010

5 0
3 years ago
An athlete's heart beats an average of 150 times per minute while running. How many times does the athlete's heart beat during a
e-lub [12.9K]
19500 times because
5 times 26 = 130 (how many minutes)
and
now just multiply how many minutes (130) times how many heart beats per minute (150) to get 19500
3 0
3 years ago
Read 2 more answers
On average, 28 percent of 18 to 34 year olds check their social media profiles before getting out of bed in the morning. Suppose
Lostsunrise [7]

Answer:

0.7881 = 78.81% probability that the percent of 18 to 34 year olds who check social media before getting out of bed in the morning is, at most, 32.

Step-by-step explanation:

When the distribution is normal, we use 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.

In this question:

\mu = 28, \sigma = 5

Find the probability that the percent of 18 to 34 year olds who check social media before getting out of bed in the morning is, at most, 32.

This is the pvalue of Z when X = 32. So

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

Z = \frac{32 - 28}{5}

Z = 0.8

Z = 0.8 has a pvalue of 0.7881

0.7881 = 78.81% probability that the percent of 18 to 34 year olds who check social media before getting out of bed in the morning is, at most, 32.

5 0
3 years ago
1. Kaleb worked at a toy store during his summer vacation from
aleksandr82 [10.1K]

Answer:

1. $10.56

Step-by-step explanation:

950.40÷90=10.56

7 0
3 years ago
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