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Elena L [17]
3 years ago
12

Need geometry help please

Mathematics
1 answer:
Tatiana [17]3 years ago
8 0

Answer:

I think C

Step-by-step explanation:

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For the given set, first calculate the number of subsets for the set, then calculate the number of proper subsets. {18, 8, 14, 9
kicyunya [14]

Answer:

Subsets of the given set = 32

Proper subset of the given set = 31

Step-by-step explanation:

Given set is {18, 8, 14, 9, 6} having 5 elements.

We know number of subsets of a set having n elements are represented by

2^{n}

where n is the number of elements in the set.

Therefore, subsets of the given set = 2^{5}

= 32

Since original set itself is a subset of its own, is not a proper subset.

Therefore, proper subset of a set = 2^{n}-1

= 2^{5}-1

= 32 - 1

= 31

7 0
3 years ago
In a survey 9 out of 15 named math as their favorite class. express this rate as a decimal
ZanzabumX [31]
0.6 is 9/15 as a decimal.
3 0
3 years ago
The lowest recorded temperature in a town was 4ºF, without the windchill. With the wind, the temperature felt like 10ºF below ze
deff fn [24]

Answer:

umm  it think it is 14

Step-by-step explanation:

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
1 year ago
Wyatt plays on the school baseball team. In the last 10 games, Wyatt was
Ksju [112]

Answer:

Step-by-step explanation:

21 hits / 45 at bats

7/15

5 0
3 years ago
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