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3 years ago

I don’t understand, can someone please explain this to me because I have more questions related to this

Mathematics

2 answers:

natima [27]3 years ago

5 0

Find g

Write your answer in simplest radical form

Alja [10]3 years ago

4 0

The 5 multiplies into the 1/5. This gives you 5/5 which is 1. Then 4^1 is simply 4.

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Its when two angles are congruent

Step-by-step explanation:

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3 years ago

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KengaRu [80]

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3 years ago

Read 2 more answers

Assume that when adults with smartphones are randomly selected, 61% use them in meetings or classes. If 8 adult smartphone user

podryga [215]

Answer:

0.1147

Step-by-step explanation:

When adults with smartphones are randomly selected, 61% use them in meetings or classes, then

the probability of using the smartphone is $p=0.61;$

the probability of not using the smartphone is $q=1-p=1-0.61=0.39.$

If 8 adult smartphone users are randomly selected, the probability that exactly 3 of them use their smartphones in meetings or classes can be calculated using binomial distribution as

$C^8_3\cdot p^3\cdot q^{8-3}=C^8_3\cdot (0.61)^3\cdot (0.39)^5$

Note that

$C^8_3=\dfrac{8!}{3!(8-3)!}=\dfrac{5!\cdot 6\cdot 7\cdot 8}{2\cdot 3\cdot 5!}=\dfrac{6\cdot 7\cdot 8}{2\cdot 3}=7\cdot 8=56,$

then the probabilty is

$56\cdot (0.61)^3\cdot (0.39)^5\approx 0.1147$

8 0

3 years ago

Consider a value to be significantly low if its z score less than or equal to minus−2 or consider a value to be significantly hi

katrin2010 [14]

Answer:

Test scores of 10.2 or lower are significantly low.

Test scores of 31.4 or higher are significantly high.

Step-by-step explanation:

Problems of normally distributed samples can be solved using 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 problem, we have that:

$\mu = 20.8, \sigma = 5.3$