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sergiy2304 [10]
2 years ago
5

Harry rolls a number cube.what is the probability that he will roll an even number greater then 4

Mathematics
2 answers:
neonofarm [45]2 years ago
4 0

Answer:

2/3 or 80 percent

Step-by-step explanation:

Darina [25.2K]2 years ago
4 0

Answer:

1 out of 6

Step-by-step explanation:

there are 6 sides on a cube and 6 is greater than 4

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castortr0y [4]
The denominator and numerator have to be the same. I'm sosorry if this is wrong but i really tried <3
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What is the numerical sum of the degree measures of ∠DEA and ∠AEB?
inessss [21]
The angles are supplementary, therefore totaling them at 180°.

And because I'm bored, I'll solve for x for you!

(x + 25) + (9x + 10) = 180
10x + 35 = 180
Subtract 35 from both sides.
10x = 145
Divide by 10 on both sides.
x = 14.5
3 0
2 years ago
Read 2 more answers
The mean annual salary for intermediate level executives is about $74000 per year with a standard deviation of $2500. A random s
lidiya [134]

Answer:

11.51% probability that the mean annual salary of the sample is between $71000 and $73500

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 74000, \sigma = 2500, n = 36, s = \frac{2500}{\sqrt{36}} = 416.67

What is the probability that the mean annual salary of the sample is between $71000 and $73500?

This is the pvalue of Z when X = 73500 subtracted by the pvalue of Z when X = 71000. So

X = 73500

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

By the Central Limit Theorem

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

Z = \frac{73500 - 74000}{416.67}

Z = -1.2

Z = -1.2 has a pvalue of 0.1151

X = 71000

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

Z = \frac{71000 - 74000}{416.67}

Z = -7.2

Z = -7.2 has a pvalue of 0.

0.1151 - 0 = 0.1151

11.51% probability that the mean annual salary of the sample is between $71000 and $73500

8 0
2 years ago
The scatterplot and trend line show a positive correlation between advertising costs and sales. The slope was found using the po
andrey2020 [161]
When x = 6.4, y=117, therefore
15*6.4 + b = 117
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Confirm this value by checking (6.6, 120).
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Answer: b = 21
6 0
2 years ago
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What is the fifth term of the geometric sequence?<br> a1 = 120, a2 = 36, a3 = 10.8, a6 = 0.2916
Alisiya [41]
R = a2/a1 = 36/120 = 0.2

a5 = a1 * r^4 = 120 * 0.2^4 = 120 * 0.0016 = 0.192


Hope it helps!

4 0
2 years ago
Read 2 more answers
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