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Slav-nsk [51]
3 years ago
7

If Mags (m) is 34 years old, how old is Vector (v)

Mathematics
1 answer:
Eddi Din [679]3 years ago
3 0

Answer:

46

Step-by-step explanation:

not sure

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In the diagram, triangle GEF and triangle HEF are congruent. What is the value of x?
Harrizon [31]
2(x+2) = 60
x+2 = 30
x = 28
The correct answer is C
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What is the least common denominator for the fractions1/6and 3/4 ?
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A. 12; Least common denominator is the least multiple that the denominator have together. So you multiply the denominators until you get the first number they both have in common.
6*1 = 6
6*2 =12

4*1 =4
4*2 =8
4*3 = 12 

Since the first number they both have in common is 12, the least common denominator is 12
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When the variable is on both sides of the inequality it must be isolated on one side and it doesn’t matter which side
frosja888 [35]

Answer:

True

Step-by-step explanation:

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Which of the numbers below could be terms in the sequence an = 3n + 16? Check all that apply.
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Since the area under the normal curve within two standard deviations of the mean is 0.95, the area under the normal curve that c
alukav5142 [94]

Answer:

X \sim N (\mu ,\sigma)

And for this case we know this condition:

P(\mu-2\sigma

By the complement rule we know that:

P(X< \mu -2\sigma \cup X>\mu +2\sigma) = 1-0.95=0.05

But since the distribution is symmetrical we know that:

P(X\mu +2\sigma) = 0.025

So then the statement for this case is FALSE.

b. False

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

For this case if we define the random variable of interest X and we know that this random variable follows a normal distribution:

X \sim N (\mu ,\sigma)

And for this case we know this condition:

P(\mu-2\sigma

By the complement rule we know that:

P(X< \mu -2\sigma \cup X>\mu +2\sigma) = 1-0.95=0.05

But since the distribution is symmetrical we know that:

P(X\mu +2\sigma) = 0.025

So then the statement for this case is FALSE.

b. False

5 0
3 years ago
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