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morpeh [17]
3 years ago
10

Help resolve this please

Mathematics
2 answers:
Romashka [77]3 years ago
7 0
I cant see the picture :(
Leokris [45]3 years ago
5 0

Answer:

this is late but 1176?

Step-by-step explanation:

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Please help on this question?
svlad2 [7]
Well we know these two angles are congruent, so we set their angles equal to each other.
5w - 69 = w + 3
4w = 72
w = 18
Now we plug w back into one of the equations, and then multiply whatever number we get by 2.
18 + 3 = 21
21 x 2 = 42
The measure of STU is 42°
4 0
3 years ago
Which measure of center would you use to describe a data set with no extreme values and no big gaps?
xxTIMURxx [149]

Answer:

The median

Step-by-step explanation:

The median always exists. The median does not have to be one of the data

3 0
3 years ago
Read 2 more answers
Hello please help! Solve for X.
scoray [572]

Answer:

-6

Step-by-step explanation:

Add 2x-15 to both sides to get 2x=-12 or x = -6.

4 0
3 years ago
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The number of accidents per week at a hazardous intersection varies with mean 2.2 and standard deviation 1.1. This distribution
cluponka [151]

Answer:

Step-by-step explanation:

Hello!

The definition of the Central Limi Theorem states that:

Be a population with probability function f(X;μ,δ²) from which a random sample of size n is selected. Then the distribution of the sample mean tends to the normal distribution with mean μ and variance δ²/n when the sample size tends to infinity.

As a rule, a sample of size greater than or equal to 30 is considered sufficient to apply the theorem and use the approximation.

X[bar]≈N(μ;σ²/n)

If the variable of interest is X: the number of accidents per week at a hazardous intersection.

There is no information about the distribution of this variable, but a sample of n= 52 weeks was taken, and since the sample is large enough you can approximate the distribution of the sample mean to normal. With population mean μ= 2.2 and standard deviation σ/√n= 1.1/√52= 0.15

I hope it helps!

5 0
3 years ago
What is the difference between DEPENDENT and INDEPENDENT probability?
disa [49]

Answer:

Dependent events influence the probability of other events – or their probability of occurring is affected by other events. Independent events do not affect one another and do not increase or decrease the probability of another event happening.

Step-by-step explanation:

see above

5 0
3 years ago
Read 2 more answers
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