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nasty-shy [4]
3 years ago
13

11. Which of the following shows the first 5 terms in

Mathematics
1 answer:
iren2701 [21]3 years ago
5 0
G is the answer to question
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Help pls i will give brainliest answer
natita [175]

Examine one full set:

12/8

simplify

3/2

filling in

3  2

9  6

12  8

18  12

7 0
3 years ago
1. Ajar contains 11 brown and 18 blue marbles. A
KatRina [158]

Answer:

37.931%

Step-by-step explanation:

11 / (11+18)

5 0
3 years ago
Read 2 more answers
4b + 21 = −3(b − 7) + 7b
Lana71 [14]
4b+21=-3b+21+7b
4b+21=4b+21
it means that the expression shows an identity
6 0
4 years ago
A square piece of cheese covers eight square inches of a plate. What is the approximate length of one side of the piece of chees
Setler79 [48]
The area of the cheese is 8 square inches. to find out the sides, you must find the square root of 8. √8 = 2.82.
7 0
3 years ago
For a standardized psychology examination intended for psychology majors, the historical data show that scores have a mean of 50
Volgvan

Answer:

P(\bar X>530)=1-0.808=0.192

Step-by-step explanation:

1) 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".  

Let X the random variable that represent the scores, and for this case we know the distribution for X is given by:

X \sim N(\mu=505,\sigma=170)  

And let \bar X represent the sample mean, the distribution for the sample mean is given by:

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

On this case  \bar X \sim N(505,\frac{170}{\sqrt{35}})

2) Calculate the probability

We want this probability:

P(\bar X>530)=1-P(\bar X

The best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}

If we apply this formula to our probability we got this:

P(\bar X >530)=1-P(Z

P(\bar X>530)=1-0.808=0.192

3 0
3 years ago
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