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Katen [24]
4 years ago
8

Select the two figures that are similar to each other.

Mathematics
2 answers:
Ksju [112]4 years ago
5 0

Answer: Small green rectangle 4/2 and big yellow rectangle 8/4.

Step-by-step explanation: 4/2= 2

8/4= 2

Elodia [21]4 years ago
3 0
Option 4 is twice as big as option 2 those two are the ones similar to each other
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= The average score of Karl's first four math tests is 72 points. After the fifth and the sixth tests, his average score increas
mylen [45]

Answer:

83 points

Step-by-step explanation:

-The formula for average is given as:

\bar X=\frac{1}{n}\sum{x_i}\\\\x_i=Individual \ Test \ scores\\n=number \ of \ scores

Let a be his 5th score and (a+4) of the 6th

#We subtract the sum of the first 4 tests from the 6, to get the sum of the 5th and 6th tests:

(6^{th}+5^{th})=\bar X n_6-\bar X n_4\\\\=75\times 6-72\times 4\\\\=162

#We substitute for the 5th and 6th to solve a:

5^{th}=a\\6^{th}=a+4\\\\a+(a+4)=162\\\\2a=158\\\\a=79\\\\6^{th}=a+4=79+4=83

Hence, Karl score 83 points in his 6th test.

5 0
4 years ago
What is the sum of 3/8 and 1/16
Masja [62]
7/16 is the answer to the addition of those two fractions
6 0
4 years ago
Read 2 more answers
We have a part-whole ratio of 2 : 10. How can we represent this ratio as a percent?
madam [21]
Since there’s a 10 multiple both sides by 10 and it gives you 20/100 which is 20%
4 0
2 years ago
Read 2 more answers
The random variable x is the number of occurrences of an event over an interval of ten minutes. It can be assumed that the proba
givi [52]

The options given don't correspond to the values in the question. The options are from another question where mean is 5.3 and the probability being looked for is for exactly 3 occurrences and 5 occurrences

Answer:

A) 0.6511

B) Poisson distribution

Step-by-step explanation:

We are given;

Mean: μ = 5.4 minutes

Now, we want to find the probability that there are more than 5 occurrences in ten minutes.

This will be written as;

P(x > 5) = 1 - P(x < 5)

P(x < 5) = P(x = 4) + P(x = 3) + P(x = 2) + P(x = 1) + P(x = 0)

We will use Poisson distribution for this. The formula is;

P(x) = [(e^(-μ)) × μ^(x)]/x!

P(0) = [(e^(-5.4)) × 5.4^(0)]/0! = 0.004517

P(1) = [(e^(-5.4)) × 5.4^(1)]/1! = 0.02439

P(2) = [(e^(-5.4)) × 5.4^(2)]/2! = 0.06585

P(3) = [(e^(-5.4)) × 5.4^(3)]/3! = 0.11853

P(4) = [(e^(-5.4)) × 5.4^(4)]/4! = 0.16

Thus;

P(x < 5) = 0.16 + 0.11853 + 0.06585 + 0.004517 = 0.3489

Thus;

P(x > 5) = 1 - P(x < 5) = 1 - 0.3489 = 0.6511

B) like seen from solution A above, we used Poisson distribution formula.

Thus, random variable x satisfies Poisson distribution

3 0
3 years ago
Find the domain and range of the function shown.
Ainat [17]

Answer:

A

Step-by-step explanation:

Remember domain is input and range is output.

Input: All real numbers

Output: [0, infinity)

A

7 0
3 years ago
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