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Sati [7]
3 years ago
13

Help me please??????

Mathematics
1 answer:
valentina_108 [34]3 years ago
4 0

Answer:

I'm pretty sure it's D

if not then maybe B

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Does 5+4=8 and does 1+1=2​
stiks02 [169]

Answer:

5 + 4 = 8 (False)

1 + 1 = 2 (True)

Step-by-step explanation:

<u>First Case:</u>

5+4=8

No this is not correct as when 5 is added to 4 then the result should be - (1+1+1+1+1) + (1+1+1+1)

= 1 + 1 + 1 + 1 + 1 + 1 + 1 +1 +1

= 9

So this is not correct.

<u>Second</u><u> </u><u>C</u><u>ase</u><u>:</u>

1 + 1 = 2

Yes this is correct when 1 and 1 are added for two times it results in 2.

3 0
3 years ago
Double the product of 6 and 7 expression
sergejj [24]
The correct answer would be 6×7×2.
5 0
4 years ago
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Simplify the expression below.
Mashutka [201]

Answer:

D. 10^10

Step-by-step explanation:

Multiplying numbers with exponents rule : a^b*a^c=a^b^+^c

explanation of rule : we simply keep the bases the same and add the exponents.

10^3 • 10^7

keep the base as 10 and add the exponents

10^3 * 10^7 =10^3^+^7=10^1^0

Keep in mind that this only works when the bases are the same.

7 0
3 years ago
Read 2 more answers
A car travels 220 miles in 4 hours. what is the rate of the car in miles per hour
mixas84 [53]
Answer is 55mph.....
7 0
4 years ago
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Suppose we have a population that does not follow the normal distribution. What minimum sample size we should select in order to
Pepsi [2]

Answer:

D. 30

Step-by-step explanation:

Having a population that doesn't follow normal distribution (skewed) can still have sampling distribution that is completely normal. This fact is presented in the Central Limit Theorem.

Central Limit Theorem: states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, we just need to take a large sample.

So how much sample size do we need?

There is no straight forward answer to this rather we have to analyse the situation closely!

1. If the population distribution is already normal then a smaller sample size would be enough to ensure normal distribution.

2. If the population distribution is very skewed than a larger number of sample size is needed to ensure normal distribution. The rule of thumb is to take sample size equal to or more than 30 to be on safer side. This is the case in this problem hence option D fits the best.

5 0
4 years ago
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