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3 years ago

Alfonso earned a score of 87.5% on his test. he did 56 problems correctly. how many problems were on the test?

Mathematics

2 answers:

nydimaria [60]3 years ago

8 0

Are there options or is it an estimated guess?

Yuri [45]3 years ago

5 0

64. 87.5% in fractions is 7/8. We divide 56 by 7/8, and get to 64.
56 ÷ 7/8= 56 x 8/7= 448/7, which is reduced into 64.

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3 years ago

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SCORPION-xisa [38]

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3 years ago

In the 1970s, due to world events, there was a gasoline shortage in the United States. There were often long lines of cars wai

barxatty [35]

Answer:

Part A: The average car length is 9.1 feet to the nearest tenth foot

Part B: The line would be 9100 feet to contained 1000 cars

Step-by-step explanation:

* Lets explain how to solve the problem

# Part A:

- There were 62 cars in a line that stretched 567 feet

- The cars are lined up bumper-to-bumper

- That means there is no empty spaces between the cars

* To find the average length of the car we will divide the length of

the line by the numbers of the cars

∵ The average car length = length of the line/number of cars

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∵ The numbers of the cars is 62 cars

∴ The average car length = 567/62 = 9.1 feet

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# Part B:

- There are 1000 cars

- We need to find the length of line which contained the cars

∵ The average car length = length of the line/number of cars

∵ The average of car length is 9.1 feet

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3 years ago

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

Alfonso earned a score of 87.5% on his test. he did 56 problems correctly. how many problems were on the​ test?

Alfonso earned a score of 87.5% on his test. he did 56 problems correctly. how many problems were on the test?