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lesya [120]
4 years ago
8

What is the smallest positive difference between two fractions if the denominators of two fractions are 2 and 3?

Mathematics
2 answers:
weqwewe [10]4 years ago
4 0

Answer:

1/6

Step-by-step explanation:

1/2-1/3=1/6

puteri [66]4 years ago
3 0

Answer:

0.667 is greater than 0.5. Therefore, 2/3 is greater than 1/2 and the answer to the question "Is 2/3 greater than 1/2?" is yes. Note: When comparing fractions such as 2/3 and 1/2, you could also convert the fractions (if necessary) so they have the same denominator and then compare which numerator is larger.

Step-by-step explanation:

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A new bookcase costs $76 if you buy it already painted the color you want. If you buy it unfinished (not painted at all) then it
lapo4ka [179]

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3 years ago
Round 72.163 to the nearest tens place.
Viktor [21]

Answer:

72.2 is the correct answer

Step-by-step explanation:

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3 years ago
I need help asap. please and thank you
Gwar [14]
Read the coordinates of points on the line:

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3 years ago
If x is a rational number, then x + 12 could NOT be:
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Step-by-step explanation:

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3 years ago
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barxatty [35]

Answer:

This is a <u>TWO</u>-tailed test and the zcv is +/- 1.96.

Step-by-step explanation:

When we talk about two tailed tests in applied statistics, we are talking about a test method in  which the critical area of a distribution is observed both when is greater and less than an observed range of values.

It is important for checking null-hypothesis and testing for statistical significance.

In this example since you want to know whether students who play sports have HIGHER or LOWER BMI than students who do not exercise, then you need to check the cases at the "back tail" of the distribution and at the "front tail" thus making it a two tailed test, in order to check if there is an effect from calorie burning or increased body mass, compared to a regular Joe.

Meanwhile, the ZCV or Z critical Value (from the z tables), is the "range" in which the hypothesis would be applicable. In standardized two tailed testing, a value of 1.96 is usually taken to delimit the reject regions in which the testing will fail, meaning that when you check the data, calculate the mean and alpha values, and then check them in the Z-table, if the z value falls in between -1.96 and +1.96 then the hypothesis would be correct, but if it falls above or bellow those values, the hypothesis would be rejected.

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