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BlackZzzverrR [31]
2 years ago
14

Least to greatest 20%, 1/4,1/8,.31,32%

Mathematics
1 answer:
stira [4]2 years ago
6 0

Answer: 1/8, 20%, 1/4, .31, 32%.  

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Consider the following equations and name the property of equality used to solve for the variable.
Viktor [21]

9514 1404 393

Answer:

  A. subtraction

  B. division

  C. multiplication

  D. addition

Step-by-step explanation:

Observe what is done to the variable. Choose the operation that turns the unwanted value into the appropriate identity element.

A. 3.75 is added. To make that value be 0, we subtract 3.75.

B. -3 is multiplied. To make that value be 1, we divide by -3.

C. m is divided by 5. To make that 1/5 multiplier be 1, we multiply by 5.

D. 4 is subtracted. To make that value be zero, we add 4.

_____

<em>Additional comment</em>

Since subtraction is the same as addition of the opposite, and division is the same as multiplication by the reciprocal, the only two properties we really need are the <em>addition property</em> and <em>multiplication property</em>. Your grader may disagree.

5 0
3 years ago
1/2expand the equation 1/2(3+4t-10)=
Ivanshal [37]

\frac{1}{2} (3 + 4t - 10)

\frac{3}{2}  +  \frac{4t}{2}  -  \frac{10}{2}

(\frac{3}{2}  -  \frac{10}{2})  + 2t

\frac{ - 7}{2}  + 2t

- 3.5 + 2t

8 0
2 years ago
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Suppose that a hypothesis test is conducted. 12 out of 100 subjects have the necessary qualities. The null hypothesis is that th
Veronika [31]

Answer:

Option A

The p-value is less than the significance level of 0.05 chosen and so we reject the null hypothesis H0 and can conclude that the proportion of the subjects who have the necessary qualities is less than 0.2.

Step-by-step explanation:

Normally, in hypothesis testing, the level of statistical significance is often expressed as the so-called p-value. We use p-values to make conclusions in significance testing. More specifically, we compare the p-value to a significance level "α" to make conclusions about our hypotheses.

If the p-value is lower than the significance level we chose, then we reject the null hypotheses H0 in favor of the alternative hypothesis Ha. However, if the p-value is greater than or equal to the significance level, then we fail to reject the null hypothesis H0

though this doesn't mean we accept H0 automatically.

Now, applying this to our question;

The p-value is 0.023 while the significance level is 0.05.

Thus,p-value is less than the significance level of 0.05 chosen and so we reject the null hypothesis H0 and can conclude that the proportion of the subjects who have the necessary qualities is less than 0.2.

The only option that is correct is option A.

5 0
2 years ago
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Answer:

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Step-by-step explanation:

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