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Elena L [17]
2 years ago
5

What is the difference of 9/10 and 2/3

Mathematics
2 answers:
kupik [55]2 years ago
7 0
9/10-2/3= 7/30

This is what your looking for
garri49 [273]2 years ago
5 0
9/10-2/3  
First find the LCM for the denom. 30

9*3/10*3 - 2*10/3*10

27/30 - 20/30

7/30

I think thats right:)

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What’s -3 1/9 — (-5 5/9)
Svetradugi [14.3K]
-28/9-(-5 5/9)
-28/9-(50/9)
-28/9-50/9
22/9
= 2 4/9= 2.444444
hope this helps!
7 0
3 years ago
Read 2 more answers
Can someone tell me the answer to this plz
Tpy6a [65]
M8 =43.
Reason:
134+ M8 =180(degrees). This is because angles on a straight line =180 (degrees)

180-134=M8
Therefore:
M<8 =180-134= 43 (degrees)

Hope this helps and makes sense.

Please mark as a brainliest (crowns)
4 0
2 years ago
An object is moving at a speed of 2 feet every 8.5 minutes. Express this speed in meters per hour
jekas [21]

Answer:

4.30m/hr

Step-by-step explanation:

2 feet/8.5 mins is 0.235294118 feet per minute, which is 4.3030553875397 metres per hour, which to 2 s.f. is 4.30

8 0
3 years ago
When you multiply and divide by a negative you have to _______​
Molodets [167]

Answer:

Multiplying and dividing with integers. You also have to pay attention to the signs when you multiply and divide. There are two simple rules to remember: When you multiply a negative number by a positive number then the product is always negative.

Step-by-step explanation:

8 0
3 years ago
Suppose a researcher is testing someone to see if he or she can tell Soda X from Soda​ Y, and the researcher is using 28 ​trials
AlladinOne [14]

Answer:

The probability that a person will get 17 or more​ right, if the person is truly​ guessing, is about 12.9%.

The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.

Step-by-step explanation:

The system of hypothesis fo this case are:

Null hypothesis: p\leq 0.5

Alternative hypothesis: p >0.5

That's a upper right tailed test.

The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.

And this value allows to reject or not the null hypothesis.

If p_v we reject the null hypotheis at the significance level. That indicates strong evidence against the null hypothesis, so you reject the null hypothesis.

If p_v>\alpha then we say that we fail to reject the null hypothesis at the significance level. That indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.

5 0
3 years ago
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