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KiRa [710]
3 years ago
15

What's is 4 2/5 * -3 3/4

Mathematics
2 answers:
statuscvo [17]3 years ago
5 0

-33/2 or -16 1/2 or -16.5

Xelga [282]3 years ago
3 0
The answer would be either:
-99/10 or -9 9/10
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Negative one times the sum of twice a number and 3 is equal to 2 times the
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Lets just say the number is equal to x.
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Distribute on both sides
-2x-3=-8x-6
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Add 8x to boths sides
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The numbers is -1.

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Which list shows the contestants in order by their completion times from fastest to slowest?
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Leah, Reba, Alexis, Kari

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Georgianna wants to use the linear model associated with the data in the table to make a prediction.
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0 to 30 minutes on edg.

Step-by-step explanation:

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3 years ago
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The 225 students who passed all of their classes on the last report card will attend a one-hour Friday Fun-Day sponsored by the
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Answer:

C. is incorrect.

Step-by-step explanation:

Calculate the percentages for each prize desired by the 50 students responding in the sample survey.  See the attached image for this calculation.  Multiply these percentages times the total student body of 225 students to determine the likely selection for each prize (on the attachment).

A.  is correct (126 students)

B.  is correct

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8 0
3 years ago
In recent years more people have been working past the age of 65. In 2005, 27% of people aged 65–69 worked. A recent report from
Vinil7 [7]

Answer:

a) point estimate is 30%

b) null and alternative hypothesis would be

H_{0}: p=27%

H_{a}: p>27%

c) We reject the null hypothesis, percentage working people aged 65-69 had increased

Step-by-step explanation:

<em>a. </em>

Point estimate would be the proportion of the working people aged 65–69 to the sample size and equals \frac{180}{600}=0.3 ie 30%

<em>b.</em>

Let p be the proportion of people aged 65–69 who is working. OECD claims that percentage working had increased. Then null and alternative hypothesis would be

H_{0}: p=27%

H_{a}: p>27%

<em>c.</em>

z-score of the sample proportion assuming null hypothesis is:

\frac{p(s)-p}{\sqrt{\frac{p*(1-p)}{N} } } where

  • p(s) is the sample proportion of working people aged 65–69 (0.3)
  • p is the proportion assumed under null hypothesis. (0.27)
  • N is the sample size (600)

then z=\frac{0.3-0.27}{\sqrt{\frac{0.27*0.73}{600} } } = 1.655

Since one tailed p value of 1.655 = 0.048 < 0.05, sample proportion is significantly different than the proportion assumed in null hypothesis. Therefore we reject the null hypothesis.

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3 years ago
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