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Ganezh [65]
3 years ago
6

8 − a = 17. What does a equal?

Mathematics
2 answers:
vichka [17]3 years ago
7 0

Answer:

a = -9

Step-by-step explanation:

8 - a = 17

8 -17 = a

-9 = a

butalik [34]3 years ago
3 0

Answer:

-9

Step-by-step explanation:

subtract 8 from both sides. divide -1 by both sides it gives you -9. When put into the equation the two negatives make a positive and you add 8 + 9 which gives u 17.

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To get the probability that at least 8 of the words on the test are words that students know we need to do the following calculations.

<span>=[C(16,8)*C(10,2) + C(16,9)*C(10,1) + C(16,10)*C(10,0)] / C(26,10)
</span>
=0.132 
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7 2/15 + 5 2/3 +9 13/15=?? A:20 3/2 B:21 2/3 C:21 10/15 D:22 2/3
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<span>22.6666666667, in other words D. 22 2/3</span>
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greta has 45 minutes before her job interview. she is 15 miles away from teh interview. how far must she drive to be on time for
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The lyric, "Historians research more than just the word of one/To learn all sides of history" most closely means that
Ymorist [56]

Answer:

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Step-by-step explanation:

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8 0
3 years ago
Construct the confidence interval for the population mean mu. c = 0.90​, x = 16.9​, s = 9.0​, and n = 45. A 90​% confidence inte
Georgia [21]

Answer:

The  90%  confidence interval for population mean is   14.7  <  \mu  <  19.1

Step-by-step explanation:

From the question we are told that

   The sample mean is  \= x  =  16.9

    The confidence level is  C  =  0.90

     The sample size is  n  =  45

     The standard deviation

Now given that the confidence level is  0.90 the  level of significance is mathematically evaluated as

       \alpha =  1-0.90

       \alpha  =  0.10

Next we obtain the critical value of  \frac{\alpha }{2}  from the standardized normal distribution table. The values is  Z_{\frac{\alpha }{2} } =  1.645

The  reason we are obtaining critical values for \frac{\alpha }{2}  instead of  that of  \alpha  is because \alpha  represents the area under the normal curve where the confidence level 1 - \alpha (90%)  did not cover which include both the left and right tail while \frac{\alpha }{2}  is just considering the area of one tail which is what we required calculate the margin of error

  Generally the margin of error is mathematically evaluated as

        MOE  =  Z_{\frac{\alpha }{2} } *  \frac{\sigma }{\sqrt{n} }

substituting values

         MOE  = 1.645*  \frac{ 9 }{\sqrt{45} }

         MOE  = 2.207

The  90%  confidence level interval is mathematically represented as

      \= x  -  MOE  <  \mu  <  \= x  +  MOE

substituting values

     16.9 -  2.207  <  \mu  <  16.9 +  2.207

    16.9 -  2.207  <  \mu  <  16.9 +  2.207

     14.7  <  \mu  <  19.1

         

3 0
3 years ago
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