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MArishka [77]
3 years ago
10

Solve 4x- c= k for x.

Mathematics
1 answer:
ira [324]3 years ago
6 0

Answer:

Step-by-step explanation:

Let's begin the solution by isolating the 4x term:

4x- c= k  =>  4x = c + k

Now divide both sides by 4:

          c + k

x = --------------

              4

This does not match Answer C, but would match Answer C if k + c were divided by 4.  Answer C, as shown, is incorrect.

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The result of the respective questions are:

  • This chi-square test only takes into consideration one variable.
  • The  type of chi-square test this is is a Goodness of Fit
  • df= 3
  • NO

<h3>How many variables are involved in the chi-square test?</h3>

a)

This chi-square test only takes into consideration one variable.

b)

The  type of chi-square test this is, is a Goodness of Fit

To test the hypothesis, we must determine whether the actual data conform to the assumed distribution.

The "Goodness-of-Fit" test is a statistical hypothesis test that determines how well the data that was seen resembles the data that was predicted.

c)

Parameter

n = 4

Therefore

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df= 4 - 1

df= 3

d)

In conclusion

Parameters

\alpha = 0.05

df = 3

Hence

Critical value = 7.814728

Test statistic = 6.6

Test statistic < Critical value, .

NO, the result of this test is not statistically significant.

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2 years ago
The sample shows how many items 7 people checked out from a library (2,3,13,2,3,6,2) make a dot plot to show data. What is the r
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Answer:

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3 years ago
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(a)

Q1, the first quartile, 25th percentile, is greater than or equal to 1/4 of the points.  It's in the first bar so we can estimate Q1=5.   In reality the bar includes values from 0 to 9 or 10  (not clear which) and has around 37% of the points so we might estimate Q1 a bit higher as it's 2/3 of the points, say Q1=7.

The median is bigger than half the points.  First bar is 37%, next is 22%, so its about halfway in the second bar, median=15

Third bar is 11%, so 70% so far.  Four bar is 5%, so we're at the right end of the fourth bar for Q3, the third quartile, 75th percentile, say Q3=40

b

When the data is heavily skewed left like it is here, the median tends to be lower than the mean.  The 5% of the data from 80 to 120 averages around 100 so adds 5 to the mean, and 8% of the data from the 60 to 80 adds another 5.6, 15% of the data from 40 to 60 adds about 7.5, plus the rest, so the mean is gonna be way bigger than the median of around 15.

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