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podryga [215]
3 years ago
9

1. Convert 9% into a decimal.

Mathematics
1 answer:
kondaur [170]3 years ago
3 0
0.09


Hope this helped :))
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Find the closest point to y in the subspace w spanned by bold v 1v1 and bold v 2v2. yequals=left bracket start 4 by 1 matrix 1st
Dmitrij [34]

Answer:

See attached picture.

Step-by-step explanation:

6 0
3 years ago
Part A
kap26 [50]

Reflecting the polygon FGHI across the line involves flipping the line across the line y = -1

<h3>How to reflect the polygon?</h3>

The coordinates are given as:

F(2, – 1), G(5,2), H(8, 3), and I(6, 0)

The line of reflection is given as:

y = -1

To reflect the line, we apply the following rule of reflection

(x,y) \to  (x,-y-2)

So, we have the following coordinates of the image

F' = (2, – 1)

G' = (5,-4)

H' = (8, -5)

I' = (6, -2)

See attachment for the image of the reflected polygon

Read more about reflection at:

brainly.com/question/4289712

4 0
2 years ago
Help me....................​
marta [7]

Answer:

2*2 = 4

4^4 = 16

16 > x + 4

Step-by-step explanation:

X is any real number less than 12

7 0
3 years ago
A. This is the graph of a linear function.
seropon [69]

Answer:

B.  Graph of a one-to-one function.

Step-by-step explanation:

A one-to-one function will have a unique value, y, for each different value of x.  The graph displayed will have values very, very close to each other as x approaches ±4, but they won't be the same even at higher values of x.

5 0
2 years ago
Rachel recorded the number of calls she made at work during the week:
Dmitry [639]

The chi-squared test statistic will be 3.11. The test statistic is contrasted with a predicted value based on the Chi-square distribution.

<h3>What is the chi-squared test statistic?</h3>

Finding the squared difference between the actual and anticipated data values, then dividing that difference by the expected data values, constitutes the test statistic.

The formula for the chi-squared test statistic is;

\sum \frac{(O_i-E_i)^2}{E_i } \\\\

Where,

\rm O_i is the observed value

\rm E_i is the expected value

The chi-square test statics is;

\rm( \frac{18-18}{18} )^2 +( \frac{14-18}{18} )^2 + (\frac{24-18}{18} )^2+( \frac{16-18}{18} )^2 \\\\ 0+ \frac{16}{18}+ \frac{36}{18} +\frac{4}{18}\\\\ \frac{56}{18} \\\\ 3.11

Hence, the chi-squared test statistic will be 3.11.

To learn more about the chi-squared test statistic refer;

brainly.com/question/14082240

#SPJ1

5 0
2 years ago
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