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Sati [7]
3 years ago
11

A pair of equations is shown below:

Mathematics
1 answer:
Lana71 [14]3 years ago
4 0
Part A: To solve graphically we have to graph first by plotting the y-int which is -9 & -1. Than use the slops 7/1 & 3/1
part B: (2,5)
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Compare the decimals 6,324.50 and 6,324.5.
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The answer is A, hope this helps brooo
7 0
3 years ago
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Anyone knows what be?
sp2606 [1]

im not sure but i think it is 15

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What is the sum of the first eight terms of a geometric series whose first term is 3 and whose common ratio is 1/2?
ladessa [460]
\bf \qquad \qquad \textit{sum of a finite geometric sequence}\\\\
S_n=\sum\limits_{i=1}^{n}\ a_1\cdot r^{i-1}\implies S_n=a_1\left( \cfrac{1-r^n}{1-r} \right)\quad 
\begin{cases}
n=n^{th}\ term\\
a_1=\textit{first term's value}\\
r=\textit{common ratio}\\
----------\\
a_1=3\\
r=\frac{1}{2}\\
n=8
\end{cases}

\bf S_8=3\left( \cfrac{1-\left( \frac{1}{2} \right)^8}{1-\frac{1}{2}} \right)\implies 
S_8=3\left( \cfrac{1-\frac{1^8}{2^8}}{1-\frac{1}{2}} \right)
\\\\\\
S_8=3\left( \cfrac{1-\frac{1}{256}}{\frac{1}{2}} \right)\implies S_8=3\left( \cfrac{\frac{255}{256}}{\frac{1}{2}} \right)\implies S_8=3\left( \cfrac{255}{256}\cdot \cfrac{2}{1} \right)
\\\\\\
S_8=3\left( \cfrac{255}{128} \right)\implies S_8=\cfrac{765}{128}
3 0
3 years ago
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At a school party there are 40 cookies. The ratio of chocolate cookies to oatmeal cookies is shown in the tape diagram.
Annette [7]

Answer:

Where is the diagram??

7 0
3 years ago
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Complete parts (a) and (b) below.
jeka94

Answer:

a) The mean of the probability distribution = 0.6

b) The variance of the probability distribution = 0.3

c) The standard deviation of the probability distribution = 0.5

Step-by-step explanation:

a) Data and Calculations:

number of dogs per household in a small town

Dogs   Probability  Expected  Mean Diff    Mean Diff.

                               Value                            Squared

0          0.650           0               -0.569         0.32376

1           0.216            0.216        -0.353          0.12461

2         0.087            0.174         -0.395          0.15603

3          0.026            0.078       -0.491            0.24108

4          0.014             0.056       -0.513           0.26317

5          0.009          0.045       -0.524           0.27458

The mean =           0.569 (Sum of expected value)                          

Variance = mean of squared differences = 0.27665 (1.38323/5)

Standard deviation = square root of variance = 0.526 = 0.5

7 0
2 years ago
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