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DaniilM [7]
3 years ago
9

F(x)=3x²+4x-1evaluate f(-2)​

Mathematics
1 answer:
gtnhenbr [62]3 years ago
6 0

Answer:

3.

Step-by-step explanation:

f(-2) = 3(-2)^2 + 4(-2) - 1

= 12 - 8 - 1

= 3.

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Merle Fonda opened a new savings account. She deposited $40,000 at 10% compounded semiannually. At the start of the fourth year,
IrinaVladis [17]
Use compound interest formula  F=P(1+i)^n twice, one for each deposit and sum the two results.

For the P=$40,000 deposit,
i=10%/2=5%  (semi-annual)
number of periods (6 months), n = 6*2 = 12
Future value (at end of year 6),
F = P(1+i)^n = 40,000(1+0.05)^12 = $71834.253

For the P=20000, deposited at the START of the fourth year, which is the same as the end of the third year.
i=5% (semi-annual
n=2*(6-3), n = 6 
Future value (at end of year 6)
F=P(1+i)^n = 20000(1+0.05)^6 = 26801.913

Total amount after 6 years
= 71834.253 + 26801.913
=98636.17   (to the nearest cent.)
8 0
2 years ago
Does this graph represent a function? Why or why not?
Lunna [17]

Answer:

Step-by-step explanation:

B. Yes, because it passes the vertical line test, is the answer.

6 0
2 years ago
27millimeters. 1cm/10mm
Alla [95]
If you would like to know how many centimeters are 27 millimeters, you can calculate this using the following steps:

1 cm ... 10 mm
x cm = ? ... 27 mm

1 * 27 = 10 * x
27 = 10 * x    /10
x = 27/10
x = 2.7 cm

The correct result would be 2.7 cm.
5 0
3 years ago
Read 2 more answers
I can create and use a graph to predict values and justify my results? Help me with this please I would appreciate it
mestny [16]

Answer:

simple even tho im in 6th grade it would be over $100

5 0
3 years ago
Give a 98% confidence interval for one population mean, given asample of 28 data points with sample mean 30.0 and sample standar
klio [65]

We have a sample of 28 data points. The sample mean is 30.0 and the sample standard deviation is 2.40. The confidence level required is 98%. Then, we calculate α by:

\begin{gathered} 1-\alpha=0.98 \\ \alpha=0.02 \end{gathered}

The confidence interval for the population mean, given the sample mean μ and the sample standard deviation σ, can be calculated as:

CI(\mu)=\lbrack x-Z_{1-\frac{\alpha}{2}}\cdot\frac{\sigma}{\sqrt[]{n}},x+Z_{1-\frac{\alpha}{2}}\cdot\frac{\sigma}{\sqrt[]{n}}\rbrack

Where n is the sample size, and Z is the z-score for 1 - α/2. Using the known values:

CI(\mu)=\lbrack30.0-Z_{0.99}\cdot\frac{2.40}{\sqrt[]{28}},30.0+Z_{0.99}\cdot\frac{2.40}{\sqrt[]{28}}\rbrack

Where (from tables):

Z_{0.99}=2.33

Finally, the interval at 98% confidence level is:

CI(\mu)=\lbrack28.94,31.06\rbrack

4 0
1 year ago
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