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ELEN [110]
3 years ago
7

Help with this pls I’ll give 20 Points

Mathematics
1 answer:
ruslelena [56]3 years ago
8 0

Answer:

La respuesta es c

Step-by-step explanation:

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Please help please help
Katena32 [7]

Answer:

Similar

Step-by-step explanation:

They have the same angle measurements/shape, but not the same size

Hope it helps!

(Btw, please show choices just in case)

4 0
4 years ago
You have quarters and nickels saved in a piggy bank. There is a total of 3.45 in quarters and nickels and there are 9 more nicke
Darina [25.2K]

Answer:

Total number of quarters=10

Total number of nickels=19

Step-by-step explanation:

The expression for the total value of money you have is;

Quarters have a value of= $0.25

Nickels have a value of= $0.05

Total value=(value of quarters×number of quarters)+(value of nickels×number of nickels)

where;

Total value=$3.45

Value of a quarter=$0.25

number of quarters=x

Value of a nickel=0.05

number of nickels=y, but y=x+9

replacing;

3.45=(0.25×x)+0.05(x+9)

3.45=0.25 x+0.05 x+0.45

3.45=0.3 x+0.45

0.3 x=3.45-0.45

0.3 x=3

x=3/0.3

x=10

y=x+9=10+9=19

Total number of quarters=10

Total number of nickels=19

3 0
4 years ago
Joey has 3 pairs of pants, 5 shirts and 2 ties. How many different outfits can Joey make
never [62]

Answer:

30

Step-by-step explanation:

3 times 5 times 2 =30

7 0
4 years ago
Read 2 more answers
A company receives shipments of a component used in the manufacture of a component for a high-end acoustic speaker system. When
Tanya [424]

Answer:

ME= 2.33*\sqrt{\frac{0.096*(1-0.096)}{250}}= 0.0434

Step-by-step explanation:

For this case we have a sample size of n = 250 units and in this sample they found that 24 units failed one or more of the tests.

We are interested in the proportion of units that fail to meet the company's specifications, and we can estimate this with:

\hat p = \frac{24}{250}= 0.096

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The confidence interval for a proportion is given by this formula  

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}  

For the 98% confidence interval the value of \alpha=1-0.98=0.02 and \alpha/2=0.01, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=2.33  

And the margin of error would be:

ME= 2.33*\sqrt{\frac{0.096*(1-0.096)}{250}}= 0.0434

4 0
4 years ago
If f(x)=x^2-45, and f(2a)= -20, what is the value of a
Klio2033 [76]
Hope this helps!!! :)

5 0
3 years ago
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