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9966 [12]
3 years ago
10

Order the lenghths least to greatest

Mathematics
2 answers:
kogti [31]3 years ago
6 0

14.5, 14.8, 15, 15.3, 15.8  Hope this helped!

-TTL

Minchanka [31]3 years ago
5 0

Answer:


Step-by-step explanation:


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Nathan deposited 7/9 of his allowance into his savings account. He spent the remaining amount, or $2.50. How much did Nathan dep
inysia [295]
2/9=2.50
Allowence=2.50x9 divided by which gives you an answer of 11.25
Hope this helps you!
4 0
3 years ago
Jose has -75 points. He wins 200 points;then he loses 25 points. How many points does he have now?
Sav [38]

Answer:

100 points

Step-by-step explanation:

-75 + 200 = 125

125 - 25 = 100

3 0
3 years ago
Read 2 more answers
A bag contains 21 red marbles, 22 green marbles, 24 orange marbles, and 10 yellow marbles. You choose a marble randomly from the
Elan Coil [88]
The approximate probability is 32/77
7 0
3 years ago
An Epson HR100 printer priced at $379 is sold for $319. What was the percent price reduction?
EastWind [94]

Answer:

The percent price reduction was 15.83%

Step-by-step explanation:

we know that

In this problem

$379 represent the 100%

so

using proportion

Find out what percentage represent the difference between the original price and the final price

\frac{\$379}{100\%}=\frac{\$379-\$319}{x}\\\\x=100(60)/379\\\\x=15.83\%

3 0
3 years ago
Calculating the degrees of freedom, the sample variance, and the estimated standard error for evaluations using the t statistic
Yuliya22 [10]

Answer:

a) For the first part we have a sample of n =10 and we want to find the degrees of freedom, and we can use the following formula:

df = n-1= 10-1=9

d.9

b) s^2 = \frac{SS}{n-1}= \frac{600}{41-1}= 15

a.15

c) For this case we have the sample size n = 25 and the sample variance is s^2 =400 , the standard error can founded with this formula:

SE = \frac{s^2}{\sqrt{n}}= \frac{400}{\sqrt{25}}= 80

Step-by-step explanation:

Part a

For the first part we have a sample of n =10 and we want to find the degrees of freedom, and we can use the following formula:

df = n-1= 10-1=9

d.9

Part b

From a sample we know that n=41 and SS= 600, where SS represent the sum of quares given by:

SS = \sum_{i=1}^n (X_i -\bar X)^2

And the sample variance for this case can be calculated from this formula:

s^2 = \frac{SS}{n-1}= \frac{600}{41-1}= 15

a.15

Part c

For this case we have the sample size n = 25 and the sample variance is s^2 =400 , the standard error can founded with this formula:

SE = \frac{s^2}{\sqrt{n}}= \frac{400}{\sqrt{25}}= 80

8 0
3 years ago
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