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FrozenT [24]
3 years ago
12

Using Algebra tiles, show a model of 3x.​

Mathematics
1 answer:
jenyasd209 [6]3 years ago
3 0

its the first option.

tiles of X and tiles of 1 are different

3 tiles of "X" = 3X

3 tiles of " 1 " = 3

option 3 does not mean 3X, it just means 3X + 3

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The radius of a circle is 3 millimeters. What is the circle's area? r=3 mm Use 3.14 for ​. square millimeters
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I’m pretty sure it’s 3,140,000
6 0
3 years ago
Original price of a sled: $99.50<br> Discount: 50%
Sonja [21]

Answer:

49.75

Step-by-step explanation:

1/2 (50%) of 99.50 is 49.75

8 0
3 years ago
I need help on this
ludmilkaskok [199]
Answer is C.y-4.2=4.2(x-2.2) 
8 0
4 years ago
Maisha has 3(x+2) hours reading a book 8x-5 hours sleeping and 2x hours playing.How many hours did she spend in all of these act
Mandarinka [93]
Add all the activities together

=3(x+2) + (8x-5) + 2x
multiply 3 by all in parentheses
=(3*x) + (3*2) + (8x-5) + 2x
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combine like terms
=(3x + 8x + 2x) + (6 - 5)
=13x + 1

ANSWER: 13x + 1

Hope this helps! :)
6 0
3 years ago
Iron deficiency anemia is an important nutritional health problem in the U.S. A dietary assessment was performed on 51 boys 9-11
Bond [772]

Answer:

a) Null hypothesis:\mu = 14.44    

Alternative hypothesis:\mu \neq 14.44    

b) t=\frac{12.50-14.44}{\frac{4.75}{\sqrt{51}}}=-2.917    

The degrees of freedom are given by:

df =n-1= 51-1=50

Now we can calculate the p value taking in count the alternative hypothesis

p_v =2*P(t_{50}

Since the p value is lower than the significance \alpha=0.05 we have enough evidence to reject the null hypothesis and the true mean is significantly different from 14.44

c) 12.50 -2.01 \frac{4.75}{\sqrt{51}}= 11.163

12.50 +2.01 \frac{4.75}{\sqrt{51}}= 13.837

Step-by-step explanation:

Information given

\bar X=12.50 represent the mean for the daily iron intake

s=4.75 represent the sample deviation

n=51 sample size    

\mu_o =14.44 represent the reference value  

\alpha=0.05 represent the significance level for the hypothesis test.  

t would represent the statistic

p_v represent the p value for the test

Part a

We want to test if the mean iron intake among the low-income group is different from that of the general population, the system of hypothesis would be:    

Null hypothesis:\mu = 14.44    

Alternative hypothesis:\mu \neq 14.44  

Part b  

Since we don't know the population deviation the statistic would be given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)    

Replacing the info we got

t=\frac{12.50-14.44}{\frac{4.75}{\sqrt{51}}}=-2.917    

The degrees of freedom are given by:

df =n-1= 51-1=50

Now we can calculate the p value taking in count the alternative hypothesis

p_v =2*P(t_{50}

Since the p value is lower than the significance \alpha=0.05 we have enough evidence to reject the null hypothesis and the true mean is significantly different from 14.44

Part c

The confidence interval would be given by:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}

For the 95% confidence interval we can find the critical value in a t distribution with 50 degrees of freedom and we got:

t_{\alpha/2}= 2.01

And replacing we got:

12.50 -2.01 \frac{4.75}{\sqrt{51}}= 11.163

12.50 +2.01 \frac{4.75}{\sqrt{51}}= 13.837

7 0
4 years ago
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