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BaLLatris [955]
3 years ago
9

The value of 7 in 67908 is blank times the value of 7 in 74702

Mathematics
2 answers:
vodka [1.7K]3 years ago
5 0
1.The value of 7 in 67908 is 10 times lesser than the value of 7 in the ten thousands place. 

2.The value of 7 in 67908 is 10 times greater than the value of 7 in the hundreds place.

Illustration: 
1. 7000 × 10 = 70000
2. 7000 ÷ 10 = 700
Anastasy [175]3 years ago
4 0
The value of 7 in 67098 is 7000 and the value of 7 in 74702 is 70000 or 700 so it is either 10 times or 1/10th of the the value.
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There are 600 students in a school. The ratio of boys to girls is 3:5. How many boys and how many girls are there?
vitfil [10]
Add both amounts together but both multiplied by an unknown value, x.
3x+5x=600
8x=600
8x/8=600/8
x=75
3(75)=225
225 boys
5(75)=375
375 girls

225 boys and 375 girls
8 0
3 years ago
What is the factorization of the expression below?
sesenic [268]

16x² - 49

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Identity =》 a² - b² = (a + b) (a - b)

(4x)² - 7²

= (4x + 7) (4x - 7) [3rd option]

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Hope it helps ⚜

4 0
3 years ago
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The blue figure is a dilation of the black figure. the labeled point is the center of dilation. tell whether the dilation is an
Varvara68 [4.7K]

Answer:

Step-by-step explanation:

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3 years ago
A doctor is measuring the average height of male students at a large college. The doctor measures the heights, in inches, of a s
RoseWind [281]

Answer:

There is a 95% confidence that the true mean height of all male student at the large college is between the interval (63.5, 74.4).

Step-by-step explanation:

The (1 - <em>α</em>)% confidence interval for population mean is:

CI=\bar x\pm z_{\alpha/2}\times\frac{\sigma}{\sqrt{n}}

The (1 - α)% confidence interval for population parameter implies that there is a (1 - α) probability that the true value of the parameter is included in the interval.

Or, the (1 - α)% confidence interval for the parameter implies that there is (1 - α)% confidence or certainty that the true parameter value is contained in the interval.

The 95% confidence interval for the average height of male students at a large college is, (63.5 inches, 74.4 inches).

The 95% confidence interval for the average height of male students (63.5, 74.4) implies that, there is a 0.95 probability that the true mean height of all male student at the large college is between the interval (63.5, 74.4).

Or, there is a 95% confidence that the true mean height of all male student at the large college is between the interval (63.5, 74.4).

4 0
3 years ago
Can someone pls pls pls help me Evaluate the expression 6.908 – g for g = 0.173.
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Answer:

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Step-by-step explanation:

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4 0
3 years ago
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