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3 years ago

Why the fraction equivalent of 0.1 is 1/10?

Mathematics

2 answers:

Dahasolnce [82]3 years ago

4 0

Answer:

It is equivalent because of the way you solved it.

Step-by-step explanation:

Maurinko [17]3 years ago

3 0

Answer:

To try to explain, I’m going to give you a new way to read fractions. For a/b, say “b of them make a”. For example, 1/3 is “3 of them make 1”, because 1/3+1/3+1/3=1. 2/7 is “7 of them make 2”, because 2/7+2/7+2/7+2/7+2/7+2/7+2/7=2. This works for whole numbers a and b.

You can change the numbers like so: “3 of them make 1” is the same as “6 of them make 2”, and so 1/3=2/6. Similarly “7 of them make 2” is the same as “14 of them make 4” so 2/7=4/14. “2 of them make 12” is the same as “1 of them makes 6”, so 12/2=6/1=6.

Now 1/0.1 is “0.1 of them make 1”. Whatever “they” are, you only need 0.1 of them to make 1, so “they” must be bigger than 1. How much bigger? Following the pattern, “0.1 of them make 1” is the same as “0.2 of them make 2”, “0.5 of them make 5”, and “1 of them makes 10”. So 1/0.1=10

Step-by-step explanation:

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3 years ago

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3 years ago

Read 2 more answers

Life rating in Greece. Greece has faced a severe economic crisis since the end of 2009. A Gallup poll surveyed 1,000 randomly sa

elena-s [515]

Answer:

The population parameter of interest is the true proportion of Greek who are suffering

While the point estimate of this parameter is proportion of those that would rate their lives poorly enough to be considered "suffering". which is 25%

The condition is met

The 95% confidence interval is $0.223 < p < 0.277$

If the confidence level is increased which will in turn reduce the level of significance but increase the critical value( $Z_{\frac{\alpha }{2} }$ ) and this will increase the margin of error( deduced from the formula for margin of error i.e $E \ \alpha \ Z_{\frac{\alpha }{2} }$ ) which will make the confidence interval wider

Looking at the formula for margin of error if the we see that if the sample size is increased the margin of error will reduce making the confidence level narrower

Step-by-step explanation:

From the question we are told that

The sample size is n = 1000

The population proportion is $\r p = 0.25$

Considering question a

The population parameter of interest is the true proportion of Greek who are suffering

While the point estimate of this parameter is proportion of those that would rate their lives poorly enough to be considered "suffering". which is 25%

Considering question b

The condition for constructing a confidence interval is

$n * \r p > 5\ and \ n(1 - \r p ) >5$

$1000 * 0.25 > 5 \ and \ 1000 * (1-0.25 ) > 5$

$250 > 5 \ and \ 750> 5$

Hence the condition is met

Considering question c

Given that the confidence level is 95% then the level of significance is mathematically evaluated as

$\alpha = 100 - 95$

$\alpha = 5 \%$

$\alpha = 0.05$

Next we obtain the critical value of $\frac{\alpha }{2}$ from the normal distribution table, the value is

$Z_{\frac{\alpha }{2} } = 1.96$

Generally the margin of error is mathematically represented as

$E = Z_\frac{ \alpha }{2} * \sqrt{ \frac{\r p (1 - \r p ) }{n} }$

substituting values

$E = 1.96 * \sqrt{ \frac{ 0.25 (1 - 0.25 ) }{ 1000} }$

$E = 0.027$

The 95% confidence interval is mathematically represented as

$\r p - E < p < \r p + E$

substituting values

$0.25 - 0.027 < p < 0.25 + 0.027$

substituting values

$0.223 < p < 0.277$

considering d

considering e

Looking at the formula for margin of error if the we see that if the sample size is increased the margin of error will reduce making the confidence level narrower

5 0

3 years ago