Round 127.39 to the nearest whole number.

Mathematics

2 answers:

dmitriy555 [2]2 years ago

4 0

Answer:

127

Step-by-step explanation:

127.39 rounded to the nearest whole number is 127

So the 9 in the hundreths place rounds the 3 in the tenths place to a 4 but the 4 doent round the 7 in the ones place to an 8. And sice your at the ones you can stop with an answer of 127.

hope ths helps just let me know if you have any questions about my answer:P

Galina-37 [17]2 years ago

3 0

Answer:

127

Step-by-step explanation:

Since the digit after the point (tens digit) is less than 5, we will round down and get 127.

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You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard devia

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Answer:

$n=(\frac{z_{\alpha/2} \sigma}{ME})^2$ (3)

$n=(\frac{2.58(54.5)}{5})^2 =790.846 \approx 791$

So the answer for this case would be n=791 rounded up to the nearest integer

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

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".

$\bar X$ represent the sample mean for the sample

$\mu$ population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size

Solution to the problem

The confidence interval for the mean is given by the following formula:

$\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}$ (1)

Since the Confidence is 0.99 or 99%, the value of $\alpha=0.01$ and $\alpha/2 =0.005$ , and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.005,0,1)".And we see that $z_{\alpha/2}=2.58$