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Sloan [31]
4 years ago
14

What is sixty-five hundred in number

Mathematics
2 answers:
AnnZ [28]4 years ago
8 0
6,500 is the answer to that question
enyata [817]4 years ago
3 0
65,00 because you put the 65 in the hundred place
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Evaluate 15/5 + 40 . 7 - 3 to the power of 4.
Lina20 [59]
15/5 + 40.7 -3^4
= 3 + 40.7 - 81
= -37.3


hope this helps! :)))
4 0
3 years ago
Kevin uses each of the digits 6,4,3 and 8 once and only once to make four-digit numbers
Ivanshal [37]

Answer:

3,468?

Step-by-step explanation:

I think the prompt is a little confusing, but I went with the logic of literally using the numbers and combining them.

6 0
3 years ago
Someone help with the answers please
TiliK225 [7]

1. b and c work

2. a (0.4% = 1.04)

3 0
3 years ago
An account worth $6,000 is earning 7% simple interest annually. How
Oksana_A [137]
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4 0
3 years ago
A population has a standard deviation of 80. A random sample of 400 items from this population is selected. The sample mean is d
Helga [31]

Answer:

ME= 1.8808 * \frac{80}{\sqrt{400}} =7.5232

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)

\sigma =80 represent the population standard deviation

n=400 represent the sample size  

Solution to the problem

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

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

Since the Confidence is 0.94 or 94%, the value of \alpha=0.06 and \alpha/2 =0.03, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.03,0,1)".And we see that z_{\alpha/2}=1.8808

The margin of error is given by:

ME= 1.8808 * \frac{80}{\sqrt{400}} =7.5232

4 0
4 years ago
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