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Salsk061 [2.6K]
3 years ago
11

Compare. Use <, >, or =.

Mathematics
2 answers:
Andrei [34K]3 years ago
5 0

Step-by-step explanation:

\frac{140}{130}  = 1.07692308 \approx \: 1.08 \\  \\  104\% = \frac{104}{100}  = 1.04 \\  \\  \because \: 1.08 > 1.04 \\   \\  \therefore \:  \frac{140}{130}  > 104\%  \\

Thus, option A > is the correct answer.

-BARSIC- [3]3 years ago
4 0

Answer:

A. >

Step-by-step explanation:

We need to compare \[\frac{140}{130}\] and 104%.

Simplifying the first term

\[\frac{140}{130}\]

= \[\frac{14}{13}\]

Expressing it in decimal form,

= \[1.077\]

Now,let us consider the second term, 104%

This can be expressed as \[\frac{104}{100}\].

In decimal form this is equal to \[1.04\]

Clearly the first term is greater than the second term. So option A is the correct option.

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A simple random sample of size n=10 is obtained from a population that is normally distributed with a mean of 40 and a standard
Eva8 [605]

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A sampling distribution is a chance distribution of a statistic obtained from a larger variety of samples drawn from a specific populace. The sampling distribution of a given population is the distribution of frequencies of a variety of various outcomes that would probable occur for a statistic of a populace.

A sampling distribution is a probability distribution of a statistic this is obtained via drawing a huge variety of samples from a particular populace. Researchers use sampling distributions so that you can simplify the technique of statistical inference.

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σx = 0.9487

Yes, the sampling distribution is normally distributed because the population is normally distributed.

Learn more about sampling distribution here:- brainly.com/question/12892403

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