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Troyanec [42]
3 years ago
15

Write an inequality that compares 3 and 5

Mathematics
2 answers:
Tom [10]3 years ago
8 0

Answer:

3 < 5

Step-by-step explanation:

3 < 5

We can write this inequality, because three is less than five, and < means less than.

Ne4ueva [31]3 years ago
6 0
<h2>3 < 5</h2><h2></h2>

An inequality is a mathematical sentence which

states that two expressions are not equal.

The "<" symbol means less than.

Since 3 is less than 5, we can write this as 3 < 5.

Take a look below I have attached the same problem

and an additional one to show you.

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What is the answer to this equation? <br><br> 4x+39
RSB [31]

Answer:

U CAN'T SOLVED IT BECAUSE IT HAS A VARIABLE AND A NUMBER U CANNOT COMBINED THEM

8 0
3 years ago
Read 2 more answers
I need help with this!!​
hichkok12 [17]

Answer:

14 burgers

Step-by-step explanation:

3 1/2 ÷ 1/4 = 14

4 0
3 years ago
3x-9=3(x-3) how many solutions​
Colt1911 [192]

Answer:

All Real Numbers

Step-by-step explanation:

Step 1:

3x - 9 = 3 ( x - 3 )        Equation

Step 2:

3x - 9 = 3x - 9       Multiply

Step 3:

- 9 = - 9       Subtract 3x on both sides

Answer:

All Real Numbers

Hope This Helps :)

4 0
3 years ago
10 points
Blababa [14]

Answer:

i think its A

Step-by-step explanation:

5 0
3 years ago
A researcher reports survey results by stating that the standard error of the mean is 25 the population standard deviation is 40
bezimeni [28]

Answer:

a) A sample of 256 was used in this survey.

b) 45.14% probability that the point estimate was within ±15 of the population mean

Step-by-step explanation:

This question is solved using the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

a. How large was the sample used in this survey?

We have that s = 25, \sigma = 400. We want to find n, so:

s = \frac{\sigma}{\sqrt{n}}

25 = \frac{400}{\sqrt{n}}

25\sqrt{n} = 400

\sqrt{n} = \frac{400}{25}

\sqrt{n} = 16

(\sqrt{n})^2 = 16^2[tex][tex]n = 256

A sample of 256 was used in this survey.

b. What is the probability that the point estimate was within ±15 of the population mean?

15 is the bounds with want, 25 is the standard error. So

Z = 15/25 = 0.6 has a pvalue of 0.7257

Z = -15/25 = -0.6 has a pvalue of 0.2743

0.7257 - 0.2743 = 0.4514

45.14% probability that the point estimate was within ±15 of the population mean

3 0
3 years ago
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