In the equation 3x - 9 = 3, what is the first step we should do?

Select the graph that represents the given set. (Click on the graph until the correct one is showing.) D = {(1, 1), (1, 2), (1,

vichka [17]

Answer: Vertical line x = 1

<u>Step-by-step explanation:</u>

(1, 1) (1, 2) (1, 3) (1, 4)

Notice that the x-value for each coordinate is 1.

The line is a vertical line (up & down) through x = 1

4 0

2 years ago

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What is the fraction expressed in lowest terms?

alekssr [168]

3/11 is the simplified version of this fraction

4 0

3 years ago

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The equation below represents the trend line of a scatter plot showing the hours spent studying versus science test scores.

navik [9.2K]

Answer:

On the science test the point ( 0 , 424 ) the intercepts is bigger

Step-by-step explanation:

The relation hours spend vs science test score is

y = 6.5*x + 424

And the relation hours spend vs Maths test score is

y = 7.2*x + 34.7

Making x = 0 ( student does not study at all ) we get:

For science score test woul be

y = 0 + 424

In case of maths

y = 0 + 34.7

That mean student without studying will get better score in science.

The point ( 0 , 424) ( science ) represents the interception with y axis

in Maths case such point is ( 0 . 34.7)

7 0

3 years ago

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The sales tax for a certain state can be found by multiplying the purchase price by . What is the sales tax on an item that is $

Tamiku [17]

Ok any more details or is that the question?

6 0

2 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 $s = \frac{\sigma}{\sqrt{n}}$ .