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3 years ago

Which of the following statements represents one of the differences between an experiment and an observational study?

Mathematics

2 answers:

tiny-mole [99]3 years ago

5 0

Answer:

Step-by-step explanation:

svet-max [94.6K]3 years ago

3 0

Answer:

Introducing a change to the subgroup

Step-by-step explanation:

Given there are four statements. We have to find the one which represents one of the differences between an experiment and an observational study.

The answer is option 2. Introducing a change to the subgroup

Experimental and observational studies are both types of studies between which a number of differences can be identified. When conducting research studies, various types of research in order to arrive are adopted according to the need.

An experimental study is a study where the researcher has control over most of the variables.

On the other hand, an observation study is a study where the researcher cannot control any variable but merely observes the subject without controlling any variables.

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X+y=7 in slope intercept form

Travka [436]

Answer:

y = -x + 7

Step-by-step explanation:

The slope formula is as follows:

y = mx + b

So, in order to get x + y = 7 into slope intercept form we have to do the following things:

Subtract x from both sides

If you do this step then your equation should look like this:

y = -x + 7

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a = - 7
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a - 4b

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slamgirl [31]

Answer:

Step-by-step explanation:

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2 years ago

Use a calculator to find the square for 7.6

natita [175]

Answer:

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2 years ago

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Suppose you can somehow choose two people at random who took the SAT in 2014. A reminder that scores were Normally distributed w

Sindrei [870]

Answer:

22.29% probability that both of them scored above a 1520

Step-by-step explanation:

Problems of normally distributed samples are solved using 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.

In this problem, we have that:

$\mu = 1497, \sigma = 322$

The first step to solve the question is find the probability that a student has of scoring above 1520, which is 1 subtracted by the pvalue of Z when X = 1520.

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

$Z = \frac{1520 - 1497}{322}$