When determining the scope of an experiment, you need to consider (select all that apply).

SAT

1 answer:

disa [49]2 years ago

8 0

The options to be considered when determining the scope of an experiment are;

C: What results to report

D: The factor that will vary

<h3>Experiment</h3>

An experiment is simply defined as a scientific procedure that is done in order to make a discovery, test a hypothesis, or prove a known fact.

Now, when conducting an experiment, we must know exactly what we are testing for and this will in turn influence the result we will be reporting for.

Secondly, we must know that there is a possibility that the results may differ under different factors.

In conclusion, options C and D are correct.

The options missing are;

A. which data you will collect and plot.

B. the outcome you will investigate.

C. what results to report.

D. the factor that will vary.

Read more about Experiments at; brainly.com/question/15402972

You might be interested in

The professor informs the class that there will be a test next week. what is the probability that a randomly selected student st

marusya05 [52]

The probability that students who were randomly selected studied for the test, if they pass it with a B or higher grade is: D. 0.80.

<h3>How to calculate the probability?</h3>

In this exercise, you're required to determine the probability that students who were randomly selected studied for the test, if they pass it with a B or higher grade. Thus, we would apply Bayes's theorem.

Let S represent studied for.

Let B represent a score of B or higher grade

Therefore, we need to find P(S|B):

$S|B = \frac{B|S \times S}{B|S \times S\; +\; B|S' \times S'} \\\\S|B = \frac{0.55 \times 0.6}{0.55 \times 0.6 \;+ \;0.2 \times 0.4}\\\\S|B =\frac{0.33}{0.33 + 0.08} \\\\S|B =\frac{0.33}{0.41}$

S|B = 0.80.

Read more on probability here: brainly.com/question/25870256

#SPJ1

<u>Complete Question:</u>

At the beginning of the semester, a professor tells students that if they study for the tests, then there is a 55% chance they will get a B or higher on the tests. If they do not study, there is a 20% chance that they will get a B or higher on the tests. The professor knows from prior surveys that 60% of students study for the tests. The probabilities are displayed in the tree diagram.