Answer:
5 isbthe answer to your question
Answer: option 3
PLEASE MARK ME AS BRAINLIEST
<span>I would contact your instructor, because I think there may be a typo in the original problem. I worked it out and got x = -4 </span>The steps go like this:
1. Distribute the 3 to each of 1/3x and 1. This gives you <span>x + 3 + 4</span> on the left side. Simplify that to x + 7.
2. Distribute the -4 to each of x and 3. This gives you -1 - 4x - 12 on the right side. Simplify that to -13 - 4x. Now you have <span>x + 7 = -13 - 4x.</span>
3. Subtract 7 from both sides.
4. Add 4x to both sides. Now you have 5x = -20 (This is the step Antwon gets to)
5. Divide by 5. You get <span>x = -4
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Multiply sides by 2
Subtract sides 4x
Add sides 37
Divide sides by 9
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The correct answer is Option four .
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Answer:
d. a power analysis; tells the researcher the number of participants needed for trustworthy results.
Step-by-step explanation:
A control experiment can be defined as an experiment in which a condition assumed to be a probable cause of the effect is being compared to the same situation by the scientist without involving or using the suspected condition.
A hypothesis is considered to be tentative or an educated guess and can be defined as a testable explanation for an observation or a scientific problem. An example of a hypothesis is saying, Corona virus is caused by the introduction of the "5G" technology.
This ultimately implies that, for any hypothesis to be acceptable in science, it must be supported by observations and the results of control experiments; this give rise to factual informations, theories and by extension solutions to problems.
Before hypothesis testing and at the beginning of a study, a researcher is advised to conduct a power analysis because it tells the researcher the number of participants needed for trustworthy results.
A power analysis should always be conducted before the collection of data because it will help you as a researcher to determine the smallest sample size that's accurate enough to detect the effect of a specific test at the desired statistical significance level.
