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Helga [31]
3 years ago
8

A study of a new medication found that patients who took the medicine have reduced blood pressure, compared to those who did not

take the medicine. The research team concluded that the medicine caused the reduction in blood pressure. Which study design did they most likely use?
They most likely used an experiment with patients randomly assigned to take the medicine or not take the medicine.

They most likely used an experiment with patients randomly assigned to groups based on their blood pressure.

They most likely used a survey asking patients if they took the medicine and how their blood pressure was affected.

They most likely used a survey asking patients if they took the medicine and if they felt the medication helped their blood pressure.
Mathematics
2 answers:
laila [671]3 years ago
7 0

Answer:

They  most likely used an experiment with patients randomly assigned to take the medicine or not take the medicine.

Step-by-step explanation:

You see, it wouldn't make much sense to randomly assign people but also classify them with a blood pressure moniker as well. People with high/low BP will respond differently to the experimental medication than a person with regular BP. This is why it is important to keep everything in a sample space the same, or if not, to have a fair and random assortment of people.

babymother [125]3 years ago
5 0
<span>They most likely used an experiment with patients randomly assigned to take the medicine or not take the medicine.</span>
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Answer:

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Step-by-step explanation:

Given the data in the question;

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n = 400

Hence, the sample size is 400

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At 95% confidence interval,

significance level ∝ = 1 - 95% = 1 - 0.95 = 0.05

∝/2 = 0.05 / 2 = 0.025

so, Z critical Value ; Z_{\alpha /2 = 1.96  { from table }

So for Confidence Interval for p;

⇒ p' ± Z_{\alpha /2√( p'q' / n )

we substitute

⇒ 0.05 ± 1.96√( (0.05 × 0.95 ) / 400 )

⇒ 0.05 ± 1.96√( 0.00011875 )

⇒ 0.05 ± 1.96 × 0.010897

⇒ 0.05 ± 0.021358

⇒ ( 0.05 - 0.021358 ), ( 0.05 + 0.021358 )

⇒ ( 0.0286, 0.0714 )

Therefore, 95% confidence Interval for p is ( 0.0286, 0.0714 )

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