Answer:
The correct answer is b.
Explanation:
Hello!
The objective is to determine if following a certain diet reduces high blood pressure. The treatment and control were randomly assigned establishing two independent samples and two study variables.
X₁: Blood pressure of a person from the treatment group.
X₂: Blood pressure of a person from the control group.
With the blood pressure data of both groups, the difference of the population means "μ₁ - μ₂" was estimated by a 95% confidence interval.
Obtaining [-21;-6]
A little reminder: In general, the 95% level of confidence means that if you were to make 100 confidence intervals you'd expect that 95 will contain the true value of the parameter you intended to estimate, in this case, the parameter is "μ₁ - μ₂".
So, with a confidence level of 95%, you'd expect that the interval [-21;-6] contains the value of the difference between the average blood pressure of people that followed the diet and the average blood pressure of people that didn't follow the diet.
Since the two limits of the interval are negative, it seems to suggest that the blood pressure of the treatment group is lower than that of the control group. This, however, cannot be assured just by observing the interval. The most appropriate procedure, when viewing this interval, is to carry out a statistical test to confirm the suspicion, with statistical hypothesis H₀: μ₁ ≥ μ₂ vs. H₁: μ₁ < μ₂.
The correct answer is b.
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