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Sati [7]
3 years ago
14

An experiment was conducted to test the effect of a new cholesterol medicine. Fifteen people were treated with medicine X and 15

with medicine y for a month; then the subjects' cholesterol level was measured. A
significance test was conducted at the 0.01 level for the mean difference in cholesterol levels between medicine X and medicine Y. The test resulted in t - 2.73 and p = 0.003. If the alternative hypothesis in
question was Mo: px - WY* 0, where wx equals the mean cholesterol level for subjects taking medicine X and by equals the mean cholesterol level for subjects taking medicine Y, what conclusion can be drawn? (2
points)
There is sufficient evidence that there is a difference in mean cholesterol level when using medicine X and medicine Y.
There is not a significant difference in mean cholesterol level when using medicine X and medicine Y.
There is sufficient evidence that medicine X towers cholesterol levels more than medicine Y.
The proportion of subjects who lowered their cholesterol level with medicine X is greater than the proportion of subjects who lowered their cholesterol level with medicine Y.
There is insufficient evidence that the proportion of people who lowered cholesterol level on medicine X and Y is different.
Mathematics
2 answers:
Juliette [100K]3 years ago
6 0

Answer:

We are given that : an experiment was conducted to test the effect of a new cholesterol medicine. A significance test was conducted at a = 0.01

Step-by-step explanation:

Alekssandra [29.7K]3 years ago
3 0

Answer:

E

Step-by-step explanation:

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Step-by-step explanation:

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Which of the following probabilities is equal to approximately 0. 2957? Use the portion of the standard normal table below to he
Travka [436]

Probability of an event is the measure of its chance of occurrence. The event out of the listed events whose probability is 0.2957 is given by : Option C: P(0.25 \leq Z \leq 1.25)

<h3>How to get the z scores?</h3>

If we've got a normal distribution, then we can convert it to standard normal distribution and its values will give us the z-score.

If we have

X \sim N(\mu, \sigma)

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Also, know that if we look for Z = z in z tables, the p-value we get is

P(Z \leq z) = \rm p \: value

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Case 1:

P(-1.25 \leq Z \leq 0.25) = P(Z \leq 0.25) - P(Z \leq -1.25) \approx 0.5987 - 0.1056 = 0.4931

Case 2:

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Case 3:

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Case 4:

P(0.75 \leq Z \leq 1.25) = P(Z \leq 1.25) - P(Z \leq 0.75) \approx 0.8944 - 0.7734 =0.1210

Thus, the event out of the listed events whose probability is 0.2957 is given by : Option C: P(0.25 \leq Z \leq 1.25)

Learn more about z-scores here:

brainly.com/question/13299273

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