Answer:
Interpretation of P-value.
Step-by-step explanation:
- P values helps us to evaluate and act as an indicator how well the sample data support the null hypothesis is true.
- Thus, in a way it helps us to tell that the information obtained from the sample is true in respect to the population or not.
- It measures how close the data are with respect to the null hypothesis.
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High P-values means that the data supports the null hypothesis and sample provides correct information about the population.
- A high p value states that the sample is taken from the population.
- Low P-values means that the data does not supports the null hypothesis and sample does not provides correct information about the population.
- A low p value states that the sample is not taken from the population.
- A low P value suggests that the sample provides enough evidence and information, that we can reject the null hypothesis for the entire population or we can conclude that the sample does not belong to the population.
- If p-value of 0.002 is less than the significance level than it provides enough evidence that we reject the null hypothesis.
- Thus a low p value of 0.002 says that large group of late lunch eaters lost less weight than a large group of early lunch eaters.
- Thus, this sample does not belong to the population where the loss in weight was same.
Answer:
that is impossible
Step-by-step explanation:
because you have 2 equations where y+z equal different numbers
Answer:
I have no clue but keep up the good work in the test
