Answer: C. aspirin; headaches
Explanation:
The variables in an experiment are either dependent or independent. An independent variable is the change that is introduced to test the hypothesis. A dependent variable on the other hand is the one being monitored or measured due to the introduction of other variables.
Here Headaches are the dependent variables as the experiment is to monitor whether the introduction of aspirin, the independent variable, takes headaches away.
It's false. The mid-nineteenth century is the mid 1800's.
In the confidence interval method the sample data must come from a population that is normally distributed with no outliers.
A confidence interval is a range of values derived from observable data at a desired level of confidence that may include the parameter's true value. The confidence level, such as a 95% confidence level, refers to the accuracy of the estimating process rather than the degree of assurance that the computed confidence interval accurately represents the true value of the parameter under investigation. Confidence intervals are typically written as (some value) ± (a range). The range can be expressed as a percentage or as a real amount. The equation used to determine the confidence interval varies depending on which standard deviation is known.
Learn more about confidence interval calculation
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Answer:
B) False
Explanation:
Portfolio betas are the weighted average of the each of their asset betas that comprise the portfolio. If you change the weights, you could change the portfolio beta as well.
