What is the effect of increasing the sample variance?
Generally speaking, increasing the sample variance implies increasing its square-root the sample std dev, which in turn, increases the estimated std error of the sample mean.
How does increasing sample variance affect the likelihood that a hypothesis test will be significant?
In a hypothesis test, a large value for the sample variance increases the likelihood that you will find a significant treatment effect. In an analysis of variance, MStotal = MSbetween + MSwithin. The larger the differences among the sample means, the larger the numerator of the F-ratio will be.
What does variance mean quizlet?
variance. a measure of variability for the average squared distance that scores deviate from their mean.
Under what circumstances can a very small treatment effect be statistically significant?
Under what circumstances can a very small treatment effect be statistically significant? If the sample size is small and the sample variance is large.
Why is a smaller variance better?
A small variance indicates that the data points tend to be very close to the mean, and to each other. A high variance indicates that the data points are very spread out from the mean, and from one another.
What does increasing variance mean?
The variance is a measure of variability. It is calculated by taking the average of squared deviations from the mean. Variance tells you the degree of spread in your data set. The more spread the data, the larger the variance is in relation to the mean.
What does variance measure quizlet?
- Variance is a measure of the squared deviations of a security's return from its expected return.
What is variance psychology quizlet?
Variance. A statistical average of the amount of dispersion around the mean in a distribution of the scores. It is the Standard Deviation squared.
What is a measure of variation quizlet?
Variability provides a quantitative measure of the differences between scores in a distribution and describes the degree to which the scores are spread out to clustered together. The purpose for measuring variability is to obtain an objective measure of how the scores are spread out in a distribution.
Which of the following accurately describes the effect of increasing the sample size quizlet?
The probability of rejecting a false null hypothesis. Which of the following accurately describes the effect of increasing the sample size? Decreases the standard error, has no effect on the risk of a Type I error. A researcher selects a sample and administers a treatment to the individuals in the sample.
Which of the following will increase the power of a statistical test?
The correct answer to the question is option c. An increase in the sample size will increase the power of a statistical test by...
Which set of characteristics will produce the smallest value for the estimated standard error?
Answer and Explanation: The scenario that will result in the smallest value for the standard error is option A: A large sample size and a small sample variance.
What does it mean when a researcher fails to reject a null hypothesis that is really false?
In a typical research situation, means that the hypothesis test has failed to detect a real treatment effect.
What is significant effect if the decision from the hypothesis test is to reject H0?
If it is very unlikely to occur when the null hypothesis is true. That is, the result is sufficient to reject the null hypothesis. Thus, a treatment has a significant effect if the decision from the hypothesis test is to reject H0.
What is the power of a statistical test?
That is, power is the probability that the test will identify a treatment effect if one really exists.
What does it mean when a researcher rejects a null hypothesis?
In a typical research situation, means that the researcher concludes that a treatment does have an effect when, in fact, it has no effect.
What is the Alpha level?
The Alpha level is a small probability value that defines the concept of "very unlikely".
How are critical regions determined?
The boundaries of critical regions are determined by the probability set by the alpha level.
What is the null hypothesis?
Null hypothesis, aka H0, states that in the general population there is no change, no difference, or no relationship.