The best way to reduce the variances in the distributions of means when conducting a t test for independent means is to increase the size of the samples. raise the study's level of significance. use the true population variance. treat the two samples as one sample.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
- The best way to reduce the variances in the distributions of means when conducting a t test for independent means is to
- increase the
size of the samples. - raise the study's level of significance.
- use the true population variance.
- treat the two samples as one sample.
The sample size would be in the denominator of the formula for variance of distribution of means. The value of variance in the distributions of means decreases with increase in two sample sizes. The value of variance in the distributions of means increases with decrease in two sample sizes for t test of independent means. This shows that, the size of the samples must be increased for reducing the variance value.
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