Descriptive Statistics Dependent Variable: speed Std. Deviation sucroseamount Mean N 8% 3.0000 1.44123 8 16% 4.6500 1.40408 8 32% 4.4875 1.22875 8 Total 4.0458 1.50564 24 Tests of Between-Subjects Effects Dependent Variable: speed Type Sum of Squares Partial Eta Squared Source df Mean Square Sig. Corrected Model 13.231 6.615 3.571 046 254 Intercept 392.850 392.850 212.031 .000 910 sucroseamount 13.231 6.615 3.571 .046 254 Error 38.909 21 1.853 Total 444.990 24 Corrected Total 52.140 23 a.R Squared - .254 (Adjusted R Squared = .183) Is the test significant?
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.
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