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 ependent Variable: speed Type II Sum of Squares Partial Eta Squared df Mean Square F Sig. ource orrected Model mtercept 13.231 2 6.615 3.571 .046 .254 392.850 1 392.850 212.031 .000 .910 ucroseamount 13.231 2 6.615 3.571 .046 .254 rror otal orrected Total 38.909 21 1.853 444.990 24 52.140 23 a. R Squared = .254 (Adjusted R Squared = .183) In order to determine where the main mean differences lie, the researcher would also need to conduct a O pre-test O correlation O post-hoc analysis O MANOVA
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
