Independent Samples T-Test v Independent Samples T-Test df Number_Of_Quizzes -2.794 10.00 0.019 Note. Student's t-test. Assumption Checks Test of Equality of Variances (Levene's) df Number_Of_Quizzes 1.957 1 0.192 Descriptives v Group Descriptives Group Mean SD SE Number_Of_Quizzes Lecture 4.167 1.472 0.601 Self-Paced 7.833 2.858 1.167
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.
- What is the independent variable? ________________________________
- What is the dependent variable? _________________________________
- State the Null Hypothesis: _________________________________
- State the Alternative Hypothesis: _________________________________
- Critical value:

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