ighteen participants took part in an experimental study that consisted of three levels: normal classroom teaching, normal classroom teaching with tutors, and an experimental teaching method to increase student scores on a statistics exam. Your data set includes the following variables: Treatment (1 - normal classroom teaching; 2 - normal classroom teaching with tutors; 3 - experimental teaching method) Gender (1 – female; 2 – male) Pre-test score (higher scores represent better student performance on a statistics exam) Post-test score (higher scores represent better student performance on a statistics exam) Stanford-Binet Intelligence Test scores (IQ) The number of hours the student studied per week. Do test scores at pre-treatment differ from test scores at post-treatment? Note, this analysis should be conducted ignoring the treatment group they are in. Select an appropriate statistical test and state teh hullhypothesis.
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.
Eighteen participants took part in an experimental study that consisted of three levels: normal classroom teaching, normal classroom teaching with tutors, and an experimental teaching method to increase student scores on a statistics exam. Your data set includes the following variables:
- Treatment
- (1 - normal classroom teaching; 2 - normal classroom teaching with tutors; 3 - experimental teaching method)
- Gender
- (1 – female; 2 – male)
- Pre-test score
- (higher scores represent better student performance on a statistics exam)
- Post-test score
- (higher scores represent better student performance on a statistics exam)
- Stanford-Binet Intelligence Test scores (IQ)
- The number of hours the student studied per week.
Do test scores at pre-treatment differ from test scores at post-treatment? Note, this analysis should be conducted ignoring the treatment group they are in.
Select an appropriate statistical test and state teh hullhypothesis.
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