1. Based on this table, how would you write the results of the t test for total units earned in the row Students on Pell? Please include the mean, standard deviation, t test results with degrees of freedom (df), p value, and Cohen’s dfrom the same row. Note: you can calculate df based on the information in the table and df is different for t tests compared to z tests. Only one t value was reported to have a p value that almost was not significant. Which t value in the table was close to not being significant? a. The t value for total units earned in the row for Total. b. The t value for total units earned in the row for Students on Pell. c. The t value for total GPA in the row for First-generation college students. d. The t value for time to degree (years) in the row for First-generation college students. Based on the sample sizes of students not employed on campus and students employed on campus, the df for the t tests in the row for First-generation college students is equal to what? a. df = 5245 + 2120 = 8365 b. df = 5245 + 2120 – 2 = 8363 c. df = 6245 – 1 = 6244 d. df = 2120 – 1 = 2119 Decide whether the following statement is true or false. The total units earned in the row for Total is not significantly different between students employed off- or on-campus. a. Enter your response here. Based on the effect size (AKA Cohen’s d) for time to degree (years) in the row for Total (d = .15), how would you describe the magnitude of Cohen’s d? a. Small b. Medium c. Large d. Cannot determine based on the information available.
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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