I am struggling in my Psyc 300 Statistic class. I seem to have missed a concept early in our class and now the following homework problem has left me lost. One Sample t-test 1. A professor wants to know whether her students’ GPAs differ from the entire student population at the University ( She records 20 of her students’ GPAs and compares the mean ( = 3.25, sd = 0.85) to the population, predicting that her students will have different GPAs than the University population. Using an alpha of .05, perform an appropriate t- test. Hypothesis: tthreshold= df = tobs = Conclusion:
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.
I am struggling in my Psyc 300 Statistic class. I seem to have missed a concept early in our class and now the following homework problem has left me lost.
One Sample t-test
1. A professor wants to know whether her students’ GPAs differ from the entire student population at the University ( She records 20 of her students’ GPAs and compares the mean ( = 3.25, sd = 0.85) to the population, predicting that her students will have different GPAs than the University population.
Using an alpha of .05, perform an appropriate t- test.
Hypothesis:
tthreshold=
df =
tobs =
Conclusion:
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