Statistical symbols and definitions
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DEFINITION
1.The average of the squared deviation scores from a distribution menas.
2. Midpoint in the distribution of numbers.
3. It has to do with the accuracy and precision of a measurement procedure.
4.Examines if an observed causal relationship generalizes across persons, settings, and times.
5.The difference between the largest and smallest score in a distribution.
6.The arithmetic average.
7.Refers to the extent to which a test measures what we actually wish to measure.
8.The most frequently occurring value in a set of numbers.
9.The conclusion from research conducted on a sample population to the population as a whole.
10. Examines whether the conclusion that we draw about a demonstrated experimental relationship truly implies cause.
11. Determines how far away the data values are from the average.
TERMS
a. Reliability
b. Mode
c. Generalization
d. Variance
e. Median
f. External valicity
g. Mean
h. Internal valicity
i. Range
j. Standard deviation
k. Validity
DEFINITION
a. Null hypothesis
b. Summation
c. Factorial
d. Nonparametric hypothesis test
e. Population standard deviation
f. Alternate hypothesis
g. Maximum allowable error
h. Population mean
i. Probability of success in a binomial trial
SYMBOLS
1. { (Uppercase Signal)
2. (Mu)
3. (Lowercase Signal)
4. (Pi)
5. (Epsilon)
6. (Chi Square)
7. !
8. H0 (it's a small o)
9. H1 (it's a small 1)
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Solution Summary
This solution contains a detailed explanation of certain statistical symbols and definitions.
Education
- BSc , Wuhan Univ. China
- MA, Shandong Univ.
Recent Feedback
- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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