AS91586 Probability distributions (3.14)
... Randomness - what specifically is the random process for the situation? Independence - what specific things are you assuming don’t influence each other? Why does independence matter? Probabilities given - why are you assuming these will stay the same? Will these always stay the same? Will things run ...
... Randomness - what specifically is the random process for the situation? Independence - what specific things are you assuming don’t influence each other? Why does independence matter? Probabilities given - why are you assuming these will stay the same? Will these always stay the same? Will things run ...
Ψ320 Ainsworth Final Exam – Practice problems 1. True or False
... 12. True or False: In order for an interaction to occur the plotted lines must always be cross. 13. Which of the following statements about Omega squared is NOT true? 1) It is less biased than Eta Squared 2) Both the numerator and denominator are adjusted for the within groups variance 3) It include ...
... 12. True or False: In order for an interaction to occur the plotted lines must always be cross. 13. Which of the following statements about Omega squared is NOT true? 1) It is less biased than Eta Squared 2) Both the numerator and denominator are adjusted for the within groups variance 3) It include ...
Common Core PowerPoint - Michigan Math and Science Centers
... Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates vari ...
... Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates vari ...
Confidence Interval Estimations
... Properties of t-distribution (Student’s t-distribution) Symmetrical (bell shaped) Less peaked and fatter tails than a normal distribution Defined by single parameter, degrees of freedom (df), where df = n – 1 As df increase, t-distribution approaches normal distribution ...
... Properties of t-distribution (Student’s t-distribution) Symmetrical (bell shaped) Less peaked and fatter tails than a normal distribution Defined by single parameter, degrees of freedom (df), where df = n – 1 As df increase, t-distribution approaches normal distribution ...
Probability Concepts
... If A and b are any two events, then P(AB) = P(A) P(B|A) = P(B) P(A|B) If A and B are independent, then P(AB) = P(A)P(B) Example: Records indicate that for the parts coming out of a hydraulic repair shop at an airline rework facility, 20% will have a shaft defect, 10% will have a bushing defect, and ...
... If A and b are any two events, then P(AB) = P(A) P(B|A) = P(B) P(A|B) If A and B are independent, then P(AB) = P(A)P(B) Example: Records indicate that for the parts coming out of a hydraulic repair shop at an airline rework facility, 20% will have a shaft defect, 10% will have a bushing defect, and ...
Continuous Probability Distributions
... • The standard normal table is a table that lists the area under the standard normal curve to the right of the mean (z=0) up to the z value of interest – See Table 6.1, Table A.3 in Appendix A, and the table on the back of the front cover • This table is so important that it is repeated 3 times in t ...
... • The standard normal table is a table that lists the area under the standard normal curve to the right of the mean (z=0) up to the z value of interest – See Table 6.1, Table A.3 in Appendix A, and the table on the back of the front cover • This table is so important that it is repeated 3 times in t ...