chap 06 sec1
... 95% of the area under the standard normal curve falls within 1.96 standard deviations of the mean. (You can approximate the distribution of the sample means with a normal curve by the Central Limit Theorem, because n = 40 ≥ 30.) ...
... 95% of the area under the standard normal curve falls within 1.96 standard deviations of the mean. (You can approximate the distribution of the sample means with a normal curve by the Central Limit Theorem, because n = 40 ≥ 30.) ...
Chapter 5: Descriptive Research
... • If there is no effect of the independent variable the F value will be 1 or close to 1, the larger the effect the larger the F value. • Compare your F value to the critical F value using tables in text. • Need the alpha level (.05) and dfbg and dfwg • If your F is larger than the critical F then yo ...
... • If there is no effect of the independent variable the F value will be 1 or close to 1, the larger the effect the larger the F value. • Compare your F value to the critical F value using tables in text. • Need the alpha level (.05) and dfbg and dfwg • If your F is larger than the critical F then yo ...
for Version 1.0, June 2011 TECHNICAL APPENDIX
... The Bluetooth technology measures a sample of travel times between two cross sections of the highway. The distance between a pair of sensors will then be needed to convert the travel times into speeds. In practice sensors were deployed based on the coordinates provided in the traffic message chan ...
... The Bluetooth technology measures a sample of travel times between two cross sections of the highway. The distance between a pair of sensors will then be needed to convert the travel times into speeds. In practice sensors were deployed based on the coordinates provided in the traffic message chan ...
One-Way Multiple Comparisons Tests
... One could just use multiple t-tests to make each comparison desired, but one runs the risk of greatly inflating the familywise error rate (the probability of making one or more Type I errors in a family of c comparisons) when doing so. One may use a series of protected t-tests in this situation. Thi ...
... One could just use multiple t-tests to make each comparison desired, but one runs the risk of greatly inflating the familywise error rate (the probability of making one or more Type I errors in a family of c comparisons) when doing so. One may use a series of protected t-tests in this situation. Thi ...
cal_meet_1206
... 1. Find 3 points: X1, X2, X3 on the X-axis that correspond to 15%, 50% and 85% of the number of generated pulses (compare the count readings with three thresholds and take the nearest points that match this condition) . Drawback: the 1st or the 3rd points could be missing for noisy / inefficient pix ...
... 1. Find 3 points: X1, X2, X3 on the X-axis that correspond to 15%, 50% and 85% of the number of generated pulses (compare the count readings with three thresholds and take the nearest points that match this condition) . Drawback: the 1st or the 3rd points could be missing for noisy / inefficient pix ...
