Chapter 9: Sampling Distributions
... did in PLOT 2 for the population. What do the Shape, Center, and Spread look like for THIS NEW distribution? Let’s look at the new SAMPLING DISTRIBUTION of Sample means of n = 100 histogram! Conclusion: What is the relationship between the mean of the population and the mean of the X bars? What abou ...
... did in PLOT 2 for the population. What do the Shape, Center, and Spread look like for THIS NEW distribution? Let’s look at the new SAMPLING DISTRIBUTION of Sample means of n = 100 histogram! Conclusion: What is the relationship between the mean of the population and the mean of the X bars? What abou ...
What Can Be Inferred From A Kiss
... selecting a sample and using the sample data to test a null hypothesis that should be rejected. (d) Explain how the Type I error rate ( ) is related to the Type II error rate ( ). In addition, give an intuitive explanation as to why this relationship holds. 2. Test H 0 : 6.26 versus H A : ...
... selecting a sample and using the sample data to test a null hypothesis that should be rejected. (d) Explain how the Type I error rate ( ) is related to the Type II error rate ( ). In addition, give an intuitive explanation as to why this relationship holds. 2. Test H 0 : 6.26 versus H A : ...
Chapter 1
... the true mean is between 5’ and 5’ 4” If a sample results in a mean of 5’ 3” we accept a hypothesis that the ht is 5’ 3” because it lies within the limits (5’ and 5’ 4”) ...
... the true mean is between 5’ and 5’ 4” If a sample results in a mean of 5’ 3” we accept a hypothesis that the ht is 5’ 3” because it lies within the limits (5’ and 5’ 4”) ...
2002_APSTATS_MC 26,27,28,29,30
... D) The 98% confidence interval includes all of the values that would make you accept the null given that the null was one of the values within the confidence interval. Since, 40,000 is not included in the given confidence interval ($41,300, $58,630), you would reject the null hypothesis at this give ...
... D) The 98% confidence interval includes all of the values that would make you accept the null given that the null was one of the values within the confidence interval. Since, 40,000 is not included in the given confidence interval ($41,300, $58,630), you would reject the null hypothesis at this give ...
Sampling and estimation 2
... • There is an asymmetry between H0 and H1: In fact, if the data is inconclusive, we end up not rejecting H0. • If H0 is true the probability to reject H0 is (say) 5%. That DOES NOT MEAN we are 95% certain that H0 is true! • How much evidence we have for choosing H1 over H0 depends entirely on how mu ...
... • There is an asymmetry between H0 and H1: In fact, if the data is inconclusive, we end up not rejecting H0. • If H0 is true the probability to reject H0 is (say) 5%. That DOES NOT MEAN we are 95% certain that H0 is true! • How much evidence we have for choosing H1 over H0 depends entirely on how mu ...
Glossary of Statistical Terms - User Web Areas at the University of York
... potential confounding factors like age and sex. Comparisons between cases and controls must take into account any differences e.g. by adjustment in the analysis. However if each case is paired or matched with a control who is deliberately chosen to be of the same age and sex, adjustment, at least fo ...
... potential confounding factors like age and sex. Comparisons between cases and controls must take into account any differences e.g. by adjustment in the analysis. However if each case is paired or matched with a control who is deliberately chosen to be of the same age and sex, adjustment, at least fo ...
Multiple choice test from Spring 1998
... approximately normal because the sample means are always normally distributed. approximately normal because the sample size is large. approximately normal because the sample size is small. approximately normal because of the central limit theorem.. normal if the population is normally distributed. ...
... approximately normal because the sample means are always normally distributed. approximately normal because the sample size is large. approximately normal because the sample size is small. approximately normal because of the central limit theorem.. normal if the population is normally distributed. ...
MATH 156, General Statistics
... probability that the ball winds up on a slot that is: a) green _______ b) either red or green _______ c) not green ________. 3. The test light on a CO detector flashes every 30 seconds to indicate that the device is working. If you arrive at the detector at a random time, find the probability that t ...
... probability that the ball winds up on a slot that is: a) green _______ b) either red or green _______ c) not green ________. 3. The test light on a CO detector flashes every 30 seconds to indicate that the device is working. If you arrive at the detector at a random time, find the probability that t ...
