Class Reflection #1 (September 6th, 2011)
... Sample size: larger sample size reduces MMID3 variability - thus, improving the precision of S-ID.3 inference MM4D2 Moving from descriptive statistics to making inference: Margin of Error (ME). ME allows S-IC.1 statement about the range of plausible values for the population parameter. ME measures s ...
... Sample size: larger sample size reduces MMID3 variability - thus, improving the precision of S-ID.3 inference MM4D2 Moving from descriptive statistics to making inference: Margin of Error (ME). ME allows S-IC.1 statement about the range of plausible values for the population parameter. ME measures s ...
Introduction to Statistics
... Simple idea: Count the number of observations > m, out of a total number of observations N. If the null hypothesis is true, then on average, we expect about N / 2 observations to be greater than m, and about N / 2 observations to be less than m. So suppose x = number of observations > m. We can actu ...
... Simple idea: Count the number of observations > m, out of a total number of observations N. If the null hypothesis is true, then on average, we expect about N / 2 observations to be greater than m, and about N / 2 observations to be less than m. So suppose x = number of observations > m. We can actu ...
Probability and Samples: The Distribution of Sample Means
... a) Describe the distribution of sample means for samples of size n=16 selected from this population. (Describe shape, central tendency, and variability, for the distribution) b) How would the distribution of sample means be changed if the sample size were n=100 instead of n=16. ...
... a) Describe the distribution of sample means for samples of size n=16 selected from this population. (Describe shape, central tendency, and variability, for the distribution) b) How would the distribution of sample means be changed if the sample size were n=100 instead of n=16. ...
Inference as Decision
... Tests of significance assess the evidence against the null hypothesis. We measure evidence by the p-value, a probability found under the assumption that the null hypothesis is true. Using a fixed level significance with our test can be considered as making a decision based on the outcome. We do our ...
... Tests of significance assess the evidence against the null hypothesis. We measure evidence by the p-value, a probability found under the assumption that the null hypothesis is true. Using a fixed level significance with our test can be considered as making a decision based on the outcome. We do our ...
