5.01p, 5.02p, 5.41, 5.42
... Note that both of the sample means above differ somewhat from the population mean of 68. The point of examining a sampling distribution is to be able to see the reliability of a random sample. To do this, you generate many trials — say, 1000 — and look at the distribution of the trials. For example, ...
... Note that both of the sample means above differ somewhat from the population mean of 68. The point of examining a sampling distribution is to be able to see the reliability of a random sample. To do this, you generate many trials — say, 1000 — and look at the distribution of the trials. For example, ...
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 ...
Previously, when making inferences about the population mean
... Except in the case of small samples, the condition that the data are an SRS from the population of interest is more important than the condition that the population distribution is normal. Sample size less than 15: Use t procedures if the data appear close to normal (roughly symmetric, single pe ...
... Except in the case of small samples, the condition that the data are an SRS from the population of interest is more important than the condition that the population distribution is normal. Sample size less than 15: Use t procedures if the data appear close to normal (roughly symmetric, single pe ...
t distributions
... t distributions > The t distribution is used when we do not know the population information. • So we use the sample to estimate the population information. • Because we are using the sample, the t distribution changes based on that sample. ...
... t distributions > The t distribution is used when we do not know the population information. • So we use the sample to estimate the population information. • Because we are using the sample, the t distribution changes based on that sample. ...
Slides for Session #20
... Another application of t tests for the equality of means • “In many studies, one group of volunteers will be given an experimental or "test" drug or treatment, while the control group is given either a standard treatment for the illness or an inactive pill, liquid, or powder that has no treatment v ...
... Another application of t tests for the equality of means • “In many studies, one group of volunteers will be given an experimental or "test" drug or treatment, while the control group is given either a standard treatment for the illness or an inactive pill, liquid, or powder that has no treatment v ...
Review for the Final
... IX. Complete each sentence by putting an appropriate word, phrase or symbol in each blank. 1) If the median of a population is smaller than its mean, then the population is skewed to the __________ 2) For any distribution, ...
... IX. Complete each sentence by putting an appropriate word, phrase or symbol in each blank. 1) If the median of a population is smaller than its mean, then the population is skewed to the __________ 2) For any distribution, ...
Stat 101 Lesson 6
... Variance of a Population – is the average of the squares of the deviations of the measurements about their mean µ. ...
... Variance of a Population – is the average of the squares of the deviations of the measurements about their mean µ. ...
