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The lecture Inference for Means by David Spade, PhD is from the course Statistics Part 2. It contains the following chapters:
What describes the central limit theorem?
What is not true of the use of the tdistribution as a model for the sample mean?
What is not a property of the tdistribution?
What is the tstatistic if the hypothesized mean difference is 3, the sample mean difference is 1, the sample standard deviation of the difference is 2, and the sample size is 25?
What is not a condition required for a onesample tinterval for means?
What is poor practice when using the onesample tprocedure?
What is the tstatistic if the hypothesized mean is 5, sample mean is 3, sample standard deviation is 1, and sample size is 16?
For which hypothesis are we likely to use a twotailed test?
A tdistribution is used when the population standard deviation is unknown and the sample size is less than what value?
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