Inference with Proportions and Means
Topic Review on "Title": 
 Inference: statistical inference is to perform testing and estimation in such a manner as to provide for the evaluation and control over the probabilities of making such errors.
 Tests of hypothesis: the statement about the values of population parameters may or may not be rejected.
 Estimation: the process by which sample data are used to indicate the value of an unknown quantity in the population.
 Experiment: data from a sample are used to test the validity of the hypothesis is called experiment.
 Statistical hypothesis: the hypothesis is stated in terms of population parameters such as the mean and variance.
 Null hypothesis: is a statement about the values of one or more parameters.
 Alternative hypothesis: the statement we hope or suspect is true.
 Type I error: null hypothesis is actually true but the decision is to reject it.
Level of significance maximum probability of committing a type I error.
 Confidence interval: certain probability that the true proportion is within the interval.
 Tests of significance: are used to assess the evidence provided by data in support of a claim about the population.
 Pvalue: the probability that the test statistic would take on as extreme a value as that observed, assuming that the null hypothesis is true.
Sample Mean
 Standard Deviation
 Propotion p =
 Standard Error
 Comparing proportions
 Z Statistic

Rapid Study Kit for "Title": 
Flash Movie 
Flash Game 
Flash Card 
Core Concept Tutorial 
Problem Solving Drill 
Review Cheat Sheet 




"Title" Tutorial Summary : 
Statistics is the art of decision making in the face of uncertainty. The field of statistical inference consists of those methods used to make decisions or draw conclusions about a population. These methods utilize the information contained in a sample from the population in drawing conclusions.
Tests of significance are used to assess the evidence provided by data in support of a claim about the population. The "strength of the evidence" against the claim is used to refute a false claim. Numerical examples are used to illustrate the steps in the hypothesis testing that leads to the final conclusion.

Tutorial Features: 
Specific Tutorial Features:
 The properties of the inference with proportions and means are shown in the examples.
 Step by step explanation of hypothesis testing is provided.
Series Features:
 Concept map showing interconnections of new concepts in this tutorial and those previously introduced.
 Definition slides introduce terms as they are needed.
 Visual representation of concepts
 Animated examples—worked out step by step
 A concise summary is given at the conclusion of the tutorial.

"Title" Topic List: 
 Inference
 Test of hypothesis
 Type I and type II errors
 Inference on the population mean
 Confidence interval for proportions
 One population proportion hypothesis testing
 Comparing two population proportions

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