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Terms in this set (69)
Confidence interval
know its going to be between two numbers (give or take)
Estimater
Unbiased, consistant, fairly efficient
interval estimate
range of values to estimate the parameters
estimate
may not contain the value of the perameter being estimated
Confidence level
percentage you WANT to containt he perameter
Confidence interval
a certain percent confidence that the population falls within the interval
statistical hypothesis testing
decision making process for evaluating claims about a population
Researcher's job
1.pick/find population
2.state hypothesis
3. give significance level
4. select sample
5. collect data
6. calculations 
7. conclusion
2 Types of hypothesis
null- Ho always contains equal
>>>>states there is no difference between the parameter and a specific value or no difference between two parameters. alternative-H1
>>>>states that there is a difference between a parameter and a specific value or between two parameters. Statistical Test
uses data from a sample to make a decision aobut whether or not the null hypothesis should be rejected
Test Value
numerical value obtained from a statistical test
Typer 1 error
occurs if one rejects the null when it is true
Type 2 error
occurs when you do not reject the null hypothesis when it is false
Level of significance
maximum probability of commutting a type one error
critical value
separates critical region from non critical region
critical region
range of values of the test value that indicates that it was probably due to chance and that the null hypothesis should not be rejected.