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12 Cards in this Set
- Front
- Back
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SAMPLE PROPORTION ( P HAT, P^) |
Also known as probability of success in a sample. EX: if X is the number of wins (successes) in a sample of n(5) then; p^ = x/5 |
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POPULATION PROPORTION ( P ) |
A Fraction of the population. EX: there's a population of 500 people and 200 of them has golden retrievers, the fraction of golden retrievers is 200 out of 500. P=200 |
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POINT ESTIMATE |
Point estimate is the "best" estimate in a parameter of a population. EX: X-bar the point estimate for the population mean. |
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CONFIDENCE INTERVAL |
A range of values we are absolutely sure our true value lies in. Formulas: p ± z σp , X ± Zs√n, |
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CONFIDENCE LEVEL |
The probability that the value of a parameter falls within a specified range of values. disclaimer: confidence interval and confidence level is different, when finding the level; take half of the CI multiply by sqrt and divide by the sample deviation. |
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CONFIDENCE INTERVAL LIMITS |
The numbers at the upper and lower end of a confidence interval. EX: if your mean is 13.4 with confidence limits of 10.8 and 15.6, your confidence interval i 10.8 and 15.6 |
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CRITICAL VALUE |
A point on the test distribution that is compared to the test statistic to determine whether to reject or fail to reject the null hypothesis. |
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MARGIN OF ERROR |
A statistic expression expressing the amount of random sampling error in the results of the survey. Formula: z x o'/sqrt n |
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STUDENT t DISTRIBUTION |
A probability distribution that is used to estimate population parameters when the sample is small or the population variance is unknown. |
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DEGREES OF FREEDOM |
The number of independent values or quantities which can be assigned to a statistical distribution. Formula: df= N-1 |
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CHI-SQUARE DISTRIBUTION |
The distribution of the sum of squared standard normal distribution, as the degree of freedom increases the chi square distribution approaches normal distribution. Formula: x^2 = (n-1)s^2/o'^2 |
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ALPHA (a) |
Also known as The significance level, is the probability of rejecting the null hypothesis when it is true. Formula: c-1 |
