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11 Cards in this Set
- Front
- Back
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Whats the difference between X1 and x1 |
X1 is a random variable, and x1 is a specific numerical value |
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The upper and lower bounds of a confidence Interval, L and U, will be the same each time a new sample is taken and x- is computed from the sample |
False |
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We would not develop a confidence interval on the population mean, u (micro), if we had all the population observations or knew what u was |
True |
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When the size n of a population is large, the associated standard deviation can be considered to be equal to ___ with very little effect on the computations of confidence intervals for the mean |
s (standard deviation?) |
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If t⬇️(0.01, 12) is the value on the t-axis for T with 12 degrees of freedom such that thebarea above it is 0.01, then -t⬇️(0.01, 12) is the value on the t-axis for T with 12 degrees of freedom such that the area ___ it is 0.01 |
Below |
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The closer we want our estimated, ^p, to be the truth proportion, p, the ___ the sample size will have to be. |
Larger |
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Although the null hypothesis, H0, is always taken to be an equality, if the alternative hypothesis, H1, is >, then we can implicit claim that H0 is < or = |
True |
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Failing to reject H0 when H0 is true is |
No error |
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Whats the difference between Z0 and z0? |
Z0 is a random variable and z0 is a numerical value. |
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For a two-sides test with H1: u =\= u0, the p-value is twice the area under the probability density function of Z ___ the test statistic, z0, if z0 < 0. Assume the population standard deviation is known. |
below |
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If H1: p > p0, the p-value will be the area below the test statistic, z0, under the standard normal pdf |
False |
