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10 Cards in this Set
- Front
- Back
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The standard error of Y is given by the following formula:
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S(y)/n^(.5)
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The critical value of a two-sided t-test computed from a large sample
a. is 1.64 if the significance level of the test is 5%. b. cannot be calculated unless you know the degrees of freedom. c. is 1.96 if the significance level of the test is 5%. d. is the same as the p-value. |
c
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When you are testing a hypothesis against a two-sided alternative, then the
alternative is written as a. E(Y)> μY ,0 . b. ,0 ( ) Y E Y = μ . c. Y ,0 Y ≠ μ . d. ,0 ( ) Y E Y ≠ μ . |
d. E (Y) ≠ μ(Y,0)
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A large p-value implies
a. rejection of the null hypothesis. b. a large t-statistic. c. a large Y act (actual value of Y ) . d. that the observed value Y act is consistent with the null hypothesis. |
d
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Degrees of freedom
a. in the context of the sample variance formula means that estimating the mean uses up some of the information in the data. b. is something that certain undergraduate majors at your college other than economics seem to have an ∞ amount of. c. are (n-2) when replacing the population mean by the sample mean. d. ensure that 2 2 Y Y s =σ . |
a
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The t-statistic is defined as follows:
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t= ( (Y(bar)-μ(Y,0)) /SE (Y(bar))
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The power of the test
a. is the probability that the test actually incorrectly rejects the null hypothesis when the null is true. b. depends on whether you use Y or Y 2 for the t-statistic. c. is one minus the size of the test. d. is the probability that the test correctly rejects the null when the alternative is true. |
d
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When the sample size n is large, the 90% confidence interval for μY is
a. Y±1.96SE(Y). b. Y±1.64SE(Y) . c. 1.64 Y Y ± σ . d. Y ±1.96 . |
b
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To standardize a variable you
a. subtract its mean and divide by its standard deviation. b. integrate the area below two points under the normal distribution. c. add and subtract 1.96 times the standard deviation to the variable. d. divide it by its standard deviation, as long as its mean is 1. |
a
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An estimator is
a. an estimate. b. a formula that gives an efficient guess of the true population value. c. a random variable. d. a nonrandom number. |
c
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