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1. Bias of a statistic refers to
A. the difference between a statistic and the actual parameter.B. whether or not questions were worded fairly.C. the difference between a sampling distribution mean and the parameter.
2. The mean of a sample is 22.5. The mean of 1000 bootstrapped samples is 22.491. The bias of the bootstrap mean is
A. 0.009.B. 0.0045.C. 0.09.
3. A sample of size 8 had a mean of 22.5. It was bootstrapped 1000 times and the mean of the bootstrap distribution was 22.491. The standard deviation of the bootstrap was 2.334. The 95% t confidence interval for the population mean is
A. 22.491 ± 5.52.B. 22.5 ± 5.52.C. 22.5 ± 5.38.
For each of the 50 states and Washington, D.C., a number of statistics related to education are available for 1992
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How large should n be so that a 90% confidence interval for µ has a margin of error and What is the P-value for a test of the hypotheses
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The conservative degrees of freedom for the t distribution are and The standard error, conservative degrees of freedom
Which of the following statements is consistent with the scatterplot
A random sample of students is selected, and each one is asked to try first brand A and then brand B, or vice versa with the order determined at random.
Support colour-coding on packaged food to indicate healthier options
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Which of the following events are disjoint and What proportion of the females rated their intelligence less than 7.
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The multiple logistic regression output from fitting this model is given below.
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