Which of the following is an assumption of the One-Way Analysis of Variance? A. Individual items in the various subgroups are randomly selected from normally distributed populations. B. The samples that constitute the groups should be homogeneous. C. The samples that constitute the groups should be independent. D. All of the above.
Which of the following is an assumption of the One-Way Analysis of Variance?
A. Individual items in the various subgroups are randomly selected from
B. The samples that constitute the groups should be homogeneous.
C. The samples that constitute the groups should be independent.
D. All of the above.
What is one distinction between a parameter and a statistic?
A. A parameter is only based on conceptual measurements, but a statistic is based on a combination of real and conceptual measurements.
B. A statistic changes every time you try to measure it (using different samples), but a parameter remains fixed.
C. A parameter changes each time you try to measure it, but a statistic remains fixed across samples.
D. The true value of a statistic can never be known but the true value of a parameter can be known.
A random sample of 120 triple A batteries gives an average lifetime of 9.09 hours. It is known that the standard deviation of triple A battery lifetimes is 25 minutes. In this case, the value 25 minutes is
A. a parameter
B. a statistic
C. the standard error of the mean
D. the average lifetime of batteries in the long run.
In statistics, a standard score or z-score indicates by how many standard deviations an observation is above or below the mean. The z-value is often used in standardized testing of statistical hypothesis. On the other hand, a confidence interval gives an estimated
A. ±1.28
B. ±1.65
C. ±1.96
D. ±2.24
Which of the following is NOT TRUE about the boxplot?
A. The boxplot shows the mean of the data.
B. The boxplot shows the
C. The boxplot gives an indication of the spread of the data.
D. The boxplot indicates the presence of outliers in the data.
Suppose we wish to test H0: μ ≤ 53 vs Ha: μ > 53. What will result if we conclude that the mean is greater than 53 when in fact the true value of the mean is 55?
A. We have committed a Type I error.
B. We have made a correct decision based on the test.
C. We have committed a Type II error.
D. None of the above.
In hypothesis testing, the significance level represents the probability of
A. committing a Type I error.
B. committing a Type II error.
C. rejecting the null hypothesis when it is in fact false.
D. failing to reject the null hypothesis when it is in fact true.
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