In linear regression analysis, what are residuals?

Question 1Answer

a.The independent variables used to predict the dependent variable.

b.The difference between the predicted values and the actual values of the dependent variable.

c.The coefficient estimates obtained from the regression model.

d.The correlation between the independent and dependent variables.

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A p-value of 0.03 indicates that there is a 3% chance of obtaining the observed data or more extreme if the null hypothesis is true.

Question 2Answer

a.True

b.False

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Failing to reject the null hypothesis when the null hypothesis is false is called a

Question 3Answer

a.Type 2 Error

b.Type 1 Error

c.Correct decision

d.Type 3 Error

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What does statistical inference mean?

Question 4Answer

a.The process of collecting and organizing data.

b.The process of making conclusions or decisions about a population based on sample data.

c.The process of calculating descriptive statistics.

d.The process of conducting experiments and analyzing the results.

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A hypothesis test has been conducted at the 0.05 significance level, resulting in a p-value of 0.25. Obviously, in this case, we would fail to reject H0. If an error was made, it would be a(n)

Question 5Answer

a.impossible outcome since no error could have occurred with such a high p-value.

b.Type II error.

c.Type I error.

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If a given value (for example, the null hypothesized value of a parameter) is within a 90% confidence interval, it will also be within a 95% confidence interval calculated based on the same sample.

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a.True

b.False

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The purpose of a confidence interval is to give a range of likely or plausible values for the

Question 7Answer

a.population parameter.

b.sample statistic.

c.confidence level.

d.difference between the sample statistic and the population parameter.

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The probability, assuming that H0 is true, that the test statistic would take a value as extreme or more extreme than that actually observed is called the ..................... of the test.

Question 8Answer

a.confidence interval

b.p-value

c.null hypothesis

d.conditional probability

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A researcher wants to compare medical treatments given by two different methods (oral and intravenous) and at three different dosage levels (2, 4, and 6 mg). What is the best analysis method?

Question 9Answer

a.One-way ANOVA

b.One-sample t-test

c.Two-way ANOVA

d.Two-sample t-test

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"Significant" in the statistical sense does not mean "important"; it means simply "not likely to happen just by chance."

Question 10Answer

a.True

b.False