A sample from a population should be which of the following? - Answers -representative
Which of the following is not a characteristic of predictive modeling? - Answers -
answers the question "How is X related to Y?"
The standard error measures the variability associated with the sample mean, x̄ . -
Answers -true
Select the statement below that incorrectly interprets a 95% confidence interval (15.02,
15.04) for the population mean, if the sample mean is 15.03 ounces. - Answers -The
probability is .95 that the true average weight is between 15.02 and 15.04 ounces.
How do you define the term power? - Answers -the measure of the ability of the
statistical hypothesis test to reject the null hypothesis when it is actually false
The location and spread of a normal distribution depend on the value of which two
parameters? - Answers -the mean (μ) and the standard deviation (σ)
Given the following SAS output, is there sufficient evidence to reject the hypothesis of
equal means?
Dunnett's method compares all possible pairs of means - Answers -false
Which of the following phrases describes the model sums of squares, or SSM, in one-
way ANOVA? - Answers -the variability between the groups
Based on the following correlation matrix, what type of relationship do Performance and
RunTime have?
Pearson Correlation Coefficients, N = 31Prob > |r| under H0:
Rho=0PerformanceRunTimeAgePerformance1.00000-0.82049-
0.71257<.0001<.0001Error-0.820491.000000.19523<.00010.2926Corrected Total-
0.712570.195231.00000<.00010.2926 - Answers -a fairly strong, negative linear
relationship
In the simple linear regression model, what does β1 represent? - Answers -the slope
parameter
, Which of the following statements describes a positive linear relationship between two
variables?
The more I eat, the less I want to exercise.
The more salty snacks I eat, the more water I want to drink.
No matter how much I exercise, I still weigh the same. - Answers -2 only
What output does the following program produce?
proc corr data=stat1.bodyfat2 nosimple plots(only)=scatter(nvar=all); var Age Weight
Height; run; - Answers -a table of correlations and individual scatter plots for each
variable in the VAR statement
Given the following PROC REG output and assuming a significance level of 0.05, which
of the following statements is true? Select all that apply.
Analysis of VarianceSourceDFSum ofSquaresMeanSquaresF ValuePr >
FModel1119.72668119.726682.000.1585Error2501495959.83716Corrected
Total25115079
Root MSE7.73545R-Square0.0079Dependent Mean18.93849Adj R-Sq0.0040Coeff
Var40.84511
Parameter EstimatesVariableDFParameterEstimateStandardErrort ValuePr >|t|
Intercept132.165429.363503.440.0007Height1-0.188560.13330-1.410.1585 - Answers -
The model explains less than 1% of the variation in the response variable.
If you want to compare the average monthly spending for teenagers, adults, and senior
citizens, which statistical method should you choose? - Answers -one-way ANOVA
If you're trying to understand the relationship between age, weight, and running time,
what is your goal? - Answers -explanatory analysis
When you perform a two-way ANOVA in SAS, which of the following statements
correctly defines the model that includes the interaction between the two main effect
variables? - Answers -model Health=Drug Disease Drug*Disease;
A bank manager is concerned that the percent of loans processed that contain errors
has increased above the acceptable amount of 1%. A significance test is conducted to
test his concern (H0: loan error rate<=0.01, Ha: loan error rate>0.01).
The manager concludes that the rate is indeed above 1%, when in reality it is not. What
type of error did the manager make? - Answers -Type I
To reject a test with Student's t statistic, the t statistic should be far from 0 and have a
small corresponding p-value. - Answers -true
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