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QNT 275 FINAL EXAM | VERIFIED SOLUTION

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QNT 275 FINAL EXAMYour exam has been submitted Status: Submitted on Oct 29, 2017, 7:50 PM Results: 29/30 (96.67%) The model y = A + Bx is a: • stochastic model • probabilistic model • nonlinear model • deterministic model To make tests of hypotheses about more than two population means, we use the: • chi-square distribution • t distribution • analysis of variance distribution • normal distribution A linear regression: • gives a relationship between two variables that cannot be described by a line

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QNT 275 FINAL EXAM
Your exam has been submitted
Status:
Submitted on Oct 29, 2017, 7:50 PM
Results:
29/30 (96.67%)
The model y = A + Bx is a:




stochastic model



probabilistic model



nonlinear model



deterministic model


To make tests of hypotheses about more than two population means, we use the:



chi-square distribution



t distribution



analysis of variance distribution



normal distribution



A linear regression:


, gives a relationship between two variables that cannot be described by a line



gives a relationship between two variables that can be described by a line



contains only two variables



gives a relationship between three variables that can be described by a line

, A qualitative variable is the only type of variable that:



can assume an uncountable set of values



can assume numerical values



cannot be graphed



cannot be measured numerically

For a one-tailed test, the p-value is:



the area under the curve to the same side of the value of the sample statistic as is
specified in the alternative hypothesis



the area under the curve between the mean and the observed value of the sample
statistic



twice the area under the curve to the same side of the value of the sample statistic as is
specified in the alternative hypothesis



twice the area under the curve between the mean and the observed value of the sample
statistic

The alternative hypothesis is a claim about a:



parameter, where the claim is assumed to be true if the null hypothesis is declared false



parameter, where the claim is assumed to be true until it is declared false



statistic, where the claim is assumed to be true if the null hypothesis is declared false

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