MGSC 291 EXAM 2 Questions and Answers University
of South Carolina | With Complete Solutions | Graded
A+ | 2025
Null Hypothesis - ANSWERS parameter= some hypothesized value
= grater than or equal to, less than or equal to
Alternative Hypothesis - ANSWERS uses
not =, <, >
P-Value - ANSWERS the probability given that the null hypothesis is true, of
observing a test statistic that extreme or more extreme in the direction go the
alternative hypothesis
What are the two possible decisions for a hypothesis - ANSWERS Reject Ho
(find for Ha)
Fail to reject Ho (do not find for Ha)
p-values and their significances - ANSWERS P < 0.001, overwhelming evidence
P < 0.01, strong evidence
P < 0.05, sufficient evidence
P < 0.10, marginal evidence
, P > 0.10, little to no evidence
Type 1 Error
(Could make a Type I error if you reject HO
probability of a Type I error = α (the significance level of the test)) - ANSWERS
Reject Ho if Ho is true
Type 2 Error
(definition
Could make a Type II error if you fail to reject HO
Probability of a Type II error = β
1 - β = power) - ANSWERS Fail to reject Ho if Ho is false
Power - ANSWERS 1-B00000
increase alpha= increase power
increase n= increase power
lower std dev= larger power
Dependent Sample - ANSWERS relies on another variable
Independent Sample - ANSWERS rely on nothing
One-Way ANOVA (Analysis of Variance) - ANSWERS
of South Carolina | With Complete Solutions | Graded
A+ | 2025
Null Hypothesis - ANSWERS parameter= some hypothesized value
= grater than or equal to, less than or equal to
Alternative Hypothesis - ANSWERS uses
not =, <, >
P-Value - ANSWERS the probability given that the null hypothesis is true, of
observing a test statistic that extreme or more extreme in the direction go the
alternative hypothesis
What are the two possible decisions for a hypothesis - ANSWERS Reject Ho
(find for Ha)
Fail to reject Ho (do not find for Ha)
p-values and their significances - ANSWERS P < 0.001, overwhelming evidence
P < 0.01, strong evidence
P < 0.05, sufficient evidence
P < 0.10, marginal evidence
, P > 0.10, little to no evidence
Type 1 Error
(Could make a Type I error if you reject HO
probability of a Type I error = α (the significance level of the test)) - ANSWERS
Reject Ho if Ho is true
Type 2 Error
(definition
Could make a Type II error if you fail to reject HO
Probability of a Type II error = β
1 - β = power) - ANSWERS Fail to reject Ho if Ho is false
Power - ANSWERS 1-B00000
increase alpha= increase power
increase n= increase power
lower std dev= larger power
Dependent Sample - ANSWERS relies on another variable
Independent Sample - ANSWERS rely on nothing
One-Way ANOVA (Analysis of Variance) - ANSWERS
