QMB 3200 UCF CERTIFICATION
EVALUATION COMPLETE QUESTIONS AND
ANSWERS GRADED A PLUS
●● What is sampling error?
Answer: The difference between a sample result and the population
value.
●● What happens to the standard error as the sample size increases?
Answer: It decreases.
●● What does the Central Limit Theorem imply?
Answer: The sampling distribution becomes approximately normal as
sample size increases.
●● What does a 95% confidence interval mean?
Answer: 95% of such intervals would contain the true parameter.
●● How can a company achieve a smaller margin of error?
Answer: By increasing sample size.
●● What is a p-value?
, Answer: The probability of observing the sample result if the null
hypothesis is true.
●● What does failing to reject the null hypothesis mean?
Answer: There is not enough evidence to support the alternative
hypothesis.
●● What occurs during a Type I error?
Answer: A true null hypothesis is rejected.
●● What is an example of matched samples?
Answer: Measuring the same group of employees before and after
training.
●● Why is a pooled proportion used when comparing two population
proportions?
Answer: The null hypothesis assumes the proportions are equal.
●● What does the dependent variable (y) represent in regression?
Answer: The outcome being explained.
●● What does the slope (b₁) in a regression model represent?
Answer: The change in y for a one-unit increase in x.
EVALUATION COMPLETE QUESTIONS AND
ANSWERS GRADED A PLUS
●● What is sampling error?
Answer: The difference between a sample result and the population
value.
●● What happens to the standard error as the sample size increases?
Answer: It decreases.
●● What does the Central Limit Theorem imply?
Answer: The sampling distribution becomes approximately normal as
sample size increases.
●● What does a 95% confidence interval mean?
Answer: 95% of such intervals would contain the true parameter.
●● How can a company achieve a smaller margin of error?
Answer: By increasing sample size.
●● What is a p-value?
, Answer: The probability of observing the sample result if the null
hypothesis is true.
●● What does failing to reject the null hypothesis mean?
Answer: There is not enough evidence to support the alternative
hypothesis.
●● What occurs during a Type I error?
Answer: A true null hypothesis is rejected.
●● What is an example of matched samples?
Answer: Measuring the same group of employees before and after
training.
●● Why is a pooled proportion used when comparing two population
proportions?
Answer: The null hypothesis assumes the proportions are equal.
●● What does the dependent variable (y) represent in regression?
Answer: The outcome being explained.
●● What does the slope (b₁) in a regression model represent?
Answer: The change in y for a one-unit increase in x.
