Statistics Questions with CORRECT Answers (Verified Update)
Q1: consists of n individuals from the population chosen in such a way that every set of n
individuals has an equal chance to be the sample actually selected
Answer: simple random sample
Q2: When two variables are associated in such a way that their effects on a response variable
cannot be distinguished from each other.
Answer: Confounding
Q3: refers to a result that is statistically unlikely to have occurred by chance
Answer: statistically significant
Q4: Correlation does not equal causation
Answer: Two conditions may appear together but not cause each other. -Possible presence of a third
underlying variable.
Q5: Alternative Hypothesis (Ha)
Answer: The claim about the population that we are trying to find evidence for.
Q6: Bias
Answer: systematically favors certain outcomes
Q7: Binomial Distribution
Answer: a frequency distribution of the possible number of successful outcomes in a given number
of trials in each of which there is the same probability of success.
Q8: blind study
Answer: participants don't know what they're getting
Q9: Blocking
Answer: Grouping together similar experimental units and then randomly assigning within each
group to a treatment
Q10: Census
Answer: the collection of data from every member of the population
, Q11: Central Limit Theorem (CLT)
Answer: Says that when n is large, the sampling distribution of the sample mean is approximately
Normal (n is equal or greater than 30)
Q12: cluster sample
Answer: obtained by selecting all individuals within a randomly selected collection or group of
individuals
Q13: coefficient of determination
Answer: tells what percent of the change in the response variable can be attributed to the change in
the explanatory variable (r squared)
Q14: confidence interval
Answer: the range of values within which a population parameter is estimated to lie
Q15: confidence level
Answer: the estimated probability that a population parameter lies within a given confidence
interval
Q16: continuous random variable
Answer: a random variable where the data can take infinitely many values
Q17: control
Answer: a part of an experiment that does not change during the experiment, insures the other
influences are equal on all groups
Q18: control group
Answer: In an experiment, the group that is not exposed to the treatment; contrasts with the
experimental group and serves as a comparison for evaluating the effect of the treatment.
Q19: critical value
Answer: A value used in a hypothesis test to help determine if the null hypotheses should be
rejected
Q20: degrees of freedom
Answer: The number of individual scores that can vary without changing the sample mean.
Statistically written as 'N-1' where N represents the number of subjects.
Q1: consists of n individuals from the population chosen in such a way that every set of n
individuals has an equal chance to be the sample actually selected
Answer: simple random sample
Q2: When two variables are associated in such a way that their effects on a response variable
cannot be distinguished from each other.
Answer: Confounding
Q3: refers to a result that is statistically unlikely to have occurred by chance
Answer: statistically significant
Q4: Correlation does not equal causation
Answer: Two conditions may appear together but not cause each other. -Possible presence of a third
underlying variable.
Q5: Alternative Hypothesis (Ha)
Answer: The claim about the population that we are trying to find evidence for.
Q6: Bias
Answer: systematically favors certain outcomes
Q7: Binomial Distribution
Answer: a frequency distribution of the possible number of successful outcomes in a given number
of trials in each of which there is the same probability of success.
Q8: blind study
Answer: participants don't know what they're getting
Q9: Blocking
Answer: Grouping together similar experimental units and then randomly assigning within each
group to a treatment
Q10: Census
Answer: the collection of data from every member of the population
, Q11: Central Limit Theorem (CLT)
Answer: Says that when n is large, the sampling distribution of the sample mean is approximately
Normal (n is equal or greater than 30)
Q12: cluster sample
Answer: obtained by selecting all individuals within a randomly selected collection or group of
individuals
Q13: coefficient of determination
Answer: tells what percent of the change in the response variable can be attributed to the change in
the explanatory variable (r squared)
Q14: confidence interval
Answer: the range of values within which a population parameter is estimated to lie
Q15: confidence level
Answer: the estimated probability that a population parameter lies within a given confidence
interval
Q16: continuous random variable
Answer: a random variable where the data can take infinitely many values
Q17: control
Answer: a part of an experiment that does not change during the experiment, insures the other
influences are equal on all groups
Q18: control group
Answer: In an experiment, the group that is not exposed to the treatment; contrasts with the
experimental group and serves as a comparison for evaluating the effect of the treatment.
Q19: critical value
Answer: A value used in a hypothesis test to help determine if the null hypotheses should be
rejected
Q20: degrees of freedom
Answer: The number of individual scores that can vary without changing the sample mean.
Statistically written as 'N-1' where N represents the number of subjects.
