WGU D582 INTRO TO STATS FOR
RESEARCH - HELPFUL TIPS CERTIFICATION
SCRIPT 2026 QUESTIONS WITH SOLUTIONS
GRADED A+
◍ C --> C; 2-way frequency table.
Answer: conditional percentages
◍ measures of the center.
Answer: mean, median, mode
◍ Two way ANOVA.
Answer: tests differnces based on two factors and their interaction
◍ smaller sample size.
Answer: outlier has a greater effect.
◍ List, tree, table.
Answer: used to determine sample space and sample size.
◍ law of large numbers.
Answer: as an experiment is repeated again and again, the empirical
probability will get closer and closer to the theoretical probability.
◍ all real numbers with a fixed value, prime, composite, odd, even, rational, or
irrational..
Answer: constants
◍ logic of hypothesis: Crit beats stat?.
Answer: FAIL to reject it.
◍ residual plot.
Answer: random scatter = good fitpattern/curve/funnel = bad model
,◍ right tailed t-stat critical test.
Answer: Reject if: t-stat > critical value (if t-stat is pointing to the right)
◍ five-number summary.
Answer: min, max, median, 1st quartile, 3rd quartile in a set of data.
◍ median.
Answer: resistant measure of center
◍ systematic sample.
Answer: select every n-th individual after choosing a random starting point.
◍ root of a number.
Answer: non-linear
◍ base.
Answer: number of outcomes
◍ Significance > P Value.
Answer: Reject the Null
◍ components in calculation of confidence interval.
Answer: sample statistic, critical value, standard error
◍ confidence interval rule.
Answer: no 0 in interval? → significant.0 in interval? → not
significant.[Popular SIGNIFICANT people don't hang out with zeros - aka
losers.]
◍ Qualitative.
Answer: categorical; in groups; names or labels; pie charts or bar charts.
◍ variance.
Answer: A measure of spread within a distribution (the square of the
standard deviation).
◍ least squares or (OLS) ordinary least squares.
Answer: common estimation technique for linear regression.
, ◍ three factors that have an impact on statistical power.
Answer: sample size, effect size, type I error rate
◍ assumptions for independent t-test.
Answer: 1) sampling is random & independent2) distribution of sample
difference is normal 3) sampled population have equal variances
◍ data.
Answer: Values; qualitative or quantitative.
◍ standard deviation rule.
Answer: a standard proportion or percentage of data points that lie within
each standard deviation away from the mean for a normal distribution.
◍ moderate/weak relationships.
Answer: In the middle (+/- .50)
◍ vertical bars that show counts or numbers in each range.
Answer: histogram
◍ Mean.
Answer: average, add all values and divide by number of values
◍ C --> C.
Answer: two-way frequency; contingency
◍ chi-square test for independence.
Answer: a test to determine whether two classifications are independent
◍ Quantitative.
Answer: number; counted, measured
◍ Normal distribution.
Answer: symmetrical, mean median mode are equal
◍ Certain.
Answer: 100%
◍ Random sample.
Answer: Every member has equal chance of being selected
RESEARCH - HELPFUL TIPS CERTIFICATION
SCRIPT 2026 QUESTIONS WITH SOLUTIONS
GRADED A+
◍ C --> C; 2-way frequency table.
Answer: conditional percentages
◍ measures of the center.
Answer: mean, median, mode
◍ Two way ANOVA.
Answer: tests differnces based on two factors and their interaction
◍ smaller sample size.
Answer: outlier has a greater effect.
◍ List, tree, table.
Answer: used to determine sample space and sample size.
◍ law of large numbers.
Answer: as an experiment is repeated again and again, the empirical
probability will get closer and closer to the theoretical probability.
◍ all real numbers with a fixed value, prime, composite, odd, even, rational, or
irrational..
Answer: constants
◍ logic of hypothesis: Crit beats stat?.
Answer: FAIL to reject it.
◍ residual plot.
Answer: random scatter = good fitpattern/curve/funnel = bad model
,◍ right tailed t-stat critical test.
Answer: Reject if: t-stat > critical value (if t-stat is pointing to the right)
◍ five-number summary.
Answer: min, max, median, 1st quartile, 3rd quartile in a set of data.
◍ median.
Answer: resistant measure of center
◍ systematic sample.
Answer: select every n-th individual after choosing a random starting point.
◍ root of a number.
Answer: non-linear
◍ base.
Answer: number of outcomes
◍ Significance > P Value.
Answer: Reject the Null
◍ components in calculation of confidence interval.
Answer: sample statistic, critical value, standard error
◍ confidence interval rule.
Answer: no 0 in interval? → significant.0 in interval? → not
significant.[Popular SIGNIFICANT people don't hang out with zeros - aka
losers.]
◍ Qualitative.
Answer: categorical; in groups; names or labels; pie charts or bar charts.
◍ variance.
Answer: A measure of spread within a distribution (the square of the
standard deviation).
◍ least squares or (OLS) ordinary least squares.
Answer: common estimation technique for linear regression.
, ◍ three factors that have an impact on statistical power.
Answer: sample size, effect size, type I error rate
◍ assumptions for independent t-test.
Answer: 1) sampling is random & independent2) distribution of sample
difference is normal 3) sampled population have equal variances
◍ data.
Answer: Values; qualitative or quantitative.
◍ standard deviation rule.
Answer: a standard proportion or percentage of data points that lie within
each standard deviation away from the mean for a normal distribution.
◍ moderate/weak relationships.
Answer: In the middle (+/- .50)
◍ vertical bars that show counts or numbers in each range.
Answer: histogram
◍ Mean.
Answer: average, add all values and divide by number of values
◍ C --> C.
Answer: two-way frequency; contingency
◍ chi-square test for independence.
Answer: a test to determine whether two classifications are independent
◍ Quantitative.
Answer: number; counted, measured
◍ Normal distribution.
Answer: symmetrical, mean median mode are equal
◍ Certain.
Answer: 100%
◍ Random sample.
Answer: Every member has equal chance of being selected
