A) To estimate the population mean. B) To prove a hypothesis with 100% certainty. C) To calculate standard deviation. D) To determine if there is enough evidence to reject a null hypothesis.
A) To analyze the results. B) To collect data from participants. C) To administer the treatment to participants. D) To provide a baseline for comparison to the treatment group.
A) Randomized Controlled Trial B) Observational Study C) Case-Control Study D) Cross-Sectional Study
A) To calculate probabilities. B) To determine central tendency. C) To explore the relationship between a dependent variable and one or more independent variables. D) To estimate population parameters.
A) The proportion of false negative results. B) The proportion of false positive results. C) The proportion of true negative results among all individuals without the condition. D) The proportion of true positive results among all individuals with the condition.
A) Simple Random Sampling B) Systematic Sampling C) Stratified Sampling D) Cluster Sampling
A) The strength of the relationship between variables. B) The confidence interval of the estimate. C) The sample size required for the study. D) The probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.
A) ANOVA B) Paired t-test C) Chi-Square Test D) Two-Sample t-test |