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