A) To calculate the probability of an event. B) To visualize data using graphs. C) To determine if there is enough evidence to reject a null hypothesis. D) To summarize data using summary statistics.
A) A type of statistical hypothesis testing. B) States that the sampling distribution of the sample means approaches a normal distribution as the sample size increases. C) Describes the spread of data points in a dataset. D) A method for outlier detection in data.
A) A type of data transformation. B) When the null hypothesis is not rejected, but it is false. C) A calculation error in statistical analysis. D) When the null hypothesis is rejected, but it is actually true.
A) A statistical measure of association. B) When the null hypothesis is rejected, and it is true. C) When the null hypothesis is not rejected, but it is actually false. D) A type of sampling technique.
A) A type of data visualization technique. B) A measure of the strength and direction of a linear relationship between two variables. C) The probability of an event occurring. D) The difference between the maximum and minimum values in a dataset.
A) To determine the mode of a distribution. B) To analyze the relationship between a dependent variable and one or more independent variables. C) To summarize data using descriptive statistics. D) To calculate the median value of a dataset.
A) The range of values in a dataset. B) The average of the squared differences from the mean. C) The middle value in a set of ordered data points. D) The sum of all data values divided by the number of values.
A) Standard Deviation B) Mean C) Correlation Coefficient D) Variance
A) The average of all values in the dataset. B) The middle value in a sorted dataset. C) The value that appears most frequently in the dataset. D) The difference between the maximum and minimum values.
A) The average of all values in the dataset. B) The sum of all values in the dataset. C) The difference between the maximum and minimum values in the dataset. D) The number of values in the dataset.
A) 50% B) 95% C) 99.7% D) 68%
A) The average of all values in the dataset. B) The middle value in a sorted dataset. C) The maximum value in the dataset. D) A measure of the dispersion of data points around the mean.
A) The spread of data points from the mean. B) The presence of outliers in the dataset. C) The degree of asymmetry in the distribution of data. D) The relationship between two variables.
A) A conclusion drawn from statistical analysis. B) A statement that there is no significant difference or relationship between variables. C) A statement that a significant difference exists between variables. D) A measure of the strength of a relationship.
A) To analyze the relationship between a dependent and an independent variable. B) To determine if there is a significant association between two categorical variables. C) To calculate the correlation coefficient. D) To find the median value of a dataset.
A) A sampling technique where each member of the population has a known and non-zero chance of being selected into the sample. B) A non-statistical method of gathering data. C) A sampling technique that relies on random selection of individuals. D) A sampling technique that selects individuals based on convenience.
A) To visualize the distribution of a dataset and identify outliers. B) To calculate confidence intervals. C) To calculate the average value of a dataset. D) To test for correlations between variables.
A) The range of values in a dataset. B) The variance of a dataset. C) The average of all data points in a dataset. D) A value below which a given percentage of observations in a group falls.
A) The probability of rejecting a false null hypothesis. B) The strength of the relationship between variables. C) The significance level for hypothesis testing. D) The confidence interval for a parameter estimate.
A) Chi-square test B) Regression analysis C) T-test D) ANOVA
A) T-test B) Regression analysis C) Mann-Whitney U test D) ANOVA
A) Median B) Variance C) Mode D) Mean
A) ANOVA B) Regression analysis C) Chi-square test D) t-test
A) Binomial B) Exponential C) Poisson D) Normal
A) Sampling bias B) Selection bias C) Measurement bias D) Response bias |