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