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