Data Visualization and Statistical Analysis Quiz

Line chart is ideal for displaying trends over time due to its ability to connect data points.

CSV stands for Comma-Separated Values, a file format used to store tabular data.

NumPy is not a data visualization tool but a library for numerical computing in Python.

A histogram visually represents the distribution of a single continuous variable by binning data into intervals.

Heat maps use color intensity to represent data values, making it easier to identify patterns or trends.

T-test is used to assess whether the means of two independent groups are significantly different from each other.

Mean is the statistical measure that calculates the average value of a dataset.

The 'box' in a box plot represents the interquartile range, encompassing the first and third quartiles of the data.

ANOVA is used to determine whether there are statistically significant differences between the means of multiple groups.

Residual plots are used to assess the goodness-of-fit in regression analysis by identifying outliers and influential data points.

Correlation coefficient measures the strength and direction of the linear relationship between two variables.

IQR, or Interquartile Range, is the range between the first and third quartiles of a dataset.

P-value indicates the probability of obtaining the observed result, or more extreme, under the null hypothesis.

Density plot is ideal for visualizing the distribution of a single continuous variable along with its probability density function.

A scatter plot is used to display the relationship between two variables, showing how one variable changes in relation to another.

Student's t-test is a parametric statistical test used to compare the means of two groups.

Pie chart is commonly used to represent the distribution of categorical data by dividing a circle into slices proportional to the data values.