reviewer

• mathematics- is a crucial subject that is used in various industries to solve complex problems make informed decisions, and develop innovative solutions. Its relevance in different industries cannot be overstated, and its continued study and application will undoubtedly lead to further advancements and breakthroughs in the future.
• statistics- branch of mathematics that involves analysis, interpretation, presentation and organization data.

  It also used to make informed decisions and draw conclusions about population or phenomena
• Descriptive- describes and summarizes data using measures such as mean, median, mode, and range
• Inferential- Makes predictions or inferences about a population based on a sample data, using techniques like hypothesis testing and confidence interval.
• Data- (variable) information of facts that are collected, observed, or measured in a particular study or analysis.
• Graph- powerful tools that allow us to visualize and interpret complex data in a clear and concise way. They are visual representation of numerical information that can reveal trends, patterns, and relationships between different variables.
• Statistical graph- defined as the pictorial representation of statistical data in graphical form. used to represent a set of data to make it easier to understand and interpret statistical information.
• Different types of graphs- bar graph, line graph, pie graph
• Bar- height of the bar depends upon

  frequency of the data given and the width must be one

  the same size. The bars have distinct category so there

  are gaps between bars.
• Bar graph- (usage)Used to compare between given data.
• line graph- Points are connected by a line.
• line graph- (usage)Used to show the rising and falling of trends

  over a period of time.
• pie graph- divided by sector/slice.
• pie graph- (usage)Used to show the relation of a part to whole
• Measures of central tendency- It is a measure that

  represents the center of

  a data set.
• Measures of central tendency- Also called as measures of central

  location, it represent the typical

  value of a given dataset. Examples

  of these measure include mean,

  median and mode.
• mean- is the sum of the data divided by the

  number of data values.

  • It is the most popular measure of central

  tendency.
• Median- is the midpoint of the data array.
• Mode- The mode is the value that occurs most often in the

  data set. The number/value/observation in a data set which

  appears the most number of times.
• Frequency Distribution Table- A table that summarizes all

  the data into categories

  and their frequency. Collection of observations

  produced by sorting them

  into classes and showing

  their frequency of

  occurrences.
• Vertical bar graph- The most common type,

  with bars standing upright along the vertical axis.
• Horizontal Bar Graphs- Similar to vertical bars,

  but laid sideways along the horizontal axis.
• Stacked Bar Graph- Layer multiple bars on top

  of each other for each category.
• Grouped Bar Graphs- Place bars for each

  category side-by-side, enabling comparisons

  between different groups.
• Simple Line Graph- A single line represents the

  change in one variable over time.
• Multiple Line Graphs- Compare trends of two or

  more variables by overlaying their lines on the

  same graph.
• Stacked Line Graphs- Visualize the contribution

  of different components to a whole by stacking

  multiple lines on top of each other.
• Simple Pie Chart- A single circle divided into

  slices representing different categories.
• Exploded Pie Chart- One or more slices pulled

  out from the circle for emphasis (use with

  caution due to potential misrepresentation).
• Radar Chart- A graph that uses multiple axes

  radiating from a center to represent different

  quantitative variables for a single data point.
• Waterfall Chart- A graph that breaks down a total value

  into its contributing components, both positive and

  negative.
• Heatmap- A graph that uses color intensity to represent

  the magnitude of a value across a two-dimensional

  space.
• Sankey Diagram- A graph that

  shows flows between different

  categories or stages of a

  process.
• Network Graph- A graph that

  represents connections and

  relationships between nodes (e.g.,

  people, websites) as dots or circles

  connected by lines.
• Boxplot- A graph that

  summarizes the key

  statistics of a data set

  (median, quartiles,

  outliers) in a compact

  way.
• Histogram- A graph that visualizes the

  distribution of a single continuous

  variable by dividing the range of values

  into intervals and counting how many

  data points fall into each interval.
• Scatter Plots- These reveal

  relationships between two

  numerical variables by plotting

  each data point as a dot on a

  coordinate plane. They show if the

  variables are related and in what

  way (e.g., positive correlation,

  negative correlation, no

  correlation).