a. Measures of Central Tendency

• What is the purpose of descriptive statistics in data analysis?

  Summarize and describe data
• The mean is calculated by summing all values and dividing by the number of values
• The median is the middle value in a dataset when ordered from least to greatest.
• What is the mode in a dataset?

  Most frequently occurring value
• The mean can be significantly affected by outliers
• Steps to calculate the median for an odd number of values

  1️⃣ Order the data from least to greatest

  2️⃣ Identify the middle value
• Match the measure with its description:

  Mean ↔️ Average of all values

  Median ↔️ Middle value in ordered data

  Mode ↔️ Most frequently occurring value
• Measures of central tendency identify a central value around which data tends to cluster.
• How is the mean calculated in descriptive statistics?

  Sum values and divide by count
• The median is the single middle value when there is an odd number of values
• What is the mode for the dataset $2, 3, 3, 4, 5$?


  $3$
• The formula for the mean is $Mean =$$\frac{\sum x}{n}$.
• How is the median calculated when there is an even number of values?

  Average the two middle values
• The mean provides a stable central value but is affected by outliers
• The median is not affected by outliers in a dataset.
• What is the mode for the dataset $2, 3, 3, 4, 5$?


  $3$
• The mean is calculated by summing all values and dividing by the number of values
• The mean, median, and mode are all measures of central tendency.
• What do descriptive statistics summarize and describe about a dataset?

  Main features and insights
• Descriptive statistics use statistical methods to summarize and describe datasets
• Match the measure with its description:

  Mean ↔️ Average of all values

  Median ↔️ Middle value in ordered data

  Mode ↔️ Most frequently occurring value
• What is one key point about descriptive statistics?

  Summarize dataset features
• The mean, median, and mode are all measures of central tendency.
• Descriptive statistics summarize and describe the main features of a dataset
• Mean, median, and mode are key measures in descriptive statistics.
• The mean is calculated using the formula $Mean =$$\frac{\sum x}{n}$, where $\sum x$ is the sum of all values
• The mode is the value that appears most frequently
• The mean is sensitive to outliers
• To find the median, you must first arrange the data from least to greatest.
• The mode is useful for identifying the most common number
• Match each measure with its definition:

  Mean ↔️ Average of all values

  Median ↔️ Middle value in sorted data

  Mode ↔️ Most frequent value
• The mean is calculated using the formula $Mean =$$\frac{\sum x}{n}$, where n is the number of values
• If there are an even number of values, the median is the average of the two middle values.
• The mode is the value that appears most frequently
• The mean is the average of all values in a dataset, calculated by summing all values and dividing by the number of values
• To find the median, you must first arrange the data from least to greatest.
• If there are an even number of values, the median is the average of the two middle numbers
• The mean is sensitive to outliers
• Match the measure with its definition:

  Mean ↔️ Average of all values

  Median ↔️ Middle value

  Mode ↔️ Most frequent value
• The median is affected by outliers.

  False