1.4.9 Data Handling

Cards (147)

  • Qualitative data is numerical.
    False
  • The mean is calculated by dividing the sum of values by the number of values.
    True
  • What are measures of central tendency used for?
    Typical value
  • Which measure of central tendency identifies the most common value?
    Mode
  • Quantitative data includes measurements, counts, and scores
  • What do descriptive statistics summarize about a dataset?
    Main features
  • The median is always affected by outliers in the dataset.
    False
  • The mean is the most robust measure of central tendency for skewed data.
    False
  • Steps to calculate the median for a dataset
    1️⃣ Arrange the data in ascending order
    2️⃣ Identify the middle value
    3️⃣ If there is an even number of values, calculate the average of the two middle values
  • Match the measure of dispersion with its description:
    Range ↔️ Highest value - Lowest value
    Standard Deviation ↔️ Average deviation from the mean
  • What type of data is typically displayed using a histogram?
    Quantitative data
  • Bar charts use rectangular bars of varying heights to show the frequency or value of different categories.
    True
  • Bar charts show the frequency or value of categories using rectangular bars of varying heights
  • Order the patterns to identify in charts and tables:
    1️⃣ Trends
    2️⃣ Relationships
    3️⃣ Distributions
    4️⃣ Comparisons
  • What does the height of each bar in a histogram represent?
    Value frequency
  • The mean is calculated by dividing the sum of values by the number of values
  • The median is robust to extreme values, making it suitable for skewed data.
  • The median is best used for data that is skewed or contains outliers
  • How is the mean calculated in descriptive statistics?
    Sum of values divided by total number of values
  • The mean is best used for symmetric, normally distributed data and is sensitive to outliers.
    True
  • The median is robust to outliers because it focuses on the middle value
  • Why is standard deviation a more robust measure of dispersion than range?
    It considers all data points
  • What is the key advantage of standard deviation over range?
    Robust to outliers
  • Histograms are used to display categorical data, while bar charts display quantitative data.
    False
  • Charts and tables help visualize and understand data in psychological research.
  • Histograms are useful for visualizing the overall distribution and spread of quantitative
  • Quantitative data is numerical information, such as measurements, counts, and scores
  • Quantitative data is measurable and provides breadth
  • The most frequently occurring value in a dataset is called the mode
  • Match the measure with its calculation:
    Mean ↔️ Sum of values / Number of values
    Median ↔️ Middle value
    Mode ↔️ Most frequent value
    Range ↔️ Highest value - Lowest value
  • The median is robust to extreme values, making it ideal for skewed data.
  • What is the term for non-numerical information in data analysis?
    Qualitative data
  • Qualitative data is numerical, while quantitative data is non-numerical.
    False
  • Match the descriptive statistic with its calculation:
    Mean ↔️ Sum of values / Number of values
    Median ↔️ Middle value
    Mode ↔️ Most frequent value
    Range ↔️ Highest value - Lowest value
  • The median for an even number of values is the average of the two middle values
  • The mean is best suited for data that is symmetric and normally distributed
  • What does the standard deviation measure in a dataset?
    Average deviation from the mean
  • Histograms are used to visualize the distribution of categorical data.
    False
  • Histograms are used to display the distribution of quantitative
  • Match the type of chart with its purpose:
    Bar Charts ↔️ Display categorical data
    Histograms ↔️ Show distribution of values