1.1 Introducing Statistics: What Can We Learn from Data?

• Statistics is the science of collecting, analyzing, interpreting, and presenting data
• Match the tool with its corresponding type of statistics:

  Histograms ↔️ Descriptive Statistics

  Confidence Intervals ↔️ Inferential Statistics
• What does data distribution describe?

  Arrangement of data values
• What is the purpose of statistical analysis in decision-making?

  Extract meaningful information
• What is the primary measure of data variability?

  Standard deviation
• Ethical considerations in statistics include ensuring data integrity and protecting individual privacy.


  True
• Statistics is the science of collecting, analyzing, interpreting, and presenting data
• Steps in statistical analysis goals

  1️⃣ Collect data

  2️⃣ Analyze data

  3️⃣ Interpret data

  4️⃣ Present data
• The four steps of using data to make informed decisions are collect, analyze, interpret, and present.


  True
• Descriptive statistics generalize findings from a sample to the entire population.

  False
• Steps in statistical analysis

  1️⃣ Collect data

  2️⃣ Analyze data

  3️⃣ Interpret data

  4️⃣ Present data
• Match the concept with its definition:

  Data Variability ↔️ Spread of data points

  Data Distribution ↔️ Arrangement of data values
• Descriptive statistics summarize data using measures like mean, standard deviation, and histograms
• What type of distributions can data distributions be?

  Normal, skewed, uniform
• What is the purpose of sample data in statistics?

  Make inferences about population
• What is the primary purpose of descriptive statistics?

  Summarize sample data
• What does data variability measure?

  Spread of data points
• What is data integrity in ethical statistics?

  Ensuring data is accurate
• What is the science of statistics primarily concerned with?

  Collecting, analyzing, interpreting, and presenting data
• What is the purpose of inferential statistics?

  Generalize findings to the population
• Data variability is measured using standard deviation or variance.

  True
• Statistics is the science of collecting, analyzing, interpreting, and presenting data
• Inferential statistics generalize sample findings to the larger population.


  True
• Data can be used to make informed decisions by providing insights
• A sample is always larger than the population.

  False
• Inferential statistics aims to draw conclusions about a larger population based on a sample.


  True
• Data distribution describes how data values are arranged and how frequently each value occurs