Match the following statistical applications to their corresponding types: Creating a bar graph to show the distribution of ages in a population | Inferential Statistics Testing th... Match the following statistical applications to their corresponding types: Creating a bar graph to show the distribution of ages in a population | Inferential Statistics Testing the effectiveness of a new fertilizer on crop yield | Descriptive Statistics Calculating the median income of a city | Descriptive Statistics Conducting a survey to estimate the percentage of voters who support a candidate | Inferential Statistics
Understand the Problem
The question is asking to match various statistical applications with their appropriate types, specifically distinguishing between descriptive and inferential statistics. This involves understanding the purpose of each statistical application and categorizing them based on whether they summarize data or make predictions/inferences about a population.
Answer
Bar graph: Descriptive, Fertilizer test: Inferential, Median income: Descriptive, Voter survey: Inferential.
Creating a bar graph to show the distribution of ages in a population is Descriptive Statistics. Testing the effectiveness of a new fertilizer on crop yield is Inferential Statistics. Calculating the median income of a city is Descriptive Statistics. Conducting a survey to estimate the percentage of voters who support a candidate is Inferential Statistics.
Answer for screen readers
Creating a bar graph to show the distribution of ages in a population is Descriptive Statistics. Testing the effectiveness of a new fertilizer on crop yield is Inferential Statistics. Calculating the median income of a city is Descriptive Statistics. Conducting a survey to estimate the percentage of voters who support a candidate is Inferential Statistics.
More Information
Descriptive statistics describe or summarize data, like a bar graph or the median. Inferential statistics use data to make predictions or test hypotheses, like testing fertilizer effectiveness or estimating voter support.
Tips
Confusing descriptive and inferential statistics: remember that descriptive is about describing data, while inferential is about making predictions or tests based on data.
Sources
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