Identifying & Explaining Patterns in Scientific Data

Instructions:

Choose an answer and hit 'next'. You will receive your score and answers at the end.

Use the provided material to answer the next question
Use the provided material for the next question 
You wanted to know if your income was higher than the median income of everyone in your town. You know that your income is $45 though. You gather the following data for the median income of everyone i…

You wanted to know if your income was higher than the median income of everyone in your town. You know that your income is $45 though. You gather the following data for the median income of everyone in your town in thousands of dollars:

55, 72, 5, 12, 65, 45, 40, 35, 33, 55, 67, 81, 92, 675, 23, 49, 42, 51, 56, and 73.

question 1 of 3

Are there any outliers in this data, if so what are they?

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1. What is the median income in your town?

Use the provided material to answer questions 2-4.

You wanted to know if there was a correlation between age and income so you gathered the following data:

Data

2. How would be the best way to analyze this data?

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About This Quiz & Worksheet

To be successful on these assessments, you have to be skilled at analyzing data. You must also be knowledgeable of the best way to represent given data.

Quiz & Worksheet Goals

Knowledge assessed includes:

  • Data representation
  • Identification of outliers in a given chart
  • Appropriate data depiction

Skills Practiced

  • Information recall - access the knowledge you've gained regarding the strength of a correlation on a chart
  • Knowledge application - use your knowledge to interpret median income data on a given chart
  • Reading comprehension - ensure that you draw the most important information from the lesson on scientific data

Additional Learning

Increase your knowledge of data interpretation by completing the lesson titled Identifying & Explaining Patterns in Scientific Data. The lesson covers:

  • The function of a stem and leaf plot
  • What the term outlier means
  • Correlation and scatter plots
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