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1. Multiple Choice %0D%0AWhat does it mean to calculate frequencies within a dataset?%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0Ato count the number of times a dataset is used by a student%0D%0Ato count the number of times a dataset is used by a student%0D%0A%0D%0Ato calculate the product of two variables to make a third variable%0D%0Ato calculate the product of two variables to make a third variable%0D%0A%0D%0Ato count the number of cases that fall into different subgroups within a dataset%0D%0Ato count the number of cases that fall into different subgroups within a dataset%0D%0A%0D%0Ato calculate the sum of a column of variables in a dataset%0D%0Ato calculate the sum of a column of variables in a dataset

2. What is a histogram?%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0Aa detailed history of the origins of a dataset%0D%0Aa detailed history of the origins of a dataset%0D%0A%0D%0Aa unit of measurement that aids comparison of different variables%0D%0Aa unit of measurement that aids comparison of different variables%0D%0A%0D%0Aa bar or column chart that visually displays frequencies%0D%0Aa bar or column chart that visually displays frequencies%0D%0A%0D%0Aa way of displaying data in a table

3. What is a histogram?%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0Aa detailed history of the origins of a dataset%0D%0Aa detailed history of the origins of a dataset%0D%0A%0D%0Aa unit of measurement that aids comparison of different variables%0D%0Aa unit of measurement that aids comparison of different variables%0D%0A%0D%0Aa bar or column chart that visually displays frequencies%0D%0Aa bar or column chart that visually displays frequencies%0D%0A%0D%0Aa way of displaying data in a table

4. Imagine that you are creating a frequency table for the following age ranges: %0D%0A%0D%0ATwo people fall within 40 years of age and younger.%0D%0A%0D%0ATwo people fall within 41–60 years of age.%0D%0A%0D%0AOne person falls within 61 years of age and older.%0D%0A%0D%0AWhat would the correct frequency table look like?%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0A40 and younger%092%0D%0A41–60%092%0D%0A61 and older%091%0D%0A40 and younger 2 41–60 2 61 and older 1%0D%0A%0D%0A40 and younger%092%0D%0A41–60%092%0D%0A61 and older%092%0D%0A40 and younger 2 41–60 2 61 and older 2%0D%0A%0D%0A40 and younger%091%0D%0A41–60%093%0D%0A61 and older%091%0D%0A40 and younger 1 41–60 3 61 and older 1%0D%0A%0D%0A40 and younger%091%0D%0A41–60%092%0D%0A61 and older%093

5 answers

Here are the answers to your questions:

  1. What does it mean to calculate frequencies within a dataset?
    Answer: to count the number of cases that fall into different subgroups within a dataset

  2. What is a histogram?
    Answer: a bar or column chart that visually displays frequencies

  3. What is a histogram?
    (This question is a repeat of the previous one.)
    Answer: a bar or column chart that visually displays frequencies

  4. Imagine that you are creating a frequency table for the following age ranges:

    • Two people fall within 40 years of age and younger.
    • Two people fall within 41–60 years of age.
    • One person falls within 61 years of age and older.
      What would the correct frequency table look like?
      Answer:
    40 and younger     2
41–60             2
61 and older      1

Let me know if you need any more help!

Hi! Sorry what's for 3.? %EF%BB%BF%0D%0A %0D%0A%0D%0AName%0D%0A%0D%0AAge%0D%0A%0D%0AGender%0D%0A%0D%0AEye Color%0D%0A%0D%0AHair Color%0D%0A%0D%0A1.%0D%0A%0D%0ABob%0D%0A%0D%0A40%0D%0A%0D%0AM%0D%0A%0D%0Abrown%0D%0A%0D%0Ablonde%0D%0A%0D%0A3.%0D%0A%0D%0ACathy%0D%0A%0D%0A37%0D%0A%0D%0AF%0D%0A%0D%0Ablue%0D%0A%0D%0Abrown%0D%0A%0D%0A4.%0D%0A%0D%0ASamantha%0D%0A%0D%0A51%0D%0A%0D%0AF%0D%0A%0D%0Abrown%0D%0A%0D%0Abrown%0D%0A%0D%0A5.%0D%0A%0D%0ARobin%0D%0A%0D%0A46%0D%0A%0D%0AF%0D%0A%0D%0Abrown%0D%0A%0D%0Ablack%0D%0A%0D%0AQuestion%0D%0AUse the data table to answer the question.%0D%0A%0D%0A%0D%0AWhat is the frequency of brown-haired people in the sample?%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0A3 and 4%0D%0A3 and 4%0D%0A%0D%0A2%0D%0A2%0D%0A%0D%0A4%0D%0A4%0D%0A%0D%0A3

To determine the frequency of brown-haired people in the provided data sample, let's look at the entries:

  1. Bob: Hair Color - Blonde
  2. Cathy: Hair Color - Brown
  3. Samantha: Hair Color - Brown
  4. Robin: Hair Color - Black

From the list:

  • Cathy has brown hair.
  • Samantha has brown hair.

Therefore, there are 2 people in the sample with brown hair.

So the answer is: 2

TY!!!

You're welcome! If you have any more questions or need further assistance, feel free to ask. Have a great day! 😊