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Veseljchak [2.6K]
3 years ago
10

Read each example of data below and identify whether it is qualitative or quantitative. 28.5 cm tall rough-textured the bird bob

bed its head up and down.
Mathematics
2 answers:
photoshop1234 [79]3 years ago
6 0
A general rule of thumb is that if numbers are involved it's quantitative and if characteristics are involved its qualitative, so in this case it'd be quantitative.
nordsb [41]3 years ago
4 0

Answer:

  1. 28.5 cm tall: qQuantitative data.
  2. Rough-textured: Qualitative data.

Step-by-step explanation:

<u>Quantitative data include measure of value that are expressed in numbers.</u> For example, 365 days in a year, 24 hours in a day, 7 continents of the world etc.  

<u>Qualitative data is non-numerical data. </u>This includes characteristics (color, texture and taste), symbols and description. Its subjective and cannot be measured.  

The statement in the question has both qualitative and quantitative data.  

  1. 28.5 cm tall: This is a quantitative data. It is expressed in form of numbers.
  2. Rough-textured: This is qualitative. It defines one of the characteristics of the bird.

An easy way to differentiate between the two is to find whether the data is expressed in numbers. If numerical are involved e.g. mass of 78 pounds, 250 ml of water, force of 10N etc., then the data is quantitative. If it can’t be counted or measured, then its qualitative.  

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3.The following are real data from Santa Clara County, CA. As of a
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  • I) the probability that the person is female is 8.33%.
  • II) the probability that the person has a risk factor heterosexual contact is 6.40%.
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Given the data mentioned in the table, the following calculations must be performed to obtain the requested probabilities:

I.-

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Therefore, I) the probability that the person is female is 8.33%, II) the probability that the person has a risk factor heterosexual contact is 6.40%, III) the probability that the person is female or has a risk factor of IV drug user is 23.47%, IV) the probability that the person is female and has a risk factor of homosexual is 0%, V) the probability that the person is male and has a risk factor of IV drug user is 15.13%, and VI) the probability that the person is female given that the person got the disease from heterosexual contact is 69.38%.

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