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Vesnalui [34]
3 years ago
5

Fifty people were asked to respond to a survey question regarding how frequently they used their credit card. The categories the

y were asked to choose from are given below: 1) Infrequently 2) Sometimes 3) Frequently. qualitative neither
Business
1 answer:
elixir [45]3 years ago
6 0

Complete Question: Classify the following data. Indicate whether the data is quantitative or quantitative, Gender is an example of which type of data here, discrete, continuous, or neither and indicate the level of measurement for the data. Fifty people were asked to respond to a survey question regarding how frequently they used their credit card. The categories they were asked to choose from are given below: Infrequently Sometimes Frequently. 1). Are these data quantitative or quantitative? 2).  Are these data discrete or continuous or Neither ?3). What is the highest level of measurement the data possesses? Nominal, Ordinal, Interval, or Ratio

Answer:  is the data is<em> </em><u><em>Qualitative</em></u>, the data is <u><em>neither</em></u><em> </em>(data not shown) discrete nor continuous, and finally the the level of measurement of data is <u><em>ordinal</em></u>. Lastly

1). What is Quantitative and Qualitative data: <u>Quantitative data</u> includes large groups of people usually in hundreds or thousands, collecting data by structured questionnaire technique that consists of forced choice and closed ended questions. While on the other hand, <u>Qualitative data</u> includes small group and conduct the research in the form of in-person or focus groups, phone interviews and detailed surveys. Qualitative technique is more precise and in depth kind of technique.

2). The option is neither, which means gender (male or female) is not specified. Insufficient information is given of the people's gender.

  • Continuous data ( data that can be divided and reduced to more precise level <u>for example</u> <em>measurements</em>)
  • Discrete data ( this form of data includes integers, which means the count cannot be made more accurate <u>for example</u> <em>counts</em>)

3). Level of measurement of data: There are four types of data levels of measurements namely;

  • Nominal
  • Ordinal
  • Interval
  • Ratio

Ordinal level of measurement: In an ordinal level of measurement, data is specified in order form which means the ordinal level of measurement shows an ordering of the measurements. <u>For example</u>, In a class of 20 students, the student who got the highest marks in the exam stood 1st rank in the class then the student who got second highest marks stood 2nd rank in the class and so on. The students got their ranks order wise according to the marks they obtained.

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