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Mathematics 7 Online
OpenStudy (anonymous):

Need Help!! Confused!!state two examples of your own that are examples of each of the four types of variables( qualitative/ordinal, quantitative/ continuous)

OpenStudy (amistre64):

what are your definitions for those types?

OpenStudy (anonymous):

what do you mean?

OpenStudy (amistre64):

i mean, what are the definitions that your material uses to define the types of variables that you listed

OpenStudy (anonymous):

and i missed two qualitative/norminal and quantitative/ discrete

OpenStudy (anonymous):

i still don't understand I'm sorry I've missed a week of school and trying to get caught up on make up work

OpenStudy (amistre64):

you have 4 type of variables mentioned. you need to come up with an example of each type of variable, but in order to do that, you must first know the definition for each type. Your material should give you some definitions, and then we can work thru the problem

OpenStudy (anonymous):

give me a sec ill look in my book

OpenStudy (campbell_st):

qualitative is something eye colour, where the most frequent is the measure of the centre. ordinal is qualitative data that can be placed in order e.g. names on a ballot paper. quantitative is data that is measured or counted. E.g. Number of students at school. continuous is quantitative data that is measured... a person's height... hope it helps

OpenStudy (anonymous):

so how would i give examples of that

OpenStudy (anonymous):

Discrete Data: Observation that can take on values that are distinct and separate. For example, the number of people in a household.

OpenStudy (campbell_st):

discrete data is quantitative data that is counted... students at school...

OpenStudy (anonymous):

Nominal Data: if there is no natural order between the categories. For exanple, a person's eye color.

OpenStudy (amistre64):

i was thinking eggs laid by a chicken versus weight of the chicken :)

OpenStudy (anonymous):

Ordinal Data: Values that can be placed in in order or rated. For example, exam results, or socio-economic status.

OpenStudy (campbell_st):

thats correct for nomial.... you nominate a category for it to be recorded in....

OpenStudy (anonymous):

Continuous Data: Observations that can take on a value within an interval. For example, the weight of a bath towel or the number of inches a tree grew in one season.

OpenStudy (campbell_st):

providing the grades are A to E of something scale that is similar... if they are percentages... it's quantitative data

OpenStudy (anonymous):

these are the definitions in my book can you help get two exapmles of each

OpenStudy (campbell_st):

I'm Australian, The Australian Bureau of Statistics provides a great explanantion http://www.abs.gov.au/websitedbs/CaSHome.nsf/Home/CaSQ+3C+CATEGORICAL+DATA:+WHAT'S+THE+DIFFERENCE+BETWEEN+NOMINAL+AND+ORDINAL

OpenStudy (anonymous):

so would an example of normial be hair color

OpenStudy (campbell_st):

hair colour, type of pet, eye colour, car colour, favourite music type... etc

OpenStudy (anonymous):

so would how many inches a kid during a growth spurt be an example of continuous

OpenStudy (campbell_st):

that's correct... the reason it's continuous is that you never get an accurate measurement. It is always dependent on the units of measurement...smaller the units the greater the accuracy.

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