5. V ARIABLES CAN BE : Q UALITATIVE ( DESCRIBED WITH WORDS OR CATEGORIES I. E. QUALITIES ) N OMINAL ( CAN BE NAMED AND COUNTED, BUT CANNOT BE PUT INTO ORDER ) O RDINAL ( CAN BE NAMED AND ALSO PUT INTO ORDER ) Q UANTITATIVE ( NUMERIC, OR IS MEASURED USING NUMBERS I. E. QUANTITIES ) D ISCRETE ( NUMBERS THAT ARE DISTINCT, WHOLE NUMBERS ) C ONTINUOUS ( NUMBERS THAT CAN BE MEASURED AS DECIMALS OR FRACTIONS ON A CONTINUOUS SCALE, NOT JUST WHOLE NUMBERS ) Variables Qualitative Nominal Ordinal Quantitative Discrete Continuous

7. A S WE NOW KNOW, B IVARIATE DATA CONSISTS OF TWO VARIABLES. O NE VARIABLE IS GENERALLY THE DEPENDENT VARIABLE, AND THE OTHER THE INDEPENDENT VARIABLE. T HE DEPENDENT VARIABLE DEPENDS ON THE OTHER VARIABLE. T HE INDEPENDENT VARIABLE DOES NOT DEPEND ON THE OTHER VARIABLE. W HEN DATA ARE EXPRESSED IN THE FORM OF A TABLE, GENERALLY THE INDEPENDENT VARIABLE IS WRITTEN IN THE FIRST ROW OR THE FIRST COLUMN. W HEN WE GRAPH BIVARIATE DATA, THE INDEPENDENT VARIABLE IS PLACED ON THE X - AXIS AND THE DEPENDENT VARIABLE ON THE Y - AXIS. The antenna is the INDEPENDENT variable. They can change or vary without relying on the tv The tv picture is the DEPENDENT variable. The picture depends on the antenna In this diagram, which is the IV and which is the DV out of the tv screen and the antenna?

8. A GE AND HEIGHT OF A CHILD A GE IS INDEPENDENT, HEIGHT IS DEPENDENT ( WHEN JUST LOOKING AT THESE TWO VARIABLE, HEIGHT DEPENDS ON AGE ) C OST OF BUS FARE AND DISTANCE TRAVELLED IN THE BUS C OST IS DEPENDENT, DISTANCE IS INDEPENDENT ( COST DEPENDS ON DISTANCE COVERED ) N UMBER OF PEOPLE AT A FOOTBALL MATCH AND THE NUMBER OF DRINKS SOLD THERE N UMBER OF PEOPLE IS INDEPENDENT, NUMBER OF DRINKS SOLD IS DEPENDENT ( AS IT DEPENDS ON NUMBERS OF PEOPLE THERE )

9. T HE OPTIONS WE HAVE WHEN CONSIDERING TWO VARIABLES ARE AS FOLLOWS : T HERE IS A RELATIONSHIP BETWEEN THEM ( THERE SEEMS TO BE A PATTERN BETWEEN THEM ) T HERE IS NO RELATIONSHIP BETWEEN THEM ( THEY DO NOT IMPACT ON OR RELATE TO EACH OTHER AT ALL, THE DATA SEEMS RANDOM ) I F THERE IS A RELATIONSHIP, IT CAN BE CLASSIFIED AS BEING STRONG, MODERATE OR WEAK. S TRONG – THEY RELATE CLOSELY TO ONE ANOTHER W EAK – THERE IS A SMALL RELATIONSHIP BETWEEN THEM T HE RELATIONSHIP CAN ALSO BE REGARDED AS POSITIVE OR NEGATIVE. I F ONE VARIABLE INCREASES AS THE OTHER INCREASES, THE RELATIONSHIP IS POSITIVE. I F ONE VARIABLE INCREASES AS THE OTHER DECREASES, THE RELATIONSHIP IS NEGATIVE. T HE RELATIONSHIP BETWEEN VARIABLES IS ALSO KNOWN AS CORRELATION

10. A PERSON ’ S HEIGHT ( H ) AND WEIGHT ( W ) Y ES, THERE IS A RELATIONSHIP I T IS A POSITIVE RELATIONSHIP ( GENERALLY AS HEIGHT INCREASES, SO DOES WEIGHT ) I T IS A FAIRLY STRONG RELATIONSHIP, BUT NOT PERFECT T HE LENGTH OF A SONG ( L ) AND ITS POSITION ON A CD ( P ) N O RELATIONSHIP – LENGTH OF SONG HAS NOTHING TO DO WITH WHAT NUMBER SONG IT IS ON A CD T HE SPEED OF TRAVEL ( S ) AND THE TIME TAKEN TO REACH A DESTINATION ( T ). Y ES, THERE IS A RELATIONSHIP I S IT A NEGATIVE RELATIONSHIP ( AS SPEED INCREASES, TIME TAKEN DECREASES ) I T IS A STRONG RELATIONSHIP