MATH 110 MODULE 1 EXAM (LATEST-2025) / MATH110
INTRODUCTION TO STATISTICS: PORTAGE LEARNING
1. Data:
g g ANS>> g"Things" gabout ginformation gthat gcan gbe gcollected gand ganalyzed,
gsuch gas gpeople, gnumerical ginfo, ggeographical gareas gect.
2. Data gSet:
g g g g g g gANS>> g gArranged gcollection gof ginformation gthat gcontains gthe gvarious
gcategories gof gdata gcollected gfor ga gspecific gstudy.
3. Statistics:
g g g gANS>> g gThe gscience gof gdata. gIt ginvolves gcollecting, gclassifying,
gsummarizing, gorganizing, ganalyzing, gand ginterpreting ginformation.
4. Element gof ga gdata gset: g
g g g gANS>> gThe gindividual g& gunique gentry gin ga gdata gset gabout gwhich gdata ghas
gbeen gcollected, ganalyzed, gand gpresented gin gthe gsame gmanner.
5. Variable:
g g g g g g gANS>> g gA gparticular, gmeasurable gattribute gthat gthe gresearcher gbelieves gis
gneed- ged gto gdescribe gthe gelement gin gtheir gstudy.
6. Observation:
g g g g g ANS>> g gAll gthe ginformation gcollected gfor geach gelement gin ga gstudy.
7. Qualitative gData: g
g g gANS>> g gDescribes gsomething gabout gthe gelement. gData gthat gcannot gbe
gmeasured gon ga gnumerical gscale g- gthey gcan gonly gbe gclassified ginto gone gof ga
ggroup gof gcategories.
8. Quantitative gData:
g g g g g g g gANS>> g gData gthat ganswers gthe gquestion gof ghow gmuch gor ghow gmany, gis
galways gnumerical.
9. Key gDifference gbetween gQuantitative g& gQualitative gData:
g g g g g g g gANS>> g gIs gthat gmathematical goperations gonly gmake gsense gwhen
gperformed gon gquantitative gdata.
INTRODUCTION TO STATISTICS: PORTAGE LEARNING
1. Data:
g g ANS>> g"Things" gabout ginformation gthat gcan gbe gcollected gand ganalyzed,
gsuch gas gpeople, gnumerical ginfo, ggeographical gareas gect.
2. Data gSet:
g g g g g g gANS>> g gArranged gcollection gof ginformation gthat gcontains gthe gvarious
gcategories gof gdata gcollected gfor ga gspecific gstudy.
3. Statistics:
g g g gANS>> g gThe gscience gof gdata. gIt ginvolves gcollecting, gclassifying,
gsummarizing, gorganizing, ganalyzing, gand ginterpreting ginformation.
4. Element gof ga gdata gset: g
g g g gANS>> gThe gindividual g& gunique gentry gin ga gdata gset gabout gwhich gdata ghas
gbeen gcollected, ganalyzed, gand gpresented gin gthe gsame gmanner.
5. Variable:
g g g g g g gANS>> g gA gparticular, gmeasurable gattribute gthat gthe gresearcher gbelieves gis
gneed- ged gto gdescribe gthe gelement gin gtheir gstudy.
6. Observation:
g g g g g ANS>> g gAll gthe ginformation gcollected gfor geach gelement gin ga gstudy.
7. Qualitative gData: g
g g gANS>> g gDescribes gsomething gabout gthe gelement. gData gthat gcannot gbe
gmeasured gon ga gnumerical gscale g- gthey gcan gonly gbe gclassified ginto gone gof ga
ggroup gof gcategories.
8. Quantitative gData:
g g g g g g g gANS>> g gData gthat ganswers gthe gquestion gof ghow gmuch gor ghow gmany, gis
galways gnumerical.
9. Key gDifference gbetween gQuantitative g& gQualitative gData:
g g g g g g g gANS>> g gIs gthat gmathematical goperations gonly gmake gsense gwhen
gperformed gon gquantitative gdata.
