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Ok guys, I am covering up the first three chapters in Statistics1 out of 9 chapters. I am doing this because I think I am good at this and want to provide you guys for a quick revision notes from these 3 chapters! So that you can have plenty of time studying the rest 6 chapters (which are of more significance ofcourse!) and also so that you guys save some time to practise the past papers!! Go through what I’ve written and trust me you’ll not have to waste time studying the 3 chapters!! And guys! Do not forget to pray for me if you get any help from any of my words/lines!! Al da best to each one of you appearing for statistics 1 (62) this thurday!
STEM AND LEAF
1. Advantage: Provides visual impression; preserves raw data
2. Disadvantage: Not suitable for a huge data
3. Notes on drawings:
A) Don’t forget key.
B) Leaf contains only one digit
C) Stem can consist of any number of digits
D) Equal class intervals
E) Whole numbers only used
4. Ordered stem and leaf: One dat is always arranged in ascending order (usually this being the case!)
5. Back to back stem and leaf: Consists of two data (side by side); usually given for comparison
6. E.g. of a data: 1.347, 1.351, 1.353. (1) Why would there be no point in drawing a stem n leaf for this data rounded to 3 s.f.? Ans: Because there would only be one stem which would have all the leaves! (2) What information is given by the raw data that does not appear in a stem n leaf? Ans: The raw data indicates the order in which it was taken but the stem n leaf doesn’t!
QUALITATIVE, QUANTITATIVE, CONTINUOUS AND DISCRETE DATA
1. Qualitative: non-numerical
2. Quantitative: numerical
3. A quantitative variable which can take any value in a given range is continuous (decimal values!!) Examples: length, speed, mass, time, marks
4. A quantitative variable which can take integer values and has clear steps between its possible values is discrete. Examples: age, number
STEM AND LEAF
1. Advantage: Provides visual impression; preserves raw data
2. Disadvantage: Not suitable for a huge data
3. Notes on drawings:
A) Don’t forget key.
B) Leaf contains only one digit
C) Stem can consist of any number of digits
D) Equal class intervals
E) Whole numbers only used
4. Ordered stem and leaf: One dat is always arranged in ascending order (usually this being the case!)
5. Back to back stem and leaf: Consists of two data (side by side); usually given for comparison
6. E.g. of a data: 1.347, 1.351, 1.353. (1) Why would there be no point in drawing a stem n leaf for this data rounded to 3 s.f.? Ans: Because there would only be one stem which would have all the leaves! (2) What information is given by the raw data that does not appear in a stem n leaf? Ans: The raw data indicates the order in which it was taken but the stem n leaf doesn’t!
QUALITATIVE, QUANTITATIVE, CONTINUOUS AND DISCRETE DATA
1. Qualitative: non-numerical
2. Quantitative: numerical
3. A quantitative variable which can take any value in a given range is continuous (decimal values!!) Examples: length, speed, mass, time, marks
4. A quantitative variable which can take integer values and has clear steps between its possible values is discrete. Examples: age, number