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وادي الجود · 2013- 1- 1

صباح الخير
اعتقد ان هذي اهم النقاط والتعاريف بالمحاضرة 13 واتمنى لكم التوفيق

Lecture 13

Results

RESULTS IN GENERAL: THREE STATISTICAL THINGS TO DO WITH RESULTS

(a) Presentation. Mainly presentation consists of making easy to understand tables, and especially graphs of various sorts, to go in the main text and show the key features of the results (e.g. histograms, bar charts, scatter plots, line graphs of various sorts).
(b) Descriptive statistics.These are figures you (get the computer to) calculate from a lot of specific figures which arise from data. Essentially they summaries certain facts just about the specific cases you studied.
-- (b1) Measures of centrality.These in some way indicate the one score or category that you might choose to represent a whole set of scores or categorizations for one group of cases on one variable. These are mostly familiar measures from everyday life
-- (b2) Measures of variation. These summaries how far the individual scores were closely spread round some central measure, how far they were widely spread.
--(b3) Measures of difference. These summaries the amount of difference between pairs of samples or groups measured, or between scores the same group obtained in different conditions, usually by a figure that is the 'difference between two means', or the 'difference between two percentages' (percentage difference).
--(b4) Measures of relationship. These quantify the amount of relationship between two (or more) variables as measured in the same group of people or whatever.
(c) Inferential statistics.These in some way enable you to generalize from the specific sample(s) you measured, and the descriptive measures of them (O's), to a wider 'population' that you sampled (if that is of interest to you, of course). Most descriptive statistical measures have associated inferential statistics.

- the level of certainty isabout what inferential stats tells you that you will be satisfied with
Significance tests. They tell us if a difference or relationship we have observed in samples is strong enough to indicate

2013- 1- 1	#247
وادي الجود أكـاديـمـي نــشـط الملف الشخصي: رقم العضوية : 39095 تاريخ التسجيل: Sat Oct 2009 المشاركات: 104 الـجنــس : ذكــر عدد الـنقـاط : 132 مؤشر المستوى: 68 بيانات الطالب: الكلية: كلية الاداب لغة انجليزية الدراسة: انتساب التخصص: اللغة الانجليزية المستوى: خريج جامعي	رد: :: هنا مـناقـــشـــــة ومراجـعـة مــادة طـــرق البحث والتصــميم :: صباح الخير اعتقد ان هذي اهم النقاط والتعاريف بالمحاضرة 13 واتمنى لكم التوفيق Lecture 13 Results RESULTS IN GENERAL: THREE STATISTICAL THINGS TO DO WITH RESULTS (a) Presentation. Mainly presentation consists of making easy to understand tables, and especially graphs of various sorts, to go in the main text and show the key features of the results (e.g. histograms, bar charts, scatter plots, line graphs of various sorts). (b) Descriptive statistics.These are figures you (get the computer to) calculate from a lot of specific figures which arise from data. Essentially they summaries certain facts just about the specific cases you studied. -- (b1) Measures of centrality.These in some way indicate the one score or category that you might choose to represent a whole set of scores or categorizations for one group of cases on one variable. These are mostly familiar measures from everyday life -- (b2) Measures of variation. These summaries how far the individual scores were closely spread round some central measure, how far they were widely spread. --(b3) Measures of difference. These summaries the amount of difference between pairs of samples or groups measured, or between scores the same group obtained in different conditions, usually by a figure that is the 'difference between two means', or the 'difference between two percentages' (percentage difference). --(b4) Measures of relationship. These quantify the amount of relationship between two (or more) variables as measured in the same group of people or whatever. (c) Inferential statistics.These in some way enable you to generalize from the specific sample(s) you measured, and the descriptive measures of them (O's), to a wider 'population' that you sampled (if that is of interest to you, of course). Most descriptive statistical measures have associated inferential statistics. - the level of certainty isabout what inferential stats tells you that you will be satisfied with Significance tests. They tell us if a difference or relationship we have observed in samples is strong enough to indicate