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دلائل نظري ♥️ *lecture (1): Introduction to evidence-based practice:* ⬇️ https://drive.google.com/file/d/1ZVK4Ug0q2jPYKPHY9IJlk3ZOQLrspL0k/view?usp=sharing *Lecture 2: Formulate answerable question* ⬇️ https://drive.google.com/file/d/12R8tJv9LuscQbdcTrPVa-7I5gKoWMce8/view?usp=drivesdk *lecture: Types of clinical questions:* ⬇️ https://drive.google.com/file/d/1bMyPDse1z-YKUBWQtQ247yd7IFygBROM/view?usp=sharing *Lecture 4:Types of research and evidence hierarchy* ⬇️ https://drive.google.com/file/d/1PYiQ1VibtHPYPxtZ1eAd7ioGgwLs1Sd4/view?usp=drivesdk *Lecture: Acquire the evidence* ⬇️ https://drive.google.com/file/d/1TUJTYrGxpqMqckQB-MN0gUH4fKDmLFMs/view?usp=sharing *Lecture: Appraise systematic review and meta-analysis;* ⬇️ https://drive.google.com/file/d/1ouF-UIJ7VC2dXwBy1mO98nFj_phgTyEj/view?usp=sharing *Lecture 7: Appraise clinical practice guideline and synthesizing the evidence* ⬇️ *Part 1* https://drive.google.com/file/d/1DT1yzfCL7Q8xAPHfAye620ImWIkqH1d0/view *Part 2* https://drive.google.com/file/d/1IE-PQMnO_gYZlWNb1MrjCsIH6zVD0hFp/view *lecture: part 2: Apply the evidence:* ⬇️ https://drive.google.com/file/d/1HL86EywBYFoDDKIEW-gpOElr5J8F2B5X/view?usp=sharing *lecture: Appraise clinical practice guideline* ⬇️ https://drive.google.com/file/d/1DT1yzfCL7Q8xAPHfAye620ImWIkqH1d0/view?usp=sharing *lecture: Manage change* ⬇️ https://drive.google.com/file/d/1lXITpI8u7yHFm0y-Rk_WabqeG1kPlCxK/view?usp=sharing
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تسجيل المحاضره السادسه ف المدرج
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خدوا بالكم من دول : 🍒 One sample test : campare a single sample mean against a test value. 🍃 Paried sample : compare means of a contious variable in two dependent sample ( from the same individual) ✨ Independent sample : to campare means of a contious variable in two independent sample (two different groups of people). 💜 ANOVA : analysis of variance compare of two or more independent group. ⬅️ In the independent t test : the independent variable is categorical two groups. ➡️ In the ANOVA : the independent variable three groups.
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✨ Mean measure for Quantitative variable ➡️continous or discrete 🌸 Mean not appropriate measure for ordinal ar nominal variable. 🍃Median measure for ordinal qualitative and Quantitative. 💜 Mode appropriate measure for qualitative and Quantitative variables. ➡️ Midrange and range are appropriate measure for Quantitative variables. ➡️ Midrange highly sensitive measure. ✨ Median less affected by extreme values /outlier. 🍃 Mean sensitive measure. ⬅️ Mode No uniqueness.
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المهم ف المحاضره التالته : 🍒 A frequency table is used to summarize categorical or numerical data. ✨ The basic type of tabular presentation is called simple frequency distribution table. ➡️Range = highest - lowest values. ⏹️ Proper class interval 5 -10. ⚠️ Complex frequency distribution data concerning 2 variables. ✨ The graph is a method of presenting statistical data in visual form. 🌸 Diagrams are better retained inthe memory than statistical data. ➡️ Frequency or percentage is generally represented on the vertical scales y axis. 🍒 Bar graph or pie chart are measurements from a nominal or ordinal ( qualitative) 🌸 Histogram, a polygon anf line consist of numerical scores from interval or ratio (Quantitative). ✨ Line graph is useful method for displaying data over a period of time. ↔️ Usually the time variable is put on the horizontal axis (x - axis). ⬅️ The time variable is special type of continuous Quantitative variable. ◀️ Bar chart represent data of qualitative & Quantitative discrete. ✨ Bars are separated from each other and should be left space between every two bars. ✨ The bars must be of the same width. ➡️A pareto chart is a bar chart may be used for discrete data. ⚠️ Comparative bar graph will show associations between categorical variable. ◀️ Histogram is suitable for continuous Quantitative variable. ✨In Histogram there is no space between the columns and placed continuously side by side without a gap between it. ✨ Pie chart used for qualitative variable when represent in a simple table. ◀️ Frequency polygon represent data of Quantitative continuous variable.and its frequency on y axis and opposite the mid point of the interval on X axis. ✨ Scatter polt is the most commonly used chart when observing the relationship between two Quantitative variable. 🍒 Percent = frequency (n) ×100/total. 🌸 Frequency = percent ×N (total) /100. باااس كدا 🙊♥️.
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🔛The most commonly used measures of dispersion are : Coefficient variation, variance, standard deviation. ➡️ Most common measure of variability is standard deviation. 🌸 If even number of observation the median will be ➡️ the average of middle two values. 🍃 If odd number of observation the median will be ➡️ the value in the middle values. ✨ If number of intervals is less than 4 the result in a greater loss of precision. 🍒If number of intervals more than 12 the result in missing the summarization value of the table. 🌸 Double bar graph : make quick comparison between different sets of data. ➡️ Scatter plots : used to show the relationship between two variables. 💜The Range may not reflect the spread in most of the data 🌸 اعرفوا تعريف ال variance لان بييجي ف الصح والغلط كتير 🥲وهو : Variance :Measure dispersion relative to the scatter of the values about their mean 🌸 وبيكون برده measure variability from the average and mean. 🍃 العلاقه بين ال n و variance عكسيه لو ال variance قل يبقي n زايده. ⛔ The variance of the mean decrease when n increase. 🌸 Standerd deviation measures the spread of data around the mean خدوا بالكم منها ✨ Standard deviation is sensitive to outliers /extreme values. 🍒 Coefficient variation is a measure use to compare the dispersion in two sets of data. 🍃 Extreme values not affect the mode. متنسوش دول 😅 https://t.me/c/1769751767/11886 https://t.me/c/1769751767/11887 https://t.me/c/1769751767/11907
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