ترم كومينتى دفعه 27 💙
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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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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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