تذكير 🔴🔴
سيتم اغلاق فورم التقديم في الساعة الرابعة مساء هذا اليوم.
سارعو بالتقديم فلم يفت الاوان بعد
https://docs.google.com/forms/d/e/1FAIpQLSeijqw5z7fgxTXWQEP-tXYKOhstUUGUlsC-zONeTOpdkzqhgw/viewform?usp=sf_link
سيتم الاعلان عن المشاركين في البرنامج والتواصل معهم قريباً.
حظاً موفقاً للجميع
last call for application to MRTP
Today, at 4 p.m., the application form will be closed.
https://docs.google.com/forms/d/e/1FAIpQLSeijqw5z7fgxTXWQEP-tXYKOhstUUGUlsC-zONeTOpdkzqhgw/viewform?usp=sf_link
hurry up!! its never too late
Keep an eye on our social media channels as applications will be reviewed and participants will be announced and contacted soon.
best of luck to everyone.
سيتم اغلاق فورم التقديم في الساعة الرابعة مساء هذا اليوم.
سارعو بالتقديم فلم يفت الاوان بعد
https://docs.google.com/forms/d/e/1FAIpQLSeijqw5z7fgxTXWQEP-tXYKOhstUUGUlsC-zONeTOpdkzqhgw/viewform?usp=sf_link
سيتم الاعلان عن المشاركين في البرنامج والتواصل معهم قريباً.
حظاً موفقاً للجميع
last call for application to MRTP
Today, at 4 p.m., the application form will be closed.
https://docs.google.com/forms/d/e/1FAIpQLSeijqw5z7fgxTXWQEP-tXYKOhstUUGUlsC-zONeTOpdkzqhgw/viewform?usp=sf_link
hurry up!! its never too late
Keep an eye on our social media channels as applications will be reviewed and participants will be announced and contacted soon.
best of luck to everyone.
حانت ساعة الصفر.
نعلن إغلاق استمارة التقديم ، ونتمنى كل التوفيق لجميع المتقدمين.
سيتم الإعلان عن أسماء المشاركين يوم الجمعة و الاتصال بهم.
zero hour has come.
we announce the closure of the application form, wishing all the best to all applicants.
participants names will be announced on Friday and they will be contacted.
keep an eye on Medstat Accounts for updates.
#MRTP
#Medstat
نعلن إغلاق استمارة التقديم ، ونتمنى كل التوفيق لجميع المتقدمين.
سيتم الإعلان عن أسماء المشاركين يوم الجمعة و الاتصال بهم.
zero hour has come.
we announce the closure of the application form, wishing all the best to all applicants.
participants names will be announced on Friday and they will be contacted.
keep an eye on Medstat Accounts for updates.
#MRTP
#Medstat
We appreciate your enthusiasm for the MRTP; but, due to a restricted number of seats, only 10 individuals were chosen.
🟢 Application will be opened again in early March, with preference given to individuals who applied this time but were unlucky .
🟢 We remind all individuals who have been accepted to complete the registration procedures during this day, pay the fees, and send the bail to the Medical Research Education Office's WhatsApp number.
🟢 Accounts numbers:
Fawry 51172491
Bankak 2408204
For: Altayeb Gareeb-Allah
☎️ Research Medical Education Office Number:
+249 11 100 1763
🟢 نشكركم على تفاعلكم الرائع مع برنامج MRTP ، ولكن نظرًا للمقاعد المحدودة ، تم اختيار عشرة مشاركين فقط.
🟢 سيتم فتح باب التقديم مرة ثانية في بداية شهر مارس ، وستعطى الأولوية لمن تقدموا ولم يحالفهم الحظ هذه المرة.
🟢 ننبه كل من تم قبولهم للإسراع بإتمام إجراءات التسجيل خلال هذا اليوم ودفع الرسوم مع إرسال إشعار إلى رقم مكتب التعليم البحثي الطبي.
🟢 أرقام الحسابات:
فوري 51172491
بنكك 2408204
باسم: الطيب قريب الله
☎️ رقم مكتب التعليم البحثي الطبي :
+249 11 100 1763
#MRTP
#Medstat
🟢 Application will be opened again in early March, with preference given to individuals who applied this time but were unlucky .
🟢 We remind all individuals who have been accepted to complete the registration procedures during this day, pay the fees, and send the bail to the Medical Research Education Office's WhatsApp number.
🟢 Accounts numbers:
Fawry 51172491
Bankak 2408204
For: Altayeb Gareeb-Allah
☎️ Research Medical Education Office Number:
+249 11 100 1763
🟢 نشكركم على تفاعلكم الرائع مع برنامج MRTP ، ولكن نظرًا للمقاعد المحدودة ، تم اختيار عشرة مشاركين فقط.
🟢 سيتم فتح باب التقديم مرة ثانية في بداية شهر مارس ، وستعطى الأولوية لمن تقدموا ولم يحالفهم الحظ هذه المرة.
🟢 ننبه كل من تم قبولهم للإسراع بإتمام إجراءات التسجيل خلال هذا اليوم ودفع الرسوم مع إرسال إشعار إلى رقم مكتب التعليم البحثي الطبي.
🟢 أرقام الحسابات:
فوري 51172491
بنكك 2408204
باسم: الطيب قريب الله
☎️ رقم مكتب التعليم البحثي الطبي :
+249 11 100 1763
#MRTP
#Medstat
Three groups of subjects were followed over the course of five years to compare
treatments for sideroblastic anemia. The most appropriate statistical analysis to determine the quantitative serologic differences
resulting from these treatments would be
treatments for sideroblastic anemia. The most appropriate statistical analysis to determine the quantitative serologic differences
resulting from these treatments would be
Anonymous Quiz
8%
Regression analysis
52%
F test (ANOVA)
13%
Correlation analysis
17%
Chi-square test
10%
T test
Malaria cases were reported throughout the world during the year 1971 – 1978 excluding African region. These cases can be best
represented by
represented by
Anonymous Quiz
13%
Frequency polygon
33%
Histogram
19%
Line diagram
9%
Pictogram
25%
Scatter diagram
There are 50 individual in population and they have same hemoglobin level that is 14g/dL. As there is no variability, the standard
deviation will be:
deviation will be:
Anonymous Quiz
73%
0
7%
1,-1
13%
0,1
7%
2
0%
-2
A mean hemoglobin level of 100 women in a population sample is 12g/dL with standard deviation of 2. The confidence interval for
the population mean would be:
the population mean would be:
Anonymous Quiz
20%
10.4 – 11.6
46%
11.6 – 12.4
22%
12.4 – 13.6
7%
13.6 – 14.4
7%
14.4 – 15.6
The students of4th year MBBS class visited a school. The numbers of students per class from class I to class IX were as follows:
27, 23, 15, 18, 30, 24, 8, 12 and 16. The median number in this series is:
27, 23, 15, 18, 30, 24, 8, 12 and 16. The median number in this series is:
Anonymous Quiz
2%
12
12%
15
24%
16
49%
18
14%
23
In a village of 300 population, 60% constitute Hindus, 20% Muslims, 10% Sikhs and 10% Christians. We want to take a sample of
10% of the population to study the eating habits of this population. The best m ethod would be:
10% of the population to study the eating habits of this population. The best m ethod would be:
Anonymous Quiz
9%
Simple random sampling
52%
Stratified random sampling
11%
Systematic random sampling
4%
Non-random sampling
24%
Cluster sampling