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⭕ قناة طبية شاملة . ⭕تحتوي على عمليات جراحية وشرح للادوية ومعلومات طبية شاملة. ⭕القناة بأدارة طالب يدرس في كلية الطب الجامعة المستنصرية. ⭕رابط القناة
https://t.me/+m-c4XI0BaGQ5ODdiاكو مصدر خلال امتحانات الفاينل هو بس mcq الطلاب كالت الدكتور جاب من عنده فما ادري اذا منزلته لو لا لكن الي عنده خل يحوله موفقين ان شاء الله
لان امتحان البارا اقترب هاي كل الملاحظات الي مسجله خلال السنة خاف تفيدكم اسئله مقالية ام mcq
Repost from Parasitology🦠
الي عندة أسئلة او يعرف سؤال مقالي يدزلنة يعني يعرف صديق من العام او اول العام اي شي، 😔
Repost from Parasitology🦠
اسئله نصف السنه :(short answer)
Q1/
1-compare between discrete variable and continuous variable.
2-compare between range and interquartile range.
Q2/define:
1-Null hypothesis.
2-type 2 error.
Q1/Discrete variable is characterized by only a countable no. of distinct
Value.ex/number of child in family.
b. Continuous variable are those, which are measured on a continuous scale.ex/age ,weight.
Q1B/Range: is the difference between the largest and the smallest value in the data distribution.
Interquartile range
the distance between the first and third quartile
Q2/Null hypothesis:states that there will be no difference, no effect, or no relationship between the variables.
A type Ⅱ error (i.e., an acceptance error or β-error) occurs when the null hypothesis is not rejected
𝖆𝖑𝖎 𝖏𝖆𝖇𝖇𝖆𝖗:
Q// Enumerate the types of measurement scales?
A// - nominal scale
- ordinal scale
- interval scale
- ratio scale
اسئله نصف السنه :(short answer)
Q1/
1-compare between discrete variable and continuous variable.
2-compare between range and interquartile range.
Q2/define:
1-Null hypothesis.
2-type 2 error.
Q1/ Discrete variable is characterized by only a countable no. of distinct
Value.ex/number of child in family.
b. Continuous variable are those, which are measured on a continuous scale.ex/age ,weight.
Q1B/Range: is the difference between the largest and the smallest value in the data distribution.
Interquartile range
the distance between the first and third quartile
Q2/Null hypothesis:states that there will be no difference, no effect, or no relationship between the variables.
A type Ⅱ error (i.e., an acceptance error or β-error) occurs when the null hypothesis is not rejected
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