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Lecturer: ASSIST. PROF. Dr. NOOR
HADI AYSA
:Reference
Biostatistics a Foundation for Analysis in the
Health Sciences; Seventh Edition: by Wayne W.
Daniel, Wiley Medical, New York, 1999.
2020-2021
Biostatistics
Statistics is the study of the
methods and procedures collecting,
classifying, summarizing data and for
making scientific inferences from such
data.
Introduction &
Statistical Definitions
What is Statistics?
Statistical methodology can be
separated into two components:
1- Descriptive Statistics:
Summarizing the information in a collection
of data by presentation its in tables, graphs,
and the collection of numerical summaries
such as frequencies, mean, median, etc.
2- Inferential Statistics:
Using information from a sample to make
conclusions/ predictions about the population.
?What is Biostatistics
Biostatistics encompasses a wide
variety of applications of statistics to
biological sciences, includes:
1. The design and analysis of biological
experiments and surveys.
2. Quantification of biological
phenomena.
3. The use of statistical principles in
managing biological processes, etc.
Biostatics originated from statistical
applications for agriculture, but its
scope now includes such:
1- Environmental sciences.
2- Food & water quality assurance.
3- Pharmaceutical development & risk
assessment.
4- Health & international development,
and any more.
There are two reasons to study biosta.
1- The study of biostatistics will help students
to understand the nature of variability.
2- Biostatistics will teach how derive general
law from small samples.
Biostatistics
Is defined as the application of statistical
method or mathematical logic, to analyze
and understanding of biological variation.
Statistical Definitions:
Populations: A population is the largest
group of people or things, for example
the students enrolled in Babylon
University.
Samples: Is a part of population, for
example the students enrolled in
Pharmacy College.
Sample Size: The number of elements in
the sample is called the sample size and
is denoted by n.
Variable: Is defined as characteristics,
which show variation or variability. For
examples, height, no. of drugs,
educational level, number of students, etc.
Types of Variables:
1- Quantitative Variables:
2- Qualitative Variables:
are numbers indicating how much or how
many of something (weights, temp, ages...)
There are two types of Quantitative Var.
a- Discrete Variables: Variables which are
measured on discontinuous scale (with out rang)
- Family size (x = 4)
- No. of students in Pharmacy Col. (x = 450)
b- Continuous Variables: Variables which
are measured on continuous scale (interval):
- Blood sugar level (90 < x < 120) g/dl
- Serum Cholesterol (140 < x < 160) mg/dl
1- Quantitative Variables:
a- Nominal Variables: Variables which are not
numeric data or in event groups, We can not
arranged its. For example:
-Types of drugs (Alkaloids, Glycosides, Tannins).
- Gender (male, Female).
b- Ordinal Variables: Variables which are
consist of levels or groups, We can arranged
its ascending or descending. For example:
-Conc. of vit. C (Fruits, Vegetables, Nuts).
-level of education (Bc, MSc, PhD).
2- Qualitative Variables:
There are two types of Qualitative Variables:
Exercise 1:
Q1: State which of the following variables are:
(a) Qualitative & nominal.
(b) qualitative & ordinal.
(c) quantitative & continuos.
(d) quantitative & discrete.
1. Place of Birth.
2. Marital status.
3. Mass.
4. Family name.
5. Temperature in Centgrate.
6. Number of hospital beds.
7. Educational levels .
Question 2
To estimate the blood glucose level of Iraqi
adults, we measure the blood glucose
level of 50 Iraqi adult mens, then in this
experiment:
1- The population is?
[a] Iraqi adult mens.
[b] blood glucose level.
[c] 50 Iraqi adult mens.
[d] Iraqi adults.
To estimate the blood glucose level of Iraqi
adults, we measure the blood glucose
level of 50 Iraqi adult mens, then in this
experiment:
2- The Variable is?
[a] Iraqi mens.
[b] Iraqi adults.
[c] 50 Iraqi adult mens.
[d] blood glucose level.
To estimate the blood glucose level of
Iraqi adults, we measure the blood
glucose level of 50 Iraqi adult mens, then
in this experiment:
3- Type of the variable is:
[a] Qualitative & nominal .
[b] Quantitative and discrete.
[c] Quantitative and continuous.
[d] Qualitative & ordinal .
To estimate the blood glucose level of Iraqi
adults, we measure the blood glucose
level of 50 Iraqi adult mens, then in this
experiment:
4- The sample is?
[a] 50 Iraqi adult mens.
[b] Iraqi mens.
[c] Iraqi adult mens.
[d] Iraqi.
To estimate the blood glucose level of Iraqi
adults, we measure the blood glucose
level of 50 Iraqi adult mens, then in this
experiment:
5- The sample size is?
[a] 50 Iraqi adult mens.
[b] Iraqi adult mens.
[c] adults mens.
[d] blood glucose level .
Question 3
For a sample of 100 diabetic patients in
Babylon Governorate, we measure how long
the patient lives after diagnosis, then in this
experiment ?
1- The population is:
(A) Babylon governorate.
(B) All diabetic patients in Babylon governorate.
(C) 100 Babylon patients.
(D) All Babylon patients.
(E) The patient lives after diagnosis.
For a sample of 100 diabetic patients in
Babylon Governorate, we measure how
long the patient lives after diagnosis,
then in this experiment ?
2- The Variable is?
(A) Number of patients.
(B) Diabetic.
(C) Length of life after diagnosis.
(D) All Babylon patients.
(E) Diabetic patients.
For a sample of 100 diabetic patients in
Babylon Governorate, we measure how
long the patient lives after diagnosis,
then in this experiment ?
3- The type of the variable is:
(A) Qualitative.
(B) Quantitative and discrete.
(C) Quantitative and continuous.
(D) Quantitative only.
(E) None of these.
For a sample of 100 diabetic patients in
Babylon Governorate, we measure how
long the patient lives after diagnosis,
then in this experiment ?
4- The sample is?
(A) Number of patients.
(B) Diabetic patients.
(C) Length of life after diagnosis.
(D) All Babylon patients.
(E) None of these.
For a sample of 100 diabetic patients in
Babylon Governorate, we measure how
long the patient lives after diagnosis,
then in this experiment ?
5- The sample size is:
(A) Babylon governorate.
(B) Babylon patients.
(C) Babylon adults.
(D) 100 diabetic patients.
(E) None of these.

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مستند PDF.pdf

  • 1. Lecturer: ASSIST. PROF. Dr. NOOR HADI AYSA :Reference Biostatistics a Foundation for Analysis in the Health Sciences; Seventh Edition: by Wayne W. Daniel, Wiley Medical, New York, 1999. 2020-2021 Biostatistics
  • 2. Statistics is the study of the methods and procedures collecting, classifying, summarizing data and for making scientific inferences from such data. Introduction & Statistical Definitions What is Statistics?
  • 3. Statistical methodology can be separated into two components: 1- Descriptive Statistics: Summarizing the information in a collection of data by presentation its in tables, graphs, and the collection of numerical summaries such as frequencies, mean, median, etc. 2- Inferential Statistics: Using information from a sample to make conclusions/ predictions about the population.
  • 4. ?What is Biostatistics Biostatistics encompasses a wide variety of applications of statistics to biological sciences, includes: 1. The design and analysis of biological experiments and surveys. 2. Quantification of biological phenomena. 3. The use of statistical principles in managing biological processes, etc.
  • 5. Biostatics originated from statistical applications for agriculture, but its scope now includes such: 1- Environmental sciences. 2- Food & water quality assurance. 3- Pharmaceutical development & risk assessment. 4- Health & international development, and any more.
  • 6. There are two reasons to study biosta. 1- The study of biostatistics will help students to understand the nature of variability. 2- Biostatistics will teach how derive general law from small samples. Biostatistics Is defined as the application of statistical method or mathematical logic, to analyze and understanding of biological variation.
  • 7. Statistical Definitions: Populations: A population is the largest group of people or things, for example the students enrolled in Babylon University. Samples: Is a part of population, for example the students enrolled in Pharmacy College. Sample Size: The number of elements in the sample is called the sample size and is denoted by n.
  • 8. Variable: Is defined as characteristics, which show variation or variability. For examples, height, no. of drugs, educational level, number of students, etc. Types of Variables: 1- Quantitative Variables: 2- Qualitative Variables:
  • 9. are numbers indicating how much or how many of something (weights, temp, ages...) There are two types of Quantitative Var. a- Discrete Variables: Variables which are measured on discontinuous scale (with out rang) - Family size (x = 4) - No. of students in Pharmacy Col. (x = 450) b- Continuous Variables: Variables which are measured on continuous scale (interval): - Blood sugar level (90 < x < 120) g/dl - Serum Cholesterol (140 < x < 160) mg/dl 1- Quantitative Variables:
  • 10. a- Nominal Variables: Variables which are not numeric data or in event groups, We can not arranged its. For example: -Types of drugs (Alkaloids, Glycosides, Tannins). - Gender (male, Female). b- Ordinal Variables: Variables which are consist of levels or groups, We can arranged its ascending or descending. For example: -Conc. of vit. C (Fruits, Vegetables, Nuts). -level of education (Bc, MSc, PhD). 2- Qualitative Variables: There are two types of Qualitative Variables:
  • 11. Exercise 1: Q1: State which of the following variables are: (a) Qualitative & nominal. (b) qualitative & ordinal. (c) quantitative & continuos. (d) quantitative & discrete. 1. Place of Birth. 2. Marital status. 3. Mass. 4. Family name. 5. Temperature in Centgrate. 6. Number of hospital beds. 7. Educational levels .
  • 12. Question 2 To estimate the blood glucose level of Iraqi adults, we measure the blood glucose level of 50 Iraqi adult mens, then in this experiment: 1- The population is? [a] Iraqi adult mens. [b] blood glucose level. [c] 50 Iraqi adult mens. [d] Iraqi adults.
  • 13. To estimate the blood glucose level of Iraqi adults, we measure the blood glucose level of 50 Iraqi adult mens, then in this experiment: 2- The Variable is? [a] Iraqi mens. [b] Iraqi adults. [c] 50 Iraqi adult mens. [d] blood glucose level.
  • 14. To estimate the blood glucose level of Iraqi adults, we measure the blood glucose level of 50 Iraqi adult mens, then in this experiment: 3- Type of the variable is: [a] Qualitative & nominal . [b] Quantitative and discrete. [c] Quantitative and continuous. [d] Qualitative & ordinal .
  • 15. To estimate the blood glucose level of Iraqi adults, we measure the blood glucose level of 50 Iraqi adult mens, then in this experiment: 4- The sample is? [a] 50 Iraqi adult mens. [b] Iraqi mens. [c] Iraqi adult mens. [d] Iraqi.
  • 16. To estimate the blood glucose level of Iraqi adults, we measure the blood glucose level of 50 Iraqi adult mens, then in this experiment: 5- The sample size is? [a] 50 Iraqi adult mens. [b] Iraqi adult mens. [c] adults mens. [d] blood glucose level .
  • 17. Question 3 For a sample of 100 diabetic patients in Babylon Governorate, we measure how long the patient lives after diagnosis, then in this experiment ? 1- The population is: (A) Babylon governorate. (B) All diabetic patients in Babylon governorate. (C) 100 Babylon patients. (D) All Babylon patients. (E) The patient lives after diagnosis.
  • 18. For a sample of 100 diabetic patients in Babylon Governorate, we measure how long the patient lives after diagnosis, then in this experiment ? 2- The Variable is? (A) Number of patients. (B) Diabetic. (C) Length of life after diagnosis. (D) All Babylon patients. (E) Diabetic patients.
  • 19. For a sample of 100 diabetic patients in Babylon Governorate, we measure how long the patient lives after diagnosis, then in this experiment ? 3- The type of the variable is: (A) Qualitative. (B) Quantitative and discrete. (C) Quantitative and continuous. (D) Quantitative only. (E) None of these.
  • 20. For a sample of 100 diabetic patients in Babylon Governorate, we measure how long the patient lives after diagnosis, then in this experiment ? 4- The sample is? (A) Number of patients. (B) Diabetic patients. (C) Length of life after diagnosis. (D) All Babylon patients. (E) None of these.
  • 21. For a sample of 100 diabetic patients in Babylon Governorate, we measure how long the patient lives after diagnosis, then in this experiment ? 5- The sample size is: (A) Babylon governorate. (B) Babylon patients. (C) Babylon adults. (D) 100 diabetic patients. (E) None of these.