DATA ANALYSIS OF BIOSTATISTICS.pptx
•Download as PPTX, PDF•
0 likes•2 views
Data analysis involves collecting and analyzing biological or health data using statistical methods. It involves inspecting, transforming, and modeling data to discover useful information. In biostatistics, data analysis can be qualitative or quantitative, using primary or secondary data. Common analyses include measures of central tendency (mean, median, mode), central dispersion (range, standard deviation), probability distributions (normal, binomial), and z-scores.
Report
Share
Report
Share
Recommended
Intro to Biostat. ppt
This document provides definitions and concepts related to biostatistics. It defines key terms like population, sample, variables, data and measures of central tendency. It describes measures of central tendency like mean, median and mode. It also discusses measures of variation or dispersion like range, variance and standard deviation. The document aims to introduce basic statistical concepts used in health sciences research.
Biostatistics khushbu
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications in various medical fields. The key areas covered include defining variables and parameters, common statistical terms, sources of data collection, methods of presenting data through tabulation and diagrams, analyzing data through measures like mean, median, mode, range and standard deviation, sampling and related errors, significance tests, and uses of biostatistics in areas like epidemiology and clinical trials.
Biostatistics
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications of biostatistics in various medical fields. The document aims to introduce students to important biostatistical concepts and their use in research, clinical trials, epidemiology and other areas of medicine.
Basic introduction to research methods
The document outlines the scientific method used in psychology. It discusses the 5 basic steps: 1) observe phenomena, 2) formulate a question/hypothesis, 3) test predictions through research, 4) draw conclusions, and 5) evaluate results and collaborate. It also describes different types of research (descriptive, correlational, experimental) and settings (laboratory, natural observation). Experimental research involves manipulating an independent variable to measure its effect on a dependent variable, while controlling for validity, experimenter bias, participant bias, and placebo effects. Data is analyzed using descriptive and inferential statistics to determine if results support hypotheses. Ethical standards require informed consent, debriefing, confidentiality, and humane treatment of research participants.
Data Analysis and Presentation.pptx
This document discusses data analysis and presentation. It defines data and information, and describes primary and secondary sources of data. It also discusses qualitative and quantitative data types, as well as the purposes of data collection. Methods of data collection and presentation of data through tables, charts, and graphs are explained. Descriptive statistics such as measures of central tendency and dispersion are covered. Inferential statistics for testing hypotheses and making predictions from samples are also summarized. Common statistical tests for different experimental designs are outlined.
Basic introduction to research methods
1. Psychology uses the scientific method to conduct research in an organized and objective way to increase knowledge. The scientific method involves observing phenomena, formulating questions and hypotheses, testing predictions through research, drawing conclusions, and evaluating results.
2. There are different types of research including descriptive research using surveys and case studies, correlational research examining relationships between variables, and experimental research manipulating independent variables. Research also takes place in laboratories and natural settings.
3. Researchers analyze data using descriptive statistics to summarize results and inferential statistics to determine if findings are statistically significant. They interpret what conclusions can be drawn given the data while considering the study's limitations.
Biostatistics general introduction central tendency
Here are the measures of central tendency and variability I calculated from the given data:
Measures of Central Tendency:
Mean = Sum of all values / Total number of observations
= (60 + 70 + 80 + 90 + 100 + 60 + 70 + 80 + 81 + 79) / 10
= 771 / 10 = 77.1
Measures of Variability:
Range = Highest value - Lowest value
= 100 - 60 = 40
Mean Deviation = Sum of absolute deviations from the mean / Total number of observations
= |60 - 77.1| + |70 - 77.1| + ... + |79 - 77.1| / 10
= 62.1
Data type source presentation im
1. Determine the range and number of class intervals
2. Calculate the class width using the range and number of intervals
3. Define the class boundaries, which can be inclusive or exclusive
4. Create a table with class intervals, frequency, and percentage columns
5. Tabulate the data by tallying the observations in each interval
This provides a concise summary of the data distribution across intervals of the variable.
Recommended
Intro to Biostat. ppt
This document provides definitions and concepts related to biostatistics. It defines key terms like population, sample, variables, data and measures of central tendency. It describes measures of central tendency like mean, median and mode. It also discusses measures of variation or dispersion like range, variance and standard deviation. The document aims to introduce basic statistical concepts used in health sciences research.
Biostatistics khushbu
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications in various medical fields. The key areas covered include defining variables and parameters, common statistical terms, sources of data collection, methods of presenting data through tabulation and diagrams, analyzing data through measures like mean, median, mode, range and standard deviation, sampling and related errors, significance tests, and uses of biostatistics in areas like epidemiology and clinical trials.
Biostatistics
This document provides an overview of biostatistics. It defines biostatistics and discusses topics like data collection, presentation through tables and charts, measures of central tendency and dispersion, sampling, tests of significance, and applications of biostatistics in various medical fields. The document aims to introduce students to important biostatistical concepts and their use in research, clinical trials, epidemiology and other areas of medicine.
Basic introduction to research methods
The document outlines the scientific method used in psychology. It discusses the 5 basic steps: 1) observe phenomena, 2) formulate a question/hypothesis, 3) test predictions through research, 4) draw conclusions, and 5) evaluate results and collaborate. It also describes different types of research (descriptive, correlational, experimental) and settings (laboratory, natural observation). Experimental research involves manipulating an independent variable to measure its effect on a dependent variable, while controlling for validity, experimenter bias, participant bias, and placebo effects. Data is analyzed using descriptive and inferential statistics to determine if results support hypotheses. Ethical standards require informed consent, debriefing, confidentiality, and humane treatment of research participants.
Data Analysis and Presentation.pptx
This document discusses data analysis and presentation. It defines data and information, and describes primary and secondary sources of data. It also discusses qualitative and quantitative data types, as well as the purposes of data collection. Methods of data collection and presentation of data through tables, charts, and graphs are explained. Descriptive statistics such as measures of central tendency and dispersion are covered. Inferential statistics for testing hypotheses and making predictions from samples are also summarized. Common statistical tests for different experimental designs are outlined.
Basic introduction to research methods
1. Psychology uses the scientific method to conduct research in an organized and objective way to increase knowledge. The scientific method involves observing phenomena, formulating questions and hypotheses, testing predictions through research, drawing conclusions, and evaluating results.
2. There are different types of research including descriptive research using surveys and case studies, correlational research examining relationships between variables, and experimental research manipulating independent variables. Research also takes place in laboratories and natural settings.
3. Researchers analyze data using descriptive statistics to summarize results and inferential statistics to determine if findings are statistically significant. They interpret what conclusions can be drawn given the data while considering the study's limitations.
Biostatistics general introduction central tendency
Here are the measures of central tendency and variability I calculated from the given data:
Measures of Central Tendency:
Mean = Sum of all values / Total number of observations
= (60 + 70 + 80 + 90 + 100 + 60 + 70 + 80 + 81 + 79) / 10
= 771 / 10 = 77.1
Measures of Variability:
Range = Highest value - Lowest value
= 100 - 60 = 40
Mean Deviation = Sum of absolute deviations from the mean / Total number of observations
= |60 - 77.1| + |70 - 77.1| + ... + |79 - 77.1| / 10
= 62.1
Data type source presentation im
1. Determine the range and number of class intervals
2. Calculate the class width using the range and number of intervals
3. Define the class boundaries, which can be inclusive or exclusive
4. Create a table with class intervals, frequency, and percentage columns
5. Tabulate the data by tallying the observations in each interval
This provides a concise summary of the data distribution across intervals of the variable.
Data and Data Collection in Data Science.ppt
What is Data and methods of Data Collection in Data Science and Technology.
Biostatistics-C-2-Item-2pdf.pdf
This document provides an overview of biostatistics and medical statistics. It defines key terms like statistics, biostatistics, medical statistics, and vital statistics. It describes sources of data for vital events and the uses of biostatistics in collecting and analyzing medical data to inform decisions. The document outlines different types of data, variables, scales of measurement, and methods for data collection and presentation. It also defines important statistical measures like mean, median, mode, range, and standard deviation used to summarize central tendencies and dispersion in data.
Introduction to Biostatistics_20_4_17.ppt
This document provides an introduction to biostatistics. It discusses the objectives of learning descriptive statistics and understanding different types of data. It describes the branches of statistics as descriptive, dealing with summarizing data, and inferential, dealing with drawing inferences from samples. The document outlines different types of data as qualitative or quantitative, and categorical (nominal, ordinal, binary) or measurement (discrete, continuous) data. It discusses measures of location such as mean, median and mode, and measures of variation such as range, standard deviation, and interquartile range. The goals of descriptive statistics and choosing appropriate measures of location and variation are also covered.
Lect 1_Biostat.pdf
This document provides an introduction to statistics and biostatistics. It discusses what statistics and biostatistics are, their uses, and what they cover. Specifically, it explains that biostatistics applies statistical methods to biological and medical data. It also discusses different types of data, variables, coding data, and strategies for describing data, including tables, diagrams, frequency distributions, and numerical measures. Graphs and charts discussed include bar charts, pie charts, histograms, scatter plots, box plots, and stem-and-leaf plots. The document provides examples and illustrations of these concepts and techniques.
Biostatistics.pptx
Dental public health, topic is biostatistics. Dr Samiul Islam, BDS(Dhaka University) , MPH, DDS, (Bangabondhu Sheikh mujib medical University)
The Uneven Future of Evidence-Based Medicine
An Apple ResearchKit study enrolled 22,000 people in five days. A
study claims that Twitter can be used to identify depressed patients. A computer program crunches genomic data, the published literature, and electronic health record data to guide cancer treatment. The pace, the data sources, and the methods for generating medical evidence are changing radically. What will — what should — evidence-based medicine look like in a faster, personalized, data-dense tomorrow?
- Presented as the 3rd Annual Cochrane Lecture, October 2015 in Vienna, Austria.
Data Display and Summary
This document provides an overview of key concepts in data display and summary, biostatistics, and descriptive statistics. It defines data, statistics, vital statistics, biostatistics, descriptive statistics, inferential statistics, primary and secondary data, variables, categories of data, quantitative and qualitative data, measures of central tendency, measures of dispersion, and other statistical terminology. It also gives examples to illustrate concepts like mean, median, mode, range, variance, and standard deviation.
Bioststistic mbbs-1 f30may
This document provides an overview of biostatistics including:
1. Biostatistics applies statistical tools to biological and medical data. It includes descriptive and inferential statistics.
2. Descriptive statistics summarize data while inferential statistics make inferences beyond the available data.
3. Key concepts in biostatistics include variables, populations, samples, and measures of central tendency (mean, median, mode) and dispersion (range, standard deviation).
4. Biostatistics is important in medicine for research, diagnosis, treatment and public health applications like determining disease patterns.
data analysis in Statistics-2023 guide 2023
- Statistics is the science of collecting, analyzing, interpreting, presenting, and organizing data. It is used across various fields including physics, business, social sciences, and healthcare.
- There are two main branches of statistical analysis: descriptive statistics, which summarizes and describes data, and inferential statistics, which draws conclusions about populations based on samples.
- Key concepts include populations, samples, parameters, statistics, and the differences between descriptive and inferential analysis. Measures of central tendency like the mean, median, and mode are used to describe data, while measures of variation like the range, variance, and standard deviation quantify how spread out the data is.
Mathematical statistics i
Introduction to Mathematical Statistics-Statistical Data-Types of Data-Primary Data-Secondary Data-Frequency Distribution-Graphical Representation
Biostatistics for Biological Data Analysis.pptx
This document provides an overview of biostatistics topics to be covered in a course at Haramaya University. It discusses descriptive versus inferential statistics, data types, research design concepts like sampling and sample size determination, biological data analysis techniques, and experimental designs. The introduction defines statistics and its key components like populations, samples, parameters, and statistics. It also distinguishes descriptive statistics, which summarize sample data, from inferential statistics, which make conclusions about populations.
Data Display and Summary
This document provides an overview of key concepts in biostatistics including data display and summary. It defines different types of data, variables, and statistical measures. Descriptive statistics like mean, median and mode are used to summarize central tendencies, while measures like range, variance and standard deviation describe data dispersion. Various graphs including histograms, boxplots and stem-and-leaf plots are discussed as tools for data visualization.
Introduction to nursing Statistics.pptx
This document provides an overview of key concepts in nursing statistics. It begins by outlining the course objectives, which are to develop statistical literacy, analyze nursing literature, and critically evaluate different statistical methods. It then defines different statistical terms and concepts, including the different types of data, measures of central tendency, variability, and correlation. Examples are provided to illustrate these statistical techniques. The document serves to introduce nursing students to important foundational knowledge in statistics for analyzing nursing research.
introduction to statistical theory
This document provides an introduction to statistical theory. It discusses why statistics are studied and defines key statistical concepts such as populations, samples, parameters, statistics, descriptive statistics, inferential statistics, and the different types of data and variables. It also covers experimental design, methods for collecting data such as surveys and sampling, and different sampling methods like random, stratified, cluster, and systematic sampling.
Bio-Statistics in Bio-Medical research
This document discusses key concepts in biostatistics used in biomedical research. It covers topics like types of variables, measures of central tendency and dispersion, distributions of data, statistical tests for different situations, hypotheses testing and errors, measures of association, diagnostic tests, and regression analysis. Understanding biostatistics is important for evidence-based medicine and improving patient lives through rigorous research. Sample size, confidence intervals, and avoiding bias and confounding are important considerations in study design and interpretation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Biometry for 2015.ppt
1. This document provides an overview of a course on advanced biometrics that includes topics like experimental design, data analysis, quantitative genetics, and statistical concepts.
2. It discusses different types of genetic studies including qualitative, molecular, and quantitative genetics. Quantitative genetics deals with inheritance of traits that can be measured and are influenced by many genes and the environment.
3. The document emphasizes the importance of quantitative genetics for studying economically important traits in crops, livestock, and other organisms. It also explains how quantitative genetics is useful for evolution, population, and selection studies.
SYRCLE_Hooijmans mini symposium sr animal studies 30082012
The document discusses the steps required to perform a systematic review of animal studies. It outlines that a systematic review involves 1) phrasing a clear research question, 2) defining inclusion and exclusion criteria, 3) systematically searching for all original papers on the topic, 4) selecting relevant papers, 5) assessing study quality and validity, 6) extracting data, 7) analyzing results through meta-analysis if possible, and 8) interpreting and presenting the data. The presentation focuses on how to phrase the research question, define criteria, systematically search the literature, assess study quality, and analyze results through meta-analysis to draw overall conclusions.
Biostatisitics.pptx
The document provides an overview of biostatistics and its key concepts. It discusses the objectives of biostatistical study as presenting data in a way that allows for valid interpretations. It outlines topics covered in the course including different data types, scales of measurement, data collection techniques, and the use of computers for statistical analysis. References for further learning are also provided.
Research & medicine
This document discusses key concepts related to research, medicine, health, and the research process. It defines research as the systematic investigation and study of materials to establish facts and reach new conclusions. Knowledge is what is believed to be true about something, while facts are just data. Medicine is defined as the diagnosis, treatment, and prevention of disease. The research process involves identifying a problem, reviewing literature, developing a study design, collecting and analyzing data, and disseminating findings. Ethical considerations and developing a capable research team are also discussed.
eukaryotik dna elongation.pptx
During DNA elongation, DNA polymerase adds complementary DNA nucleotides to the 3' end of a newly synthesized strand using the template strand as a guide. On the lagging strand, DNA polymerase can only synthesize DNA in the 5' to 3' direction, so Okazaki fragments are formed that later need to be joined together. In contrast, the leading strand is synthesized continuously because DNA polymerase can add nucleotides to the 3' end that is open for elongation as the replication fork moves along.
DNA IS GENETIC METERIAL.pptx
This document summarizes three key experiments in the discovery of DNA as the genetic material:
- In 1927, Frederick Griffith discovered the "transforming principle" through experiments showing that living bacteria could be transformed from harmless to virulent.
- In 1944, Avery, Macleod and McCarty treated bacteria with enzymes that broke down proteins, RNA and DNA, finding that only treatment with DNAses inhibited bacterial transformation, proving DNA was the genetic material.
- In 1952, Hershey and Chase used radioactive labeling to show that DNA, not protein, entered bacteria during viral infection, confirming DNA as the hereditary material.
More Related Content
Similar to DATA ANALYSIS OF BIOSTATISTICS.pptx
Data and Data Collection in Data Science.ppt
What is Data and methods of Data Collection in Data Science and Technology.
Biostatistics-C-2-Item-2pdf.pdf
This document provides an overview of biostatistics and medical statistics. It defines key terms like statistics, biostatistics, medical statistics, and vital statistics. It describes sources of data for vital events and the uses of biostatistics in collecting and analyzing medical data to inform decisions. The document outlines different types of data, variables, scales of measurement, and methods for data collection and presentation. It also defines important statistical measures like mean, median, mode, range, and standard deviation used to summarize central tendencies and dispersion in data.
Introduction to Biostatistics_20_4_17.ppt
This document provides an introduction to biostatistics. It discusses the objectives of learning descriptive statistics and understanding different types of data. It describes the branches of statistics as descriptive, dealing with summarizing data, and inferential, dealing with drawing inferences from samples. The document outlines different types of data as qualitative or quantitative, and categorical (nominal, ordinal, binary) or measurement (discrete, continuous) data. It discusses measures of location such as mean, median and mode, and measures of variation such as range, standard deviation, and interquartile range. The goals of descriptive statistics and choosing appropriate measures of location and variation are also covered.
Lect 1_Biostat.pdf
This document provides an introduction to statistics and biostatistics. It discusses what statistics and biostatistics are, their uses, and what they cover. Specifically, it explains that biostatistics applies statistical methods to biological and medical data. It also discusses different types of data, variables, coding data, and strategies for describing data, including tables, diagrams, frequency distributions, and numerical measures. Graphs and charts discussed include bar charts, pie charts, histograms, scatter plots, box plots, and stem-and-leaf plots. The document provides examples and illustrations of these concepts and techniques.
Biostatistics.pptx
Dental public health, topic is biostatistics. Dr Samiul Islam, BDS(Dhaka University) , MPH, DDS, (Bangabondhu Sheikh mujib medical University)
The Uneven Future of Evidence-Based Medicine
An Apple ResearchKit study enrolled 22,000 people in five days. A
study claims that Twitter can be used to identify depressed patients. A computer program crunches genomic data, the published literature, and electronic health record data to guide cancer treatment. The pace, the data sources, and the methods for generating medical evidence are changing radically. What will — what should — evidence-based medicine look like in a faster, personalized, data-dense tomorrow?
- Presented as the 3rd Annual Cochrane Lecture, October 2015 in Vienna, Austria.
Data Display and Summary
This document provides an overview of key concepts in data display and summary, biostatistics, and descriptive statistics. It defines data, statistics, vital statistics, biostatistics, descriptive statistics, inferential statistics, primary and secondary data, variables, categories of data, quantitative and qualitative data, measures of central tendency, measures of dispersion, and other statistical terminology. It also gives examples to illustrate concepts like mean, median, mode, range, variance, and standard deviation.
Bioststistic mbbs-1 f30may
This document provides an overview of biostatistics including:
1. Biostatistics applies statistical tools to biological and medical data. It includes descriptive and inferential statistics.
2. Descriptive statistics summarize data while inferential statistics make inferences beyond the available data.
3. Key concepts in biostatistics include variables, populations, samples, and measures of central tendency (mean, median, mode) and dispersion (range, standard deviation).
4. Biostatistics is important in medicine for research, diagnosis, treatment and public health applications like determining disease patterns.
data analysis in Statistics-2023 guide 2023
- Statistics is the science of collecting, analyzing, interpreting, presenting, and organizing data. It is used across various fields including physics, business, social sciences, and healthcare.
- There are two main branches of statistical analysis: descriptive statistics, which summarizes and describes data, and inferential statistics, which draws conclusions about populations based on samples.
- Key concepts include populations, samples, parameters, statistics, and the differences between descriptive and inferential analysis. Measures of central tendency like the mean, median, and mode are used to describe data, while measures of variation like the range, variance, and standard deviation quantify how spread out the data is.
Mathematical statistics i
Introduction to Mathematical Statistics-Statistical Data-Types of Data-Primary Data-Secondary Data-Frequency Distribution-Graphical Representation
Biostatistics for Biological Data Analysis.pptx
This document provides an overview of biostatistics topics to be covered in a course at Haramaya University. It discusses descriptive versus inferential statistics, data types, research design concepts like sampling and sample size determination, biological data analysis techniques, and experimental designs. The introduction defines statistics and its key components like populations, samples, parameters, and statistics. It also distinguishes descriptive statistics, which summarize sample data, from inferential statistics, which make conclusions about populations.
Data Display and Summary
This document provides an overview of key concepts in biostatistics including data display and summary. It defines different types of data, variables, and statistical measures. Descriptive statistics like mean, median and mode are used to summarize central tendencies, while measures like range, variance and standard deviation describe data dispersion. Various graphs including histograms, boxplots and stem-and-leaf plots are discussed as tools for data visualization.
Introduction to nursing Statistics.pptx
This document provides an overview of key concepts in nursing statistics. It begins by outlining the course objectives, which are to develop statistical literacy, analyze nursing literature, and critically evaluate different statistical methods. It then defines different statistical terms and concepts, including the different types of data, measures of central tendency, variability, and correlation. Examples are provided to illustrate these statistical techniques. The document serves to introduce nursing students to important foundational knowledge in statistics for analyzing nursing research.
introduction to statistical theory
This document provides an introduction to statistical theory. It discusses why statistics are studied and defines key statistical concepts such as populations, samples, parameters, statistics, descriptive statistics, inferential statistics, and the different types of data and variables. It also covers experimental design, methods for collecting data such as surveys and sampling, and different sampling methods like random, stratified, cluster, and systematic sampling.
Bio-Statistics in Bio-Medical research
This document discusses key concepts in biostatistics used in biomedical research. It covers topics like types of variables, measures of central tendency and dispersion, distributions of data, statistical tests for different situations, hypotheses testing and errors, measures of association, diagnostic tests, and regression analysis. Understanding biostatistics is important for evidence-based medicine and improving patient lives through rigorous research. Sample size, confidence intervals, and avoiding bias and confounding are important considerations in study design and interpretation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Biometry for 2015.ppt
1. This document provides an overview of a course on advanced biometrics that includes topics like experimental design, data analysis, quantitative genetics, and statistical concepts.
2. It discusses different types of genetic studies including qualitative, molecular, and quantitative genetics. Quantitative genetics deals with inheritance of traits that can be measured and are influenced by many genes and the environment.
3. The document emphasizes the importance of quantitative genetics for studying economically important traits in crops, livestock, and other organisms. It also explains how quantitative genetics is useful for evolution, population, and selection studies.
SYRCLE_Hooijmans mini symposium sr animal studies 30082012
The document discusses the steps required to perform a systematic review of animal studies. It outlines that a systematic review involves 1) phrasing a clear research question, 2) defining inclusion and exclusion criteria, 3) systematically searching for all original papers on the topic, 4) selecting relevant papers, 5) assessing study quality and validity, 6) extracting data, 7) analyzing results through meta-analysis if possible, and 8) interpreting and presenting the data. The presentation focuses on how to phrase the research question, define criteria, systematically search the literature, assess study quality, and analyze results through meta-analysis to draw overall conclusions.
Biostatisitics.pptx
The document provides an overview of biostatistics and its key concepts. It discusses the objectives of biostatistical study as presenting data in a way that allows for valid interpretations. It outlines topics covered in the course including different data types, scales of measurement, data collection techniques, and the use of computers for statistical analysis. References for further learning are also provided.
Research & medicine
This document discusses key concepts related to research, medicine, health, and the research process. It defines research as the systematic investigation and study of materials to establish facts and reach new conclusions. Knowledge is what is believed to be true about something, while facts are just data. Medicine is defined as the diagnosis, treatment, and prevention of disease. The research process involves identifying a problem, reviewing literature, developing a study design, collecting and analyzing data, and disseminating findings. Ethical considerations and developing a capable research team are also discussed.
Similar to DATA ANALYSIS OF BIOSTATISTICS.pptx (20)
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
Descriptive Statistics: Mean, Median Mode and Standard Deviation.
SYRCLE_Hooijmans mini symposium sr animal studies 30082012
SYRCLE_Hooijmans mini symposium sr animal studies 30082012
More from CHIRANTANMONDAL2
eukaryotik dna elongation.pptx
During DNA elongation, DNA polymerase adds complementary DNA nucleotides to the 3' end of a newly synthesized strand using the template strand as a guide. On the lagging strand, DNA polymerase can only synthesize DNA in the 5' to 3' direction, so Okazaki fragments are formed that later need to be joined together. In contrast, the leading strand is synthesized continuously because DNA polymerase can add nucleotides to the 3' end that is open for elongation as the replication fork moves along.
DNA IS GENETIC METERIAL.pptx
This document summarizes three key experiments in the discovery of DNA as the genetic material:
- In 1927, Frederick Griffith discovered the "transforming principle" through experiments showing that living bacteria could be transformed from harmless to virulent.
- In 1944, Avery, Macleod and McCarty treated bacteria with enzymes that broke down proteins, RNA and DNA, finding that only treatment with DNAses inhibited bacterial transformation, proving DNA was the genetic material.
- In 1952, Hershey and Chase used radioactive labeling to show that DNA, not protein, entered bacteria during viral infection, confirming DNA as the hereditary material.
DNA IS GENETIC MATERIAL(Experimental Proof).pptx
DNA is the genetic material that is passed from parents to offspring and determines characteristics. This was proven through experiments like Frederick Griffith's 1928 experiment on bacterial transformation showing genetic material could be transferred, and experiments by Avery, Macleod and McCarty in 1944 and Hershey and Chase in 1952 that directly demonstrated DNA was the molecule transformed during bacterial infection that affected traits.
DNA Repair Mechanism And Their Types .pptx
DNA repair is the process by which damaged DNA is corrected. DNA cannot replace itself if damaged, and unrepaired DNA can lead to cancer. There are several mechanisms of DNA repair: direct reversal, excision repair, mismatch repair, and double-stranded break repair. DNA repair is crucial because it prevents unrepaired DNA damage from causing mutations that can lead to cancer.
DNA REPAIR MECHANISM AND THEIR TYPES.pptx
There are five major DNA repair pathways that cells use to repair different types of DNA damage: base excision repair, nucleotide excision repair, mismatch repair, homologous recombination, and non-homologous end joining. These pathways repair damage caused by mismatches during replication, removal of damaged bases, single-strand breaks, double-strand breaks, and DNA cross-links. Nucleotide excision repair removes a variety of lesions that cause distortions to the DNA structure by cleaving segments of DNA containing damage.
DNA STRUCTURE AND TYPES .pptx
DNA is a double-stranded molecule composed of nucleotides that contain nitrogenous bases, a deoxyribose sugar, and a phosphate group. The bases on one strand form hydrogen bonds with complementary bases on the other strand to form the sides of the DNA ladder. The structure of DNA was discovered by Watson and Crick who proposed a double helix model with the bases forming rungs and the sugar-phosphate backbones forming the sides. There are different conformations of DNA including A-DNA, B-DNA, and Z-DNA which differ in their structural features such as helical sense, base pair orientation, and distance between base pairs.
TOPIC- DIFFERENT TYPES OF RNA, THEIR SYNTHESIS AND STRUCTURE.pptx
There are three main types of RNA: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). mRNA carries DNA's message to direct protein synthesis, is short-lived, and single-stranded. tRNA is small and stable, carrying amino acids to the ribosome. rRNA composes most of the ribosome's mass, ensuring proper alignment of mRNA, tRNA, and ribosomes during protein synthesis.
PROKARYOTS DNA REPLICATION.pptx
This document summarizes prokaryotic DNA replication. It describes prokaryotic replication as the process by which a circular, double-stranded DNA molecule in prokaryotic cells is copied to produce two identical molecules. The key steps are initiation at a single origin of replication, elongation of DNA strands by DNA polymerases, and termination resulting in two circular chromosomes. The replication occurs rapidly in the cytoplasm and requires enzymes including DNA polymerases I and III.
Lac Operon System(Catabolite Repression).pptx
The document describes the lac operon system in E. coli for lactose catabolism. It explains that when glucose is absent and lactose is present, allolactose acts as an inducer by binding to the lac repressor and allowing RNA polymerase to transcribe the lac genes encoding β-galactosidase and other proteins for lactose metabolism. However, when glucose is present, even if lactose is also present, transcription is repressed due to low cAMP levels inhibiting the CAP-cAMP complex from activating transcription.
DNA POLYMERASE.pptx
There are five different DNA dependent DNA polymerases in E. coli bacteria: DNA polymerase I, II, III, IV and V. DNA polymerase III is the primary enzyme involved in DNA replication, forming a high-speed, high-fidelity multiprotein complex. DNA polymerases IV and V are Y-family polymerases that replicate damaged DNA with lower fidelity than polymerase III. DNA polymerases I and II serve backup roles in DNA repair through their exonuclease activities when the template is damaged.
DNA POLYMERASE AND RNA POLYMERASE.pptx
DNA polymerase is an enzyme that reads existing DNA strands as templates and creates two new strands through phosphodiester bond formation. It was first discovered in E. coli by Arthur Kornberg. DNA polymerase has a structure resembling an open right hand with palm, finger, and thumb domains that each perform different functions in nucleotide recognition and binding. RNA polymerase is a multi-subunit enzyme responsible for copying DNA sequences into RNA during transcription from 5' to 3'. It contains alpha, beta, and sigma subunits that play various roles in binding to promoter regions and catalytic activity.
PROKARYOTIC DNA REPLICATION .pptx
Prokaryotic DNA replication begins at the origin of replication and proceeds bidirectionally. It involves three main steps: initiation, elongation, and termination. Initiation begins at the origin of replication site, where proteins bind and unwind the DNA. Elongation then uses DNA polymerase III to simultaneously synthesize the leading and lagging strands. Termination occurs when the replication forks from opposite directions meet at the termination site and halt, resolving issues through proteins like TUS and topoisomerases.
Prokaryotic DNA replication.pptx
Prokaryotic DNA replication begins at the origin of replication site where the replication fork is formed. DnaA and other proteins recognize the origin site and unwind the DNA double helix. RNA primers are synthesized which allows DNA polymerase III to begin bidirectional DNA synthesis of the leading and lagging strands. Okazaki fragments are formed and ligated on the lagging strand. Replication terminates when the replication forks meet at the termination site and the daughter chromosomes are separated.
DNA repair mechanism and their types.pptx
DNA repair is a collection of processes cells use to identify and correct damage to DNA. There are several types of DNA repair mechanisms, including direct repair, base excision repair, mismatch repair, recombination repair, and SOS repair. DNA repair has advantages of maintaining genetic integrity between generations and preserving individual health, but defects can lead to increased cancer risks and premature aging syndromes.
TOPIC NAME Structure of DNA and their Type.pptx
DNA has a double helix structure that resembles a twisted ladder. It is composed of nucleotides, each containing a sugar, phosphate group, and one of four nitrogen bases (A, T, C, or G). The bases on opposite strands bond together via hydrogen bonds between A-T and C-G to form the structure. Erwin Chargaff discovered that the amounts of A and T are equal, as are the amounts of C and G in any DNA sample. There are three types of DNA structures: A-DNA, B-DNA, and Z-DNA.
LAC OPERON SYSTEM.pptx
The document describes the lac operon system, which was the first operon described in 1961 and controls the catabolism of lactose in prokaryotes. The lac operon has 5 structural units - a promoter, operator, three structural genes (LacZ, LacY, LacA) that encode enzymes for lactose breakdown, CAP binding sites, and a regulatory gene. When lactose is absent, a repressor protein binds to the operator, preventing transcription of the structural genes. When lactose is present, it binds to the repressor and causes a conformational change that releases it from the operator, allowing transcription and the breakdown of lactose.
LAC OPERON 2.pptx
The lac operon is a cluster of three genes in prokaryotes that are involved in processing the sugar lactose. It consists of a promoter, operator, and structural genes. The lac operon is inducible, meaning it is only transcribed when lactose is present. Depending on whether lactose and glucose are present or absent, the lac operon will be either actively transcribed or transcriptionally inactive.
DNA STRUCTURE AND TYPES.pptx
DNA is a double-stranded molecule composed of nucleotides that contain nitrogenous bases, a deoxyribose sugar, and a phosphate group. The bases--cytosine, thymine, adenine, and guanine--form rungs of a twisted ladder structure, while the alternating sugar and phosphate molecules form the sides. Watson and Crick discovered that the bases pair up specifically through hydrogen bonds to form the DNA double helix, which contains the genetic information needed to build an organism. DNA can take on different secondary structures including A-DNA, B-DNA, and Z-DNA forms.
TOPIC-DNA repair mechanism and their types.pptx
DNA repair mechanisms are necessary to correct damage to DNA that could otherwise lead to mutations and cancer. There are several types of DNA repair mechanisms that address different types of damage, including base repair through excision, resynthesis and ligation of bases, nucleotide excision repair to address mismatches, and mismatch repair to fix errors. Double stranded breaks can be repaired through non-homologous end joining or homologous recombination repair.
More from CHIRANTANMONDAL2 (20)
TOPIC- DIFFERENT TYPES OF RNA, THEIR SYNTHESIS AND STRUCTURE.pptx
TOPIC- DIFFERENT TYPES OF RNA, THEIR SYNTHESIS AND STRUCTURE.pptx
Recently uploaded
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
Temple of Asclepius in Thrace. Excavation results
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
A Visual Guide to 1 Samuel | A Tale of Two Hearts
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Benner "Expanding Pathways to Publishing Careers"
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
Practical manual for National Examination Council, Nigeria.
Contains guides on answering questions on the specimens provided
A Free 200-Page eBook ~ Brain and Mind Exercise.pptx
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin 🙏🤓🤔🥰
How Barcodes Can Be Leveraged Within Odoo 17
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...Nguyen Thanh Tu Collection
https://app.box.com/s/tacvl9ekroe9hqupdnjruiypvm9rdaneمصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
مصحف أحرف الخلاف للقراء العشرةأعد أحرف الخلاف بالتلوين وصلا سمير بسيوني غفر الله له
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 8 - CẢ NĂM - FRIENDS PLUS - NĂM HỌC 2023-2024 (B...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 8 - CẢ NĂM - FRIENDS PLUS - NĂM HỌC 2023-2024 (B...Nguyen Thanh Tu Collection
https://app.box.com/s/nrwz52lilmrw6m5kqeqn83q6vbdp8yzpGender and Mental Health - Counselling and Family Therapy Applications and In...
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Recently uploaded (20)
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
A Free 200-Page eBook ~ Brain and Mind Exercise.pptx
A Free 200-Page eBook ~ Brain and Mind Exercise.pptx
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
SWOT analysis in the project Keeping the Memory @live.pptx
SWOT analysis in the project Keeping the Memory @live.pptx
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 8 - CẢ NĂM - FRIENDS PLUS - NĂM HỌC 2023-2024 (B...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 8 - CẢ NĂM - FRIENDS PLUS - NĂM HỌC 2023-2024 (B...
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...
DATA ANALYSIS OF BIOSTATISTICS.pptx
- 1. DATA ANALYSIS OF BIOSTATISTICS
- 2. • What is data collection ?
- 3. The science of collecting and analyzing biological or health data using statistical methods.
- 4. • What is data analysis ? Data analysis is a process of inspecting, ,transforming, and modeling data with the goal of discovering useful information .
- 5. • How we use data analysis in Biostatistics ?
- 6. Qualitative data analysis Quantitative data analysis Primary data Secondary data Central tendency Mean Median Mode Midrange Central dispersion Range Midrange Quartiles Standard deviation Skewness Kurtosis Karl’s Pearson's equation Probability Normal distribution Binomial distribution Z score
- 7. Qualitative data analysis Quantitative data analysis
- 8. Primary data Secondary data 1. Surveys . 2. Researchers . 3. Experimental . 1. Published paper . 2. Journal . 3. Publication . 4. Website .
- 9. Central tendency Mean 2+4+5+6+7+8+10 =42/7 =6 Median 2,4,6,12,14,15 =2+4+6+12+14+15 = 6+12/2 =18/2 =9 (Even number) (Odd number) 2,4,6,10,12,14,15 2+4+6+10+12+14+15 = 10 Mode 2,4,4,5,6,7,8,9,10,4,4 =4 Midrange 8,13,10,12,20,24 =24+8/2 =32/2 =16 Mode ( With out occurrence) (3x9)-(2x6) =27-12 =15
- 10. Central dispersion Range 8,10,12,14,15,16,17 = 17-8 = 9 Midrange 8,10,12,14,15,16,17,18 = 18+8/2 =26/2 =13
- 11. Quartiles (In case of odd number) 2,4,6,8,10 =6 Q1 2,4 =2+4/2 =6/2 =3 Q3 8,10 =8+10/2 =9 (In case of even number) 2,4,6,8,10,12 = 6+8/2 =14/2 = 7 Quartile deviation 9-3/2 = 3 Median Median Q1 Q2 Q2 2,4,6 = 4 Q3 8,10,12 = 10 Quartile deviation = 10-4/2 = 6/2 = 3
- 12. Skewness
- 13. Karl’s Pearson's equation Formula : Sk = Mean – Mode/σ Here, σ = Standard deviation If mode is not occur then , Sk = 3 ( Mean- Mode ) / σ Probability 1) Classical . 2) Axiomatric . 3) Empirical . 4) Subjective . Number of favorable outcomes / Total number of entire amount of outcome .
- 15. Binomial distribution N = Number of Total trial P = Binomial probability X = Number of timer for a specific outcome with n number of trials N = number of combination
- 16. Z score A Z-score is a numerical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score