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This document discusses measures of central tendency. It defines measures of central tendency as summary statistics that represent the center point of a distribution. The three main measures discussed are the mean, median, and mode. The mean is the sum of all values divided by the total number of values. There are different types of means including the arithmetic mean, weighted mean, and geometric mean. The document provides formulas for calculating each type of mean and discusses their properties and applications.

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Basic statistics

This document discusses measures of central tendency, which provide a single value to represent the center of a data set. There are three main types: mean, median, and mode. The mean is the average and there are different types of means depending on the data, including arithmetic mean and weighted mean. The median is the middle value of the data when sorted. The mode is the most frequently occurring value. Calculating these measures allows analysis and comparison of data sets.

Statistics digital text book

This document provides an overview of key concepts in statistics including measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation), and central moments (skewness, kurtosis). It discusses calculating and comparing the mean, median, mode, and how they each describe the central position of a data distribution. It also explains how variance and standard deviation measure how spread out the data is from the mean. The document is intended as a textbook for students and general readers to learn basic statistical concepts.

#3Measures of central tendency

Central tendency of data is defined as the tendency of data to concentrate around some central value. here all the measures of central tendency have been explained such as mean, arithmetic mean, geometric mean, harmonic mean, mode, and median with examples.

Average.pptx

This document provides an introduction to different types of averages, including arithmetic mean, median, and mode. It discusses:
1) Arithmetic mean is calculated by adding all values and dividing by the total number of items. It can be calculated using direct or shortcut methods for individual and discrete data series.
2) Median is the middle value that divides the data set into equal halves. It is calculated by ordering the values and finding the middle one.
3) Mode is the value that occurs most frequently in the data set. It represents the peak of the frequency distribution.

S1 pn

This document discusses measures of central tendency and different methods for calculating averages. It begins by defining central tendency as a single value that represents the characteristics of an entire data set. Three common measures of central tendency are introduced: the mean, median, and mode. The document then focuses on explaining how to calculate the arithmetic mean, or average, including the direct method, shortcut method, and how it applies to discrete and continuous data series. Weighted averages are also covered. In summary, the document provides an overview of key concepts in measures of central tendency and how to calculate various types of averages.

Measures of central tendency

This document defines and explains various measures of central tendency including the mean, median, and mode. It provides definitions and formulas for calculating the arithmetic mean, geometric mean, and harmonic mean for individual, discrete, and continuous data. The key properties and uses of averages as measures of central tendency are that they provide a single representative value for a dataset, allow for brief descriptions and comparisons of data, and help inform economic policies and other statistical analyses.

Mean 1.pdf

This document provides an overview of measures of central tendency in statistics, focusing on the arithmetic mean. It defines the arithmetic mean as the sum of all values divided by the total number of items. It discusses different types of series (individual, discrete, continuous) and methods to calculate the arithmetic mean for each type, including the direct method, short-cut method, and step deviation method. The document provides examples of calculating the arithmetic mean using these different methods for an individual series of student marks.

Ch 5 CENTRAL TENDENCY.doc

This document discusses measures of central tendency, which are values used to describe the center or typical value of a data set. There are three main measures: mean, median, and mode. The mean is the average value, calculated by summing all values and dividing by the number of values. The median is the middle value when values are arranged from lowest to highest. The mode is the most frequently occurring value. The document provides formulas and examples for calculating each measure, and discusses their relative advantages and disadvantages.

Basic statistics

This document discusses measures of central tendency, which provide a single value to represent the center of a data set. There are three main types: mean, median, and mode. The mean is the average and there are different types of means depending on the data, including arithmetic mean and weighted mean. The median is the middle value of the data when sorted. The mode is the most frequently occurring value. Calculating these measures allows analysis and comparison of data sets.

Statistics digital text book

This document provides an overview of key concepts in statistics including measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation), and central moments (skewness, kurtosis). It discusses calculating and comparing the mean, median, mode, and how they each describe the central position of a data distribution. It also explains how variance and standard deviation measure how spread out the data is from the mean. The document is intended as a textbook for students and general readers to learn basic statistical concepts.

#3Measures of central tendency

Central tendency of data is defined as the tendency of data to concentrate around some central value. here all the measures of central tendency have been explained such as mean, arithmetic mean, geometric mean, harmonic mean, mode, and median with examples.

Average.pptx

This document provides an introduction to different types of averages, including arithmetic mean, median, and mode. It discusses:
1) Arithmetic mean is calculated by adding all values and dividing by the total number of items. It can be calculated using direct or shortcut methods for individual and discrete data series.
2) Median is the middle value that divides the data set into equal halves. It is calculated by ordering the values and finding the middle one.
3) Mode is the value that occurs most frequently in the data set. It represents the peak of the frequency distribution.

S1 pn

This document discusses measures of central tendency and different methods for calculating averages. It begins by defining central tendency as a single value that represents the characteristics of an entire data set. Three common measures of central tendency are introduced: the mean, median, and mode. The document then focuses on explaining how to calculate the arithmetic mean, or average, including the direct method, shortcut method, and how it applies to discrete and continuous data series. Weighted averages are also covered. In summary, the document provides an overview of key concepts in measures of central tendency and how to calculate various types of averages.

Measures of central tendency

This document defines and explains various measures of central tendency including the mean, median, and mode. It provides definitions and formulas for calculating the arithmetic mean, geometric mean, and harmonic mean for individual, discrete, and continuous data. The key properties and uses of averages as measures of central tendency are that they provide a single representative value for a dataset, allow for brief descriptions and comparisons of data, and help inform economic policies and other statistical analyses.

Mean 1.pdf

This document provides an overview of measures of central tendency in statistics, focusing on the arithmetic mean. It defines the arithmetic mean as the sum of all values divided by the total number of items. It discusses different types of series (individual, discrete, continuous) and methods to calculate the arithmetic mean for each type, including the direct method, short-cut method, and step deviation method. The document provides examples of calculating the arithmetic mean using these different methods for an individual series of student marks.

Ch 5 CENTRAL TENDENCY.doc

This document discusses measures of central tendency, which are values used to describe the center or typical value of a data set. There are three main measures: mean, median, and mode. The mean is the average value, calculated by summing all values and dividing by the number of values. The median is the middle value when values are arranged from lowest to highest. The mode is the most frequently occurring value. The document provides formulas and examples for calculating each measure, and discusses their relative advantages and disadvantages.

Empirics of standard deviation

the mean,median, mode, their uses and how reliable they can be. the upgrade from variance to standard deviation

Measures of central tendency mean

This document provides an introduction to measures of central tendency in statistics. It defines measures of central tendency as statistical measures that describe the center of a data distribution. The three most commonly used measures are the mean, median, and mode. The document focuses on explaining the arithmetic mean in detail, including how to calculate the mean from individual data series, discrete data series, and continuous data series using different methods. It also discusses weighted means, combined means, and the relationship between the mean, median and mode. The objectives and advantages and disadvantages of the mean are provided.

Topic 2 Measures of Central Tendency.pptx

This document discusses various measures of central tendency used in statistics including the mean, median, and mode. It provides definitions and formulas for calculating each measure. The mean is the average value found by summing all values and dividing by the total count. The median is the middle value when values are arranged from lowest to highest. The mode is the most frequently occurring value. The document also discusses weighted mean, geometric mean, harmonic mean, and compares the properties of each central tendency measure.

Basic of Statistical Inference Part-III: The Theory of Estimation from Dexlab...

In this 3rd segment of the basic of statistical inference series, the estimation theory, its elements, methods and characteristics have been discussed.

Measures of central tendency and dispersion

The document discusses various measures of central tendency and dispersion used in statistical analysis. It defines measures of central tendency like arithmetic mean, median and mode, and provides their formulas and properties. It also discusses measures of dispersion such as range, mean deviation, standard deviation, variance and their characteristics. The document provides examples and steps to calculate various averages and measures of dispersion for a given data set.

Mean

This document discusses the concept and calculation of the mean as a measure of central tendency. It defines the mean as the sum of all values divided by the total number of items. It provides the formula for calculating the mean from both ungrouped and grouped data, using frequency tables. It gives an example of calculating the mean from an ungrouped data set and from a grouped frequency table using midpoints. It also describes a shortcut formula that can be used to calculate the mean from grouped data. Finally, it discusses when the mean is most appropriate to use, noting that it is the most reliable measure when accuracy is needed and when further statistical analysis will be done.

Q.t

The document discusses various measures of central tendency (averages) and dispersion that are used to summarize and describe data in statistics. It defines common averages like the arithmetic mean, median, mode, harmonic mean, and geometric mean. It also covers measures of dispersion such as the range, quartile deviation, mean deviation, and standard deviation. As an example, it analyzes test score data from 5 students using the arithmetic mean to find the average score.

Central Tendency.pptx

Central tendency refers to measures that describe the center or typical value of a dataset. The three main measures of central tendency are the mean, median, and mode.
The mean is the average value found by dividing the sum of all values by the total number of values. The median is the middle value when data is arranged in order. For even datasets, the median is the average of the two middle values. The mode is the value that occurs most frequently in the dataset.

Topic 2 Measures of Central Tendency.pptx

The modal rating is the rating value that occurs most frequently in the dataset. To find the mode, we would need to analyze the rating frequencies and identify which rating has the highest count. Without access to the actual dataset values and frequencies, I cannot determine the modal rating directly. The mode is a measure of central tendency that is best for identifying the most common or typical value in a dataset.

A0610104

This document proposes a unified approach to refine measures of central tendency and dispersion. It defines a generalized measure of central tendency as the value that minimizes the deviation between a point and a dataset. Various common measures of central tendency like mean, median, mode, geometric mean and harmonic mean are derived as special cases of this generalized definition. The concept is extended to introduce an "interval of central tendency" and methods to estimate it. Simulation studies show the interval of central tendency can capture more observations than a single point estimate, and allow comparison of different measures. The approach is also applied to derive confidence intervals for the population mean and probability of success in Bernoulli trials.

Refining Measure of Central Tendency and Dispersion

A unified approach is attempted to bring the descriptive statistics in to a more refined frame work. Different measure of central tendencies such as arithmetic mean, median, mode, geometric mean and harmonic mean are derived from a generalized notion of a measure of central tendency developed through an optimality criteria. This generalized notion is extended to introduce the concept of an interval of central tendency. Retaining the spirit of this notion, measure of central tendency may be called point of central tendency. The same notion is further extended to obtain confidence interval for population mean in a finite population model and confidence interval for probability of success in Bernoulli population.

Mean median mode

The document discusses different measures of central tendency including the mean, median, mode, geometric mean, harmonic mean. It provides definitions and formulas for calculating each measure. The mean is the average calculated by adding all values and dividing by the number of values. The median is the middle value when values are arranged from lowest to highest. The mode is the value that occurs most frequently. The geometric mean uses multiplication and the harmonic mean uses reciprocals of values. Examples are provided to demonstrate calculating each measure.

Measure of central tendency (Mean, Median and Mode)

This tutorial explain the measure of central tendency (Mean, Median and Mode in detail with suitable working examples pictures. The tutorial also teach the excel commands for calculation of Mean, Median and Mode.

Measures of central tendancy easy to under this stats topic

Hardest stats topic made easier by me

Central Tendency - Overview

Goes with Chapter 3 of Gravetter & Wallnau textbook "Essentials of Statistics for Behavioral Sciences"

Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...

Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...BRNSS Publication Hub

This paper illustrates with an example of the comparison of the geometrical and the numerical approaches
of measures of location. A geometrical derivation of the most popular measure of location (mean) was
derived from a histogram by determining the centroid of a histogram. The numerical or mathematical
expression of the other measures of location, median and mode were derived from ogive and histogram,
respectively. Finally, the research establishes that the two approaches produce the same results.01_AJMS_18_19_RA.pdf

This document discusses different approaches to calculating measures of central tendency (location) from data. It compares the geometric approach of deriving formulas from histograms and ogives to the numerical/mathematical formula approach. Formulas for mean, median, and mode are presented and derived both geometrically and mathematically. The key findings are that the geometric approach can produce the same results as the mathematical formulas and that both approaches are useful for understanding measures of location.

01_AJMS_18_19_RA.pdf

This document discusses different approaches to calculating measures of central tendency (location) from data. It compares the geometric approach of deriving formulas from histograms and ogives to the numerical/mathematical formula approach. Formulas for mean, median, and mode are presented and derived both geometrically and mathematically. The key findings are that the geometric approach can produce the same results as the mathematical formulas and that both approaches are useful for understanding measures of location.

CH2.pdf

The document discusses measures of central tendency and summarization of data. It defines measures of central tendency as single values that describe the overall level of a data set and represent the center of the distribution. The most common measures are the mean, median, and mode. It provides formulas for calculating the arithmetic mean for samples and populations. It also introduces summation notation as a shorthand for writing sums and discusses properties of summation. Examples are provided to demonstrate calculating the mean for raw data, ungrouped data, and grouped data. The document also discusses calculating a combined mean for multiple data sets.

Ch2

The document discusses measures of central tendency and summarization of data. It defines measures of central tendency as single values that describe the overall level of a data set and represent the center of the distribution. The most common measures are the mean, median, and mode. It provides formulas for calculating the arithmetic mean for samples and populations. It also introduces summation notation as a shorthand for writing sums and discusses properties of summation. Examples are provided to demonstrate calculating the mean for raw data, ungrouped data, and grouped data. The document also discusses calculating a combined mean for multiple data sets.

Advanced Biostatistics presentation pptx

This document provides an introduction to biostatistics. It defines statistics as the collection, organization, and analysis of data to draw inferences about a sample population. Biostatistics applies statistical methods to biological and medical data. The document discusses why biostatistics is studied, including that more aspects of medicine and public health are now quantified and biological processes have inherent variation. It also covers types of data, methods of data collection like questionnaires and observation, and considerations for designing questionnaires and conducting interviews.

Regression Analysis.ppt

Regression analysis can be used to analyze the relationship between variables. A scatter plot should first be created to determine if the variables have a linear relationship required for regression analysis. A regression line is fitted to best describe the linear relationship between the variables, with an R-squared value indicating how well it fits the data. Multiple regression allows for analysis of the relationship between a dependent variable and multiple independent variables and their individual contributions to explaining the variance in the dependent variable.

Empirics of standard deviation

the mean,median, mode, their uses and how reliable they can be. the upgrade from variance to standard deviation

Measures of central tendency mean

This document provides an introduction to measures of central tendency in statistics. It defines measures of central tendency as statistical measures that describe the center of a data distribution. The three most commonly used measures are the mean, median, and mode. The document focuses on explaining the arithmetic mean in detail, including how to calculate the mean from individual data series, discrete data series, and continuous data series using different methods. It also discusses weighted means, combined means, and the relationship between the mean, median and mode. The objectives and advantages and disadvantages of the mean are provided.

Topic 2 Measures of Central Tendency.pptx

This document discusses various measures of central tendency used in statistics including the mean, median, and mode. It provides definitions and formulas for calculating each measure. The mean is the average value found by summing all values and dividing by the total count. The median is the middle value when values are arranged from lowest to highest. The mode is the most frequently occurring value. The document also discusses weighted mean, geometric mean, harmonic mean, and compares the properties of each central tendency measure.

Basic of Statistical Inference Part-III: The Theory of Estimation from Dexlab...

In this 3rd segment of the basic of statistical inference series, the estimation theory, its elements, methods and characteristics have been discussed.

Measures of central tendency and dispersion

The document discusses various measures of central tendency and dispersion used in statistical analysis. It defines measures of central tendency like arithmetic mean, median and mode, and provides their formulas and properties. It also discusses measures of dispersion such as range, mean deviation, standard deviation, variance and their characteristics. The document provides examples and steps to calculate various averages and measures of dispersion for a given data set.

Mean

This document discusses the concept and calculation of the mean as a measure of central tendency. It defines the mean as the sum of all values divided by the total number of items. It provides the formula for calculating the mean from both ungrouped and grouped data, using frequency tables. It gives an example of calculating the mean from an ungrouped data set and from a grouped frequency table using midpoints. It also describes a shortcut formula that can be used to calculate the mean from grouped data. Finally, it discusses when the mean is most appropriate to use, noting that it is the most reliable measure when accuracy is needed and when further statistical analysis will be done.

Q.t

The document discusses various measures of central tendency (averages) and dispersion that are used to summarize and describe data in statistics. It defines common averages like the arithmetic mean, median, mode, harmonic mean, and geometric mean. It also covers measures of dispersion such as the range, quartile deviation, mean deviation, and standard deviation. As an example, it analyzes test score data from 5 students using the arithmetic mean to find the average score.

Central Tendency.pptx

Central tendency refers to measures that describe the center or typical value of a dataset. The three main measures of central tendency are the mean, median, and mode.
The mean is the average value found by dividing the sum of all values by the total number of values. The median is the middle value when data is arranged in order. For even datasets, the median is the average of the two middle values. The mode is the value that occurs most frequently in the dataset.

Topic 2 Measures of Central Tendency.pptx

The modal rating is the rating value that occurs most frequently in the dataset. To find the mode, we would need to analyze the rating frequencies and identify which rating has the highest count. Without access to the actual dataset values and frequencies, I cannot determine the modal rating directly. The mode is a measure of central tendency that is best for identifying the most common or typical value in a dataset.

A0610104

This document proposes a unified approach to refine measures of central tendency and dispersion. It defines a generalized measure of central tendency as the value that minimizes the deviation between a point and a dataset. Various common measures of central tendency like mean, median, mode, geometric mean and harmonic mean are derived as special cases of this generalized definition. The concept is extended to introduce an "interval of central tendency" and methods to estimate it. Simulation studies show the interval of central tendency can capture more observations than a single point estimate, and allow comparison of different measures. The approach is also applied to derive confidence intervals for the population mean and probability of success in Bernoulli trials.

Refining Measure of Central Tendency and Dispersion

A unified approach is attempted to bring the descriptive statistics in to a more refined frame work. Different measure of central tendencies such as arithmetic mean, median, mode, geometric mean and harmonic mean are derived from a generalized notion of a measure of central tendency developed through an optimality criteria. This generalized notion is extended to introduce the concept of an interval of central tendency. Retaining the spirit of this notion, measure of central tendency may be called point of central tendency. The same notion is further extended to obtain confidence interval for population mean in a finite population model and confidence interval for probability of success in Bernoulli population.

Mean median mode

The document discusses different measures of central tendency including the mean, median, mode, geometric mean, harmonic mean. It provides definitions and formulas for calculating each measure. The mean is the average calculated by adding all values and dividing by the number of values. The median is the middle value when values are arranged from lowest to highest. The mode is the value that occurs most frequently. The geometric mean uses multiplication and the harmonic mean uses reciprocals of values. Examples are provided to demonstrate calculating each measure.

Measure of central tendency (Mean, Median and Mode)

This tutorial explain the measure of central tendency (Mean, Median and Mode in detail with suitable working examples pictures. The tutorial also teach the excel commands for calculation of Mean, Median and Mode.

Measures of central tendancy easy to under this stats topic

Hardest stats topic made easier by me

Central Tendency - Overview

Goes with Chapter 3 of Gravetter & Wallnau textbook "Essentials of Statistics for Behavioral Sciences"

Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...

Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...BRNSS Publication Hub

This paper illustrates with an example of the comparison of the geometrical and the numerical approaches
of measures of location. A geometrical derivation of the most popular measure of location (mean) was
derived from a histogram by determining the centroid of a histogram. The numerical or mathematical
expression of the other measures of location, median and mode were derived from ogive and histogram,
respectively. Finally, the research establishes that the two approaches produce the same results.01_AJMS_18_19_RA.pdf

This document discusses different approaches to calculating measures of central tendency (location) from data. It compares the geometric approach of deriving formulas from histograms and ogives to the numerical/mathematical formula approach. Formulas for mean, median, and mode are presented and derived both geometrically and mathematically. The key findings are that the geometric approach can produce the same results as the mathematical formulas and that both approaches are useful for understanding measures of location.

CH2.pdf

The document discusses measures of central tendency and summarization of data. It defines measures of central tendency as single values that describe the overall level of a data set and represent the center of the distribution. The most common measures are the mean, median, and mode. It provides formulas for calculating the arithmetic mean for samples and populations. It also introduces summation notation as a shorthand for writing sums and discusses properties of summation. Examples are provided to demonstrate calculating the mean for raw data, ungrouped data, and grouped data. The document also discusses calculating a combined mean for multiple data sets.

Ch2The document discusses measures of central tendency and summarization of data. It defines measures of central tendency as single values that describe the overall level of a data set and represent the center of the distribution. The most common measures are the mean, median, and mode. It provides formulas for calculating the arithmetic mean for samples and populations. It also introduces summation notation as a shorthand for writing sums and discusses properties of summation. Examples are provided to demonstrate calculating the mean for raw data, ungrouped data, and grouped data. The document also discusses calculating a combined mean for multiple data sets.

Empirics of standard deviation

Empirics of standard deviation

Measures of central tendency mean

Measures of central tendency mean

Topic 2 Measures of Central Tendency.pptx

Topic 2 Measures of Central Tendency.pptx

Basic of Statistical Inference Part-III: The Theory of Estimation from Dexlab...

Basic of Statistical Inference Part-III: The Theory of Estimation from Dexlab...

Measures of central tendency and dispersion

Measures of central tendency and dispersion

Mean

Mean

Q.t

Q.t

Central Tendency.pptx

Central Tendency.pptx

Topic 2 Measures of Central Tendency.pptx

Topic 2 Measures of Central Tendency.pptx

A0610104

A0610104

Refining Measure of Central Tendency and Dispersion

Refining Measure of Central Tendency and Dispersion

Mean median mode

Mean median mode

Measure of central tendency (Mean, Median and Mode)

Measure of central tendency (Mean, Median and Mode)

Measures of central tendancy easy to under this stats topic

Measures of central tendancy easy to under this stats topic

Central Tendency - Overview

Central Tendency - Overview

Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...

Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...

01_AJMS_18_19_RA.pdf

01_AJMS_18_19_RA.pdf

01_AJMS_18_19_RA.pdf

01_AJMS_18_19_RA.pdf

CH2.pdf

CH2.pdf

Ch2

Ch2

Advanced Biostatistics presentation pptx

This document provides an introduction to biostatistics. It defines statistics as the collection, organization, and analysis of data to draw inferences about a sample population. Biostatistics applies statistical methods to biological and medical data. The document discusses why biostatistics is studied, including that more aspects of medicine and public health are now quantified and biological processes have inherent variation. It also covers types of data, methods of data collection like questionnaires and observation, and considerations for designing questionnaires and conducting interviews.

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Regression analysis can be used to analyze the relationship between variables. A scatter plot should first be created to determine if the variables have a linear relationship required for regression analysis. A regression line is fitted to best describe the linear relationship between the variables, with an R-squared value indicating how well it fits the data. Multiple regression allows for analysis of the relationship between a dependent variable and multiple independent variables and their individual contributions to explaining the variance in the dependent variable.

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A note on Networking

一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理

原版制作【微信:41543339】【(Unimelb毕业证书)墨尔本大学毕业证】【微信:41543339】《成绩单、外壳、雅思、offer、留信学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同进口机器一比一制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理

原版办【微信号:BYZS866】【兰加拉学院毕业证(Langara毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

The Ipsos - AI - Monitor 2024 Report.pdf

According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.

办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样

原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

一比一原版(UO毕业证)渥太华大学毕业证如何办理

原件一模一样【微信：95270640】【渥太华大学毕业证UO学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理渥太华大学毕业证UO学位证毕业证offer【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理渥太华大学毕业证毕业证offerUO学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

writing report business partner b1+ .pdf

writing report business partner b1+ .pdf

STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...

"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."

一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理

原版办【微信号:BYZS866】【英属哥伦比亚大学毕业证(UBC毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...

Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627

一比一原版(CU毕业证)卡尔顿大学毕业证如何办理

原件一模一样【微信：95270640】【卡尔顿大学毕业证CU学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理卡尔顿大学毕业证本科学位证成绩单CU学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理卡尔顿大学毕业证CU学位证本科学位证成绩单【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理卡尔顿大学毕业证本科学位证成绩单CU学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理卡尔顿大学毕业证本科学位证成绩单CU学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

原版一比一多伦多大学毕业证(UofT毕业证书)如何办理

原版制作【微信:41543339】【多伦多大学毕业证(UofT毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake

Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...

This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!

一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理

毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理

毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...

The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.

Population Growth in Bataan: The effects of population growth around rural pl...

A population analysis specific to Bataan.

在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样

学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
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- 1. CHAPTER MEASURES OF CENTERAL TENDENCY Objectives At the end of this chapter students will be able to: identify types of measure of central tendency define and calculate the mean, mode, median, with their interpretation the result. summarize an aggregate of statistical data by using single measure and make comparison 3.1 Introduction and objectives of measures of central tendency When we want to make comparison between a groups of number it is good to have a single value that is considered to be a good representative of each group. This single value is called the average of the group. Averages are also called measures of central tendency A measure of central tendency (measures of center or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or center of its distribution.
- 2. Conti. Summery Statistic that Represent center point. Measure of central tendency are single value around which a large number of values of distribution are condensed in the center of the distribution(These measures indicate where most values in a distribution fall) 3.2.2 objective of central tendency To get single value that describes the characteristics of the entire population To facilitate group compression For further statistical studies
- 3. Conti… 3.3. General characteristics of measure of central tendency It should be based on all observation It should be as little as affected by extreme observations It should be defined rigidly(have definite value) 3.4. The summation Notation( ) The symbol is used mathematical short hand for operation addition to denote “the sum of” suppose you have 𝑛 observation 𝑥1,𝑥2,…𝑥𝑛 then the sum 𝑥1 +𝑥2 +,…+𝑥𝑛 can be written as 𝑖 𝑛 𝑥𝑖 and read as the sum of all 𝑥𝑖, 𝑖 = 1,2,….,𝑛
- 4. Properties of summation 𝑖 𝑛 𝑘 = 𝑛 ∗ 𝑘 , where k is any constant 𝑖 𝑛 𝑘𝑋𝑖 = 𝑘 𝑖 𝑛 𝑋𝑖 , where k is any constant 𝑖 𝑛 𝑎 + 𝑏𝑋𝑖 = 𝑎𝑛 + 𝑏 𝑖 𝑛 𝑋𝑖 , where a and b are any constant 𝑖 𝑛 𝑋𝑖 + 𝑌𝑖 = 𝑖 𝑛 𝑋𝑖 + 𝑖 𝑛 𝑌𝑖 𝑖 𝑛 𝑋𝑖 ∗ 𝑌𝑖 ≠ 𝑖 𝑛 𝑋𝑖 ∗ 𝑖 𝑛 𝑌𝑖 Types of Measures of Central Tendency There are Three different measures of central tendency; each has its advantage and disadvantage. The Mean (Arithmetic, Geometric, Weighted and Harmonic) The Mode The Median
- 5. Mean a) Arithmetic Mean Is defined as the sum of the magnitude of the items divided by the number of items Is denoted by A.M or 𝑋 𝑋 = 𝑥1+𝑥2+𝑥3,…….𝑥𝑛 𝑛 = 𝑖=1 𝑛 𝑋𝑖 𝑛 The mean of 𝑋, if 𝑥1 occurs 𝑛1 times, 𝑥2 occurs 𝑛2 times, and 𝑥𝑛 occurs 𝑓𝑛 times then The mean will be 𝑥 = 𝑖=1 𝑛 𝑓𝑖𝑥𝑖 𝑓𝑖 Example: obtain the mean of the following number 2,7,8,2,7,3,7 Solution:
- 6. Arithmetic mean for grouped data If data are given in the shape of a continuous frequency distribution, then the mean is obtained as follows The mean will be 𝑥 = 𝑖=1 𝑘 𝑓𝑖𝑥𝑖 𝑖 𝑘 𝑓𝑖 ,where 𝑥𝑖 the class mark of the 𝑖𝑡ℎ class,𝑓𝑖 the frequency of the 𝑖𝑡ℎ class
- 7. Special properties of arithmetic mean 1. The sum of deviation a set of items from their mean is always zero. i.e. 𝑖 𝑛 𝑋𝑖 − 𝑋 = 0 2. The sum of the squared deviations of a set of items from their mean is the minimum i.e. 𝑖 𝑛 𝑋𝑖 − 𝑋 2 < 𝑋𝑖 − 𝐴 2 , 𝐴 ≠ 𝑋 3. If 𝑋1 is the mean of 𝑛1 observation, if 𝑋2 is the mean of 𝑛2 observations,…if 𝑋𝑘 is the mean of 𝑛𝑘 observations, then then the mean of all observation in all groups often called the combined mean is given by: 𝑋𝑐 = 𝑋1𝑛1+𝑋2𝑛2+⋯𝑋𝑘𝑛𝑘 𝑛1+𝑛2+⋯𝑛𝑘 = 𝑖 𝑘 𝑋𝑖𝑛𝑖 𝑖 𝑘 𝑛𝑖
- 8. Conti.. 4. if wrong figure has been used when calculating the mean of the correct mean can be obtained with out repeating the whole processes Correct mean = wrong mean + 𝑐𝑜𝑟𝑟𝑒𝑐𝑡 𝑣𝑎𝑙𝑢𝑒 −𝑤𝑟𝑜𝑛𝑔 𝑣𝑎𝑙𝑢𝑒 𝑛 Where n is total number of observations.
- 9. Conti. Example: an average weight of 10 students was calculated to be 65. later on it was discovered that one weight was misread as 40 instead 80kg. Calculate the correct average weight 5. The effect of transforming original series on the mean. a) If constant k is added/subtract to or from every observation then the new mean will be the 𝑋𝑚𝑒𝑎𝑛 ± 𝑘 respectively b) If every observations are multiplied by a constant 𝑘 then the new mean will be 𝑘 ∗ 𝑜𝑙𝑑 𝑚𝑒𝑎𝑛
- 10. Conti… b) weighted arithmetic mean While calculating simple arithmetic mean, all item were assumed to be equally importance(each value in the data set has equal weight). When the observation are different weight we use weighted average. Weights are assumed to each item in proportion to items relative importance. If 𝑥1, 𝑥2,…..,𝑥𝑛 represents value of item, and 𝑤1 ,𝑤2,…., 𝑤𝑛 are the corresponding weights, then the weighted mean,(𝑥𝑤) given by (𝑥𝑤) = 𝑥1𝑤1+𝑥2𝑤2+,…..,𝑥𝑛𝑤𝑛 𝑤1+𝑤2+,….,𝑤𝑛 = 𝑖 𝑛 𝑥𝑖𝑤𝑖 𝑖 𝑛 𝑤𝑖
- 11. Conti.. Merits and demerits of arithmetic mean Merits: Its based on all observation. It is suitable for further mathematical treatment It is stable average, i.e. Its not affected by fluctuation of sampling It is easy to calculate and simple to understand
- 12. Conti… Demerits: Its affected by extreme observations Its can not be used in the case of open ended classes It can not be used when dealing with qualitative characteristics, such as beauty. Geometric mean The geometric mean like arithmetic mean is calculated average. It is used when observed values are measured as ratios, percentages, proportions, or growth rates.