National Statistics Day

📊National Statistics Day Celebration! :Unlocking the Power of Data 💹

🌹🌹 We come together today to recognize the significance of data and how it has impacted our lives in observance of National Statistics Day. Let's embrace the essential role that statistics play in influencing our world as we explore into the world of numbers, charts, and trends. Every year on June 29, National Statistics Day is observed to recognize the late Professor Prasanta Chandra Mahalanobis' exceptional contributions to the field of statistics. His pioneering work in the field of statistics has revolutionized how people interpret and analyse data worldwide in addition to advancing India's statistical system.

The fundamental tenet of National Statistics Day is a straightforward but profound notion: knowledge obtained from precise, trustworthy, and thorough statistics has the ability to advance science, guide public policy, and transform civilizations. Our economy, social structure, and environment are all impacted Statistics act as a unifying force in our quest for a brighter future in a linked society driven by knowledge. They are the universal language that crosses boundaries. Statistics work as our compass, directing us towards well-informed actions and practical answers, whether we are tracking economic growth, evaluating public health, tackling climate change, or figuring out demographic patterns. by statistics, which are the foundation of evidence-based decision-making.

Statistics also promote openness, allowing us to hold institutions, organizations, and governments responsible. They enlighten us about injustices, discrepancies, and new trends, enabling us to promote change and work towards a more just society. Statistics enable individuals, governments, and academics to create positive change by illuminating the complexities of our shared reality.

🔎 Let's honour the unsung heroes who painstakingly gather, analyse, and interpret statistics as we observe National Statistics Day. To ensure the accuracy and dependability of the data we rely on, these statisticians and data scientists put in many hours of labour behind the scenes. We can explore unexplored information, make informed judgments, and unleash the full potential of data-driven innovation thanks to their knowledge.

National Statistics Day is a good opportunity to reflect on the opportunities and problems that still lie ahead in this age of big data. To maximize the value of data while protecting privacy, security, and ethical issues, we must adopt cutting-edge technology and approaches. We can develop narratives that resonate with people by fusing the art of storytelling with the science of mathematics. This will enable them to comprehend difficult challenges and actively participate in determining their future.

The COVID-19 epidemic has also highlighted the crucial role statistics play in public health and crisis management. It has been possible to monitor the virus's spread, foresee its effects, and implement practical safety precautions thanks to the use of data and statistical modelling. National Statistics Day honours the tenacity and adaptability of statisticians who have been instrumental in the fight against the pandemic.

Every year, Statistics Day is celebrated with a theme of contemporary national importance. The theme of Statistics Day, 2023 is “Alignment of State Indicator Framework with National Indicator Framework for Monitoring Sustainable Development Goals”.

Let's join today to commemorate National Statistics Day and recognize the enormous influence that statistics has on our lives. Let's recognize the crucial function numbers play in solving riddles, guiding policies, and promoting advancement. By exploring the power of data, we guide the world towards a future that is happier, more prosperous, and more inclusive.

💐 Happy National Statistics Day 💐💐🥰

Comments

Statistical Inference II Notes

Likelihood Ratio Test

Statistical Inference: Basic Terms and Definitions.

📚📖 Statistical Inference: Basic Terms. The theory of estimation is of paramount importance in statistics for several reasons. Firstly, it allows researchers to make informed inferences about population characteristics based on limited sample data. Since it is often impractical or impossible to measure an entire population, estimation provides a framework to generalize findings from a sample to the larger population. By employing various estimation methods, statisticians can estimate population parameters such as means, proportions, and variances, providing valuable insights into the population's characteristics. Second, the theory of estimating aids in quantifying the estimates' inherent uncertainty. Measures like standard errors, confidence intervals, and p-values are included with estimators to provide an idea of how accurate and reliable the estimates are. The range of possible values for the population characteristics and the degree of confidence attached to those est...

B. Com. -I Statistics Practical No. 1 Classification, tabulation and frequency distribution –I: Qualitative data.

Shree GaneshA B. Com. Part – I: Semester – I OE–I Semester – I (BASIC STATISTICS PRACTICAL-I) Practical: 60 Hrs. Marks: 50 (Credits: 02) Course Outcomes: After completion of this practical course, the student will be able to: i) apply sampling techniques in real life. ii) perform classification and tabulation of primary data. iii) represent the data by means of simple diagrams and graphs. iv) summarize data by computing measures of central tendency. LIST OF PRACTICALS: 1. Classification, tabulation and frequency distribution –I: Qualitative data. 2. Classification, tabulation and frequency distribution –II : Quantitative data. 3. Diagrammatic representation of data by using Pie Diagram and Bar Diagrams. 4. Graphical representation of data by using Histogram, Frequency Polygon, Frequency Curve and Locating Modal Value. 5. Graphical representation of data by using Ogive Curves and Locating Quartile Values....

Index Number

Index Number Introduction We seen in measures of central tendency the data can be reduced to a single figure by calculating an average and two series can be compared by their averages. But the data are homogeneous then the average is meaningful. (Data is homogeneous means data in same type). If the two series of the price of commodity for two years. It is clear that we cannot compare the cost of living for two years by using simple average of the price of the commodities. For that type of problem we need type of average is called Index number. Index number firstly defined or developed to study the effect of price change on the cost of living. But now days the theory of index number is extended to the field of wholesale price, industrial production, agricultural production etc. Index number is like barometers to measure the change in change in economics activities. An index may be defined as a " specialized average designed to measure the...

B. Com. I Practical No. 4 :Graphical representation of data by using Histogram, Frequency Polygon, Frequency Curve and Locating Modal Value.

Practical No. 4 Graphical representation of data by using Histogram, Frequency Polygon, Frequency Curve and Locating Modal Value Graphical Representation: The representation of numerical data into graphs is called graphical representation of data. following are the graphs to represent a data i. Histogram ii. Frequency Polygon iii. Frequency Curve iv. Locating Modal Value i. Histogram: Histogram is one of the simplest methods to representing the grouped (continuous) frequency distribution. And histogram is defined as A pictorial representation of grouped (or continuous) frequency distribution to drawing a...

Random Number Generator

Shree Ganesha Statistics Blog - Random Number Generator Shree Ganesha Statistics Blog Random Number Generator Number of Random Numbers: Minimum Limit: Maximum Limit: Type of Random Number: Integer Decimal Generate

Basic Concepts of Probability and Binomial Distribution , Poisson Distribution.

Probability: Basic concepts of Probability: Probability is a way to measure hoe likely something is to happen. Probability is number between 0 and 1, where probability is 0 means is not happen at all and probability is 1 means it will be definitely happen, e.g. if we tossed coin there is a 50% chance to get head and 50% chance to get tail, it can be represented in probability as 0.5 for each outcome to get head and tail. Probability is used to help us taking decision and predicting the likelihood of the event in many areas, that are science, finance and Statistics. Now we learn the some basic concepts that used in Probability: i) Random Experiment OR Trail: A Random Experiment is an process that get one or more possible outcomes. examples of random experiment include tossing a coin, rolling a die, drawing a card from pack of card etc. using this we specify the possible outcomes known as sample pace. ii)Outcome: An outcome is a result of experi...

Statistical Inference I ( Theory of Estimation) : Unbiased it's properties and examples

📚Statistical Inference I Notes The theory of estimation invented by Prof. R. A. Fisher in a series of fundamental papers in around 1930. Statistical inference is a process of drawing conclusions about a population based on the information gathered from a sample. It involves using statistical techniques to analyse data, estimate parameters, test hypotheses, and quantify uncertainty. In essence, it allows us to make inferences about a larger group (i.e. population) based on the characteristics observed in a smaller subset (i.e. sample) of that group. Notation of parameter: Let x be a random variable having distribution function F or f is a population distribution. the constant of distribution function of F is known as Parameter. In general the parameter is denoted as any Greek Letters as θ. now we see the some basic terms : i. Population : in a statistics, The group of individual under study is called Population. the population is may be a group of obj...

Non- Parametric Test: Run Test

Non- Parametric Test A Non-Parametric tests is a one of the part of Statistical tests that non-parametric test does not assume any particular distribution for analyzing the variable. unlike the parametric test are based on the assumption like normality or other specific distribution of the variable. Non-parametric test is based on the rank, order, signs, or other non-numerical data. we know both test parametric and non-parametric, but when use particular test? answer is that if the assumption of parametric test are violated such as data is not normally distributed or sample size is small. then we use Non-parametric test they can used to analyse categorical data or ordinal data and data are obtained form in field like psychology, sociology and biology. For the analysis use the some non-parametric test that are Wilcoxon signed-ranked test, mann-whiteny U test, sign test, Run test, Kruskal-wallis test. but the non-parametric test have lower statistical power than ...

Median test

Non- Parametric test Median test Median test is also a Non-Parametric test and it is alternative to Parametric T test. The median test is used when we are interested to check the two independent sample have same median or not. It is useful when data is discrete or continuous and if data is in small size. Assumptions: I) the variable under study is ordinal scale II) the variable is random and Independent. The stepwise procedure for computation of median test for two independent sample : Step I :- firstly we define the hypothesis Null Hypothesis is the two independent sample have same median. Against Alternative Hypothesis is the two independent sample have different median. Step II :- In this step we combine two sample data. And calculating the median of combined data. Step III :- after that for testing hypothesis we constructing the (2x2) contingency table. For that table we divide the sample into two parts as number of observation above and below to the ...

Shree GaneshA Statistics

Search This Blog