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Qualitative traits like leadership, integrity, poverty, intelligence and other characteristics cannot be quantified, and statistical analysis cannot be used to directly analyse these qualitative phenomena.

-adarsh

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Distrust of statistics is more corresponding to the lack of confidence in the statistical methods and statements. It arises mainly due to the misuse of statistics - adarsh

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Census:

1. Definition: A census involves collecting data from every member of the entire population.

2. Coverage: It aims to include every individual or item in the population without exception.

3. Data Accuracy: Provides complete and accurate data for the entire population.

4. Time and Cost: Generally more time-consuming and expensive due to the need to gather information from every individual.

5. Examples: National population census, comprehensive surveys conducted by governments or large organizations.

Sample:

1. Definition: A sample involves collecting data from a subset of the population, rather than the entire population.

2. Coverage: Only a portion of the population is surveyed or studied.

3. Data Accuracy: Provides an estimate of the population characteristics, which may include some degree of error or bias.

4. Time and Cost: Typically less time-consuming and less expensive compared to a census.

5. Examples: Opinion polls, market research surveys, or small-scale academic research.

-Alvin

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Census:

1. Collects data from everyone in the population

2. A large number of resources and time to collect and conduct the survey

3. Complete and accurate response from everyone

4. A smaller margin of error

Sampling:

1. Collects data from smaller groups

2. Requires fewer resources

3. Provides and estimate

4. Larger margin for error

-Anveshika

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One ounce of truth can produce tonnes of statistics

Statistics can prove various things

Numbers, though accurate, are open to manipulation by selfish people to conceal the truth and present a distorted picture of the facts.

-Alvin

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lack of confidence in statistical statements and statistical methods. In other words, distrust of statistics implies that people look upon statistics with doubt and suspicion.

Tanush

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Distrust of statistics arises not because of anything wrong with the subject itself, but when the users tend to support their pre-dawn conclusions with the data

-Anveshika

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Statistics usually follow certain rules. They work well for situations where you need to measure or quantify things. But they might not be ideal for all types of data. Also, if you don't handle the data carefully when collecting, analyzing, and interpreting it, your statistical results could be misleading.

maya

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Bias can cause a manipulated outcome rather than the actual outcome causing a distrust in statistics

-Vritti

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Statistics lack mathematical accuracy: Results drawn are normally approximates, Since the data used is usually in mass, number of errors may be more and unavoidable.

-Alvin

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Census vs Samples

Census is an attempt to gather information about every member of the population,sampling gathers information only about a part.

For example according to 2011 census The poverty rate of India was 21.5%

For example for Samples Surveying of 100 students.

Kintan Bhattacharya

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By the distrust of statistics we mean lack of confidence in statistical statements and statistical methods In other words, distrust of statistics implies that people look upon statistics with doubt and suspicion - daksh

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HOW IS IT RELATED TO THE MOVIE OPPENHEIMER.

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1. Study of only numerical facts (Quantitative)- doesn't study qualitative factors

2. Studies of only aggregates- Doesn't study any particular unit

-Anveshika

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Census: - Collecting data from all units or entities of a population

Sample:- Collecting a data from a small fraction of the population to estimate the data for population

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Mistrust of Statistics are

There is mistrust of statistics because it is misused

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Limitations of statistics is =

The mean cannot be calculated for categorical data, as the values cannot be summed. As the mean includes every value in the distribution the mean is influenced by outliers and skewed distributions.

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Users of statistics can manipulate their data to suit or support their claims.

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LIMITATIONS OF STATISTICS:

-no application of data

-gathering, analyzing, and interpreting the data, if adequate care is not taken, statistical findings can be misleading.

-not ideal for heterogenous data.

-Anaya.

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The main limitations include that statistics laws are true on average, are best applicable to quantitative data, and errors are possible in statistical decisions. Data collection, organisation, analysis, and presentation are all topics covered by statistics - Daksh

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The limitations of statistics are

Limited to Numerical Data.

Sometimes it is bias.

They applicable in quantitative data

Kintan Bhattacharya

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the limitations of statistics are as follows:

1. Study of numerical facts only: statistics studies only such facts as can be expressed in numerical terms. It does not study qualititative phenomena

-siyona

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Studies the variables in numerical format only