If your null hypothesis is not correct.
If the results you achieve are not able to be replicated and/or the margin of error is too great.
If you do not have all the necessary and sufficient variables, and controlled for them, and/or they are not relevant.
Monty Python had on one of there Flying Circus shows an excellent demonstration of the problems of statics. It showed a segment with large Penguins, then small Penguins as subjects and first small fish and then large fish as rewards and finished with the substitution of BBC programmers as subjects. I wish I had saved the copy I used in class or could remember the episode.
Lying durh~Da Bous
Misleading statements are statements that are intentionally deceptive or unclear, leading to a false understanding or impression. They can be used to manipulate or influence others by conveying information that is not entirely accurate or truthful. Misleading statements can be harmful as they can undermine trust and distort reality.
Democracy is not an abuse of statistics. Rather, statistics can be used in democratic processes to inform decision-making, policy formulation, and public understanding. When used appropriately, statistics can help ensure that decisions are based on evidence and contribute to a more informed and participatory democracy.
Statistics in international relations help in understanding patterns in global events, providing empirical evidence for policymaking, and facilitating comparisons between different countries. By analyzing statistical data, policymakers can make informed decisions regarding diplomatic relations, trade agreements, and conflict resolution strategies. Additionally, statistics can help in monitoring and evaluating the effectiveness of policies and interventions in the international arena.
Statistics is a branch of mathematics that involves collecting, analyzing, and interpreting data in order to make informed decisions and predictions. It helps us understand patterns and relationships in data, and is widely used in various fields such as science, business, and social sciences.
Statistics themselves are purely factual and can not be biased or misleading. When people start making inferences and interpretations based on the statistics, that is when they can become biased or misleading.
The world is littered with statistics, and the average person is bombarded with five statistics a day1. Statistics can be misleading and sometimes deliberately distorting. There are three kinds of commonly recognised untruths: "Lies, damn lies and statistics." - Mark Twain
Statistics can easily be manipulated and used to espouse erroneous or misleading theories.
Look at lots of different sources.Dont rely on one set of statistics.
At the Department of Crime Statistics in South Africa
In an ad for moisturizing lotion, the following claim is made: "…it's the #1 dermatologist recommended brand "what is misleading about the claim?
Lies or damned lies! These would be statistics which are faulty or presented in a misleading way (deliberately or accidentally). Such statistics could arise in a number of ways:the experimental model was flawed,there were errors in measurement or recording,the sample was biased,correlation was interpreted as causation,poor graph design - scales, pictograms using improper dimensions,
they are graphs that are misleading
The phrase "Lies, damned lies, and statistics" suggests that statistics can be manipulated to mislead or distort the truth, implying that there are three categories of deception: straightforward lies, more egregious lies, and the misleading use of statistics. While not a formal categorization, this expression highlights the idea that statistics can be as deceptive as outright lies when presented without context or clarity. Ultimately, it serves as a caution against accepting statistical claims at face value without critical examination.
This is a misleading answer: 2 + 2 = 17 & threequarters....Misleading means information that is knowingly incorrect.
Misleading is an adjective.
Statistics on known reserves of natural resources can be misleading because they often reflect only economically viable deposits, excluding larger quantities that may be too costly or technically challenging to extract. Additionally, advancements in technology or shifts in market demand can change the status of what is considered a "known reserve." Furthermore, reserve estimates can be influenced by political, economic, and regulatory factors, leading to inconsistencies in reporting and perceptions of availability.