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❶Revenue of Kimberly-Clark from to in million U. Regression analysis and other modeling tools.

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Once you try our services, you will be freed from homework worries for the rest of your lives. Because when you will have tried us once, you will always have this feeling that you have a reliable source to get assistance with your homework from, whenever you have too much to do. Many experiments rely on assumptions of a normal distribution.

This is a reason why researchers very often measure the central tendency in statistical research, such as the mean arithmetic mean or geometric mean , median or mode. The central tendency may give a fairly good idea about the nature of the data mean, median and mode shows the "middle value" , especially when combined with measurements on how the data is distributed.

Scientists normally calculate the standard deviation to measure how the data is distributed. But there are various methods to measure how data is distributed: However, the sampling distribution will not be normally distributed if the distribution is skewed naturally or has outliers often rare outcomes or measurement errors messing up the data.

One example of a distribution which is not normally distributed is the F-distribution , which is skewed to the right. So, often researchers double check that their results are normally distributed using range, median and mode. How do we know whether a hypothesis is correct or not? Why use statistics to determine this? Using statistics in research involves a lot more than make use of statistical formulas or getting to know statistical software.

Making use of statistics in research basically involves. Statistics in research is not just about formulas and calculation. Many wrong conclusions have been conducted from not understanding basic statistical concepts. Statistics inference helps us to draw conclusions from samples of a population. When conducting experiments , a critical part is to test hypotheses against each other. Thus, it is an important part of the statistics tutorial for the scientific method.

Hypothesis testing is conducted by formulating an alternative hypothesis which is tested against the null hypothesis , the common view. The hypotheses are tested statistically against each other.

The researcher can work out a confidence interval , which defines the limits when you will regard a result as supporting the null hypothesis and when the alternative research hypothesis is supported.

This means that not all differences between the experimental group and the control group can be accepted as supporting the alternative hypothesis - the result need to differ significantly statistically for the researcher to accept the alternative hypothesis. This is done using a significance test another article. Caution though, data dredging , data snooping or fishing for data without later testing your hypothesis in a controlled experiment may lead you to conclude on cause and effect even though there is no relationship to the truth.

Depending on the hypothesis, you will have to choose between one-tailed and two tailed tests. Sometimes the control group is replaced with experimental probability - often if the research treats a phenomenon which is ethically problematic , economically too costly or overly time-consuming, then the true experimental design is replaced by a quasi-experimental approach.

Often there is a publication bias when the researcher finds the alternative hypothesis correct, rather than having a "null result", concluding that the null hypothesis provides the best explanation.

If applied correctly, statistics can be used to understand cause and effect between research variables. It may also help identify third variables, although statistics can also be used to manipulate and cover up third variables if the person presenting the numbers does not have honest intentions or sufficient knowledge with their results. Get ready to discover disturbing and amazing facts about our planet. A little click can go a long way. And if you feel couragous, please share. See live counters about Paper Waste Facts Paper comes from Trees….

Tons of paper produced In the world, this year See more. Facts about Paper and Paper Waste It takes an average of 5 liters of water to produce one piece of A4 paper. To print a Sunday edition of the New York Times requires 75, trees! Recycling 1 ton of paper saves around S offices use With all the paper we waste each year, we can build a 12 foot high wall of paper from New York to California!

Lessening of paper usage was predicted due to the electronic revolution. Demand for paper is expected to double before Every tree produces enough oxygen for 3 people to breathe. What can you do from your end to reduce paper pollution and waste? Recycle all your paper waste. Buy recycled paper materials or materials that came from sustainable managed forests.

In the office, reuse paper. You can bind these sheets and make a notebook using the other side. Use email instead of paper when communicating with clients and customers. Reduce the use of paper cups and disposable paper plates by keeping reusable items in the office pantry. Encourage your officemates and friends to recycle their paper by putting them in recycling bins. Buy products with the least paper packaging.

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