Statistics: what impacts significance of variables?
958234
maybe there is something wrong with test to had conducted that yields a wrong result.\n\ni'm not saying that your test is not correct.\n\nIt's just that it is not impossible that we commit errors in testing.\n\nremember the type I and II error in hypothesis testing.\n\n\nmaube the calculated and tabular value of your test has almost the same value.\nso it may suddenly falls under or above it.\n\n\nthat's why\ni think\nhoping it helps you
455102
Yes, for scientists, statisticians, social researchers,statistics is a critical field.  In addition, statistics for laypeople, or non-experts, is a very powerful way to explain population trends and explain things such as the bell-shped distribution that most characteristics fall under, and the concept of statistically significant difference.
526264
I don't understand exactly your question.  If your question is the analyses of relation between quantitative factors ---then let us consider that the data of ten quantitative factors such as GNP/capita, Trade, power, stability, freedom, foreign comflict, agreement with US, Defence, % GNP, and Acceptance, for 14 different Nations are collected and it is needed to find out which one of the 10 factors is most dominating?  This subject leads to "factor analyses", the eigen values, communality, covariance, uniqueness, etc. It is a separate branch of advanced Statistics, by itself.  If you need more on this topic please check the following link.
836301
Try this website for help with your statistics homework:\n\nhttp://www.statsoft.com/textbook/stathome.html
1157784
mathematically, you CAN take an average of averages. \n\nBut statistically, it won't be meaningful, because you will be combining information from non-identical studies.
810852
Although what happens in the presence of an event is interesting and important what is more important when determining significance is what happens in the absence of the event (control). I'll go over the theory but I would suggest you go and get better control data.\nIf we assume the chance of achieving weekly profit target is constant, then we can use the binomial distribution to model probability and determine significance. It's like rolling a dice and looking at whether you get 6 or not.\nHere you assume a 7 in 14 (or 1 in 2 or 50%)chance of achieving your target. That means each combination of 14 passes or fails has a probability of 1 in 14 lots of 2 time 2 (2 to the power of 14 or 2^14) or 1 in 16384 - this is the chance of achieving your weekly target profit on all 14 weeks.\nTo get achieve 12 weekly target profits or better it doesn't matter what you get on 2 or the weeks (so multiply by 1 instead of the probability of achieving your target on each week). So you have a chance of 1 in 2^12 times 1 times 1 or 1 in 4096.\nA probability greater than 1 in 20 is generally considered significant... so well done!\nYou'll find a good explaination in most AS/A-level text books.\nWhat you might find interesting is if you look at by how much your weekly target profits differ compared to the average - if you've achieved a lot more than or just passed the margin for achieving targets each week. Its probably normally distributed - as a hint.\nI hope this intregues you ;)
928401
A variable is something that changes. In a science project, the independent variable is the thing you are changing. For example, if you are experimenting on the growth of plants with different types of liquids (like water, orange juice, whatever), the independent variable would be the liquid you feed the plant. The dependent variable in the same experiment would be the growth of each plant. The dependent variable is always something you can measure (temperature, height, mass, etc.)
86577
Multivariate analysis is a statistical technique to examine the effect of many variables on a single outcome.  For example, if you were studying what factors go into the price of a house, you might collect data about location, age of the house, and size of the house.  You could then perform a multivariate analysis to determine the relative contribution of each of those factors to the price of the home.
96086
What's your question?  Applied statistics are critical for the successful evaluation of lab studies.  Without it  interpretations of experimental results are subjective.  Of course, an over reliance on statistics is just as dangerous as many statistics show at the end of the day is testing the probability of an event occuring against the random probability of chance.
351084
Most times statistics are used in psychology to measure whether the results of an experiment shows genuinely "significant" differences within the results, or whether all of the results fit within a single range.\n\nFor example, there have been studies which "appear" to show that boys' and girls' academic performance goes in non-synchronous waves.\n\nIf you measured the performance of all the pupils in a school in a certain year in a certain subject you could tell (using chi square, for example) whether the performance of the boys (as a group) was statistically different from the performance of the girls (as a group), or whether the performance of all the students in that year, in that subject, fell within the same "range".\n\nIf there is a significant difference you can use "standard deviations" as a measure of just how big the difference is.\n\n(I don't have any URLs on hand, but you can look up "statistical significance" and "standard deviations" online.)
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Analysis of variance or ANOVA checks for the variation contributed by teh population in question
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Sorry to say, you better pass on this data set.  \n\nNote that each row of numbers totals 100, as these are percentages, so the variables are correlated, and have limited application.\n\nI think your professor wants two of the variables to be somewhat independent, meaning one is not a function of the other.  Such as gas mileage and price, for example, if you had a list of automobile makes.\n\nRatio variables are those in which the ratio of two of the numbers have meaning, such as miles per gallon, for example.  If car A gets 15 mpg and car B gets 20 mpg, you can take the ratio of the two: 15/20 and compute 0.75, meaning car A gets 75% of the mileage of car B.
173519
I guess you are talking about the statistical significance, of the difference of two random variables (or functions of variables).\nThat would be the case, for example if you want to test whethern two means are or not equal.\nThen, the difference of the two means can be tested to be or not zero. For that, you need to know the distribution of the original variables.\nIf the two samples come from the same normal population and are of the same size, then the difference is normal with mean zero and variance = 2*sigma^2/n where n is the sample size.\nThen, if the value (In absolute terms) is greater than X(p) then they are significantly different with probability p.\nX(p) is such P(X>X(p))=1-p.
43798
I'm assuming this is related to Prob/Stat.\n\nLevel of significance, is simply the accuracy at which you want to perform your tests at. \n\nType 1 & 2 are different kinds of errors associated with Probability. Type 1, if I remember correctly, is if you say the null hypothesis is true, when it is in fact not. A Type 2 error, is saying the null hypothesis is incorrect, when it is in fact correct.
978796
Study of data with respect to different spectral responses
282608
If you can provide more details then I can help you. p-value has to be compared with the level of significance. z-table and t-tables are different and u'll requir specific table for that. are you solving a question of hypothesis testing??\n\nCritical value for 't' requires the degree of freedom.
1021536
theoretically the importance of statistics in management is to provide a factual basis for decision making - however, in my personal experience statistics are generally manipulated in order to support the personal aims of the manager concerned