It depends on the statistical test that is being applied. Different tests have different critical values. For the sake of definiteness let's say that you plan to measure the IQs of 30 people using two different paper-and-pencil tests. In advance of your study you decided that the null hypothesis would be that there is no correlation between the two tests and that the alternative hypothesis would be that a positive correlation of the results of test B on those of test A would be accepted at level p=0.01 (or 1%).
You proceed with your measurements and you make your correlation calculation. Meanwhile you have consulted the necessary tables to find that the critical value for the correlation statistic based on 30 points is 0.306.
This means that you must accept the null hypothesis if the sample correlation coefficient is less than or equal to 0.306. You can accept the alternative if the sample statistic is greater than 0.306.
It is usually chosen as 0.05 or 0.01. So, the answer is 0.01 or 1 percent. One can choose a lower level if they want to risking the consequnce.
Move the decimal point twice to the left, for example 56% becomes 0.56 or 92% becomes 0.92 etc
42%. if a fraction is something over 50, multiply both by 2 and you have your answer. for example, 37 over 50 as a percentage would be 74.
0.03 percent is greater than 0.02 percent.
Robust statistics provide an alternative approach to classical statistical estimators such as mean, standard deviation (SD), and percent coefficient of variation (%CV). These alternative procedures are more resistant to the statistical influences of outlying events in a sample population-hence the term "robust." Real data sets often contain gross outliers, and it is impractical to systematically attempt to remove all outliers by gating procedures or other rule sets. The robust equivalent of the mean statistic is the median. The robust SD is designated rSD and the percent robust CV is designated %rCV. For perfectly normal distributions, classical and robust statistics give the same results. Saleh Khudirat, PhD
5. The manufacturer of a spot remover claims that his product removes 90 percent of all spots. In a random sample, the spot remover removes 11 of 16 stains. Write the null and alternative hypotheses.
I believe you are asking about hypothesis testing, where we choose an alpha value, (also called a signifance level). Thus, I will rephrase your question as follows: If I choose an alpha value of 0.01, what percent of time do you expect the come to an erroneous conclusion, that is test statistic to fall out of the critical region yet the null hypothesis is true? The answer is 1% of the time, an incorrect rejection of the null hypotheis, which is a type I error.
You start of with a null hypothesis according to which the variable has some specified distribution. Some of the parameters of this distribution may need to be estimated using the observed data. Against this hypothesis you will have an alternative hypothesis about the distribution of the variable. You then assume that the null hypothesis is true and calculate the probability that the variable (or a test statistic based on that variable) has the observed numerical value or one that is more extreme. (In deciding what is more extreme you need to know the alternative hypothesis.) If that probability is less than 0.1 % then the result is significant at 0.1% - and so on.
I am never sure what is meant by 'alternative energy'. Does it include nuclear and hydro for example? The best I can do is give a breakdown as follows,(for 2006) and you can decide what you call the alternatives. Coal + oil + natural gas 70.8 percent. Hydro 7.0 percent. Nuclear 19.4 percent. Wind 0.7 percent. Solar 0.1 percent. Incinerators 0.3 percent. Geothermal 0.3 percent. Biomass 1.3 percent. I expect wind and solar are now a little higher than in 2006
About 55%to60% of energy is gained by alternative energy.
anything thats a non example of a percent is the answer
anything thats a non example of a percent is the answer
I think it is hypothesis testing
I do I get the percent of something? Example I have 650 students and 156 are hispanic, how do I figure out the percent?
"9.1" as a percent is 910 percent, because for example .1 is 10 percent and 9 is 900 percent and 900 + 10 is 910.
Use the symbol "%". For example, 30% means 30 percent.
No, 35% of 100 is not a minor percent. However for example 50% or above is a major percent.