0
What else can I help you with?
What is the difference between probability sampling and simple random sampling?
Simple random sampling = A process of selecting subjects in such a way that each member of the population has an equal likelihood of being selected; you can throw all your subjects into a hat and draw them out one by one, or assign each member a number and choose every fifth number to be a participant.Probability sampling=A sampling procedure in which the probability that each element of the population will be included in the sample can be specified; you have a specific number of subjects and you know that they have a 50/50 chance of being chosen, or because of an anomaly, they may only have a 20/100 chance of being chosen for the experiment.*Your teacher is being tricky however, because there are 4 basic types of Probability sampling and simple random sampling is one of them. Also are stratified, systematic and cluster sampling. All four fall under the general title of Probability Sampling (P.S.)!! P.S. is kinda like the category and the 4 types are just different ways to do the sample, each has their own "little differences" in how the data is collected and assigned.
What is meant by probability distribution?
I will give first the non-mathematical definition as given by Triola in Elementary Statistics: A random variable is a variable typicaly represented by x that has a a single numerical value, determined by chance for each outcome of a procedure. A probability distribution is a graph, table or formula that gives the probabability for each value of the random variable. A mathematical definition given by DeGroot in "Probability and Statistics" A real valued function that is defined in space S is called a random variable. For each random variable X and each set A of real numbers, we could calculate the probabilities. The collection of all of these probabilities is the distribution of X. Triola gets accross the idea of a collection as a table, graph or formula. Further to the definition is the types of distributions- discrete or continuous. Some well know distribution are the normal distribution, exponential, binomial, uniform, triangular and Poisson.
Which is better a 005 level of significance or 001 level of significance?
"Better" is subjective. A 0.005 level of significance refers to a statistical test in which there is only a 0.5 percent chance that a result as extreme as that observed (or more extreme) occurs by pure chance. A 0.001 level of significance is even stricter. So with the 0.001 level of significance, there is a much better chance that when you decide to reject the null hypothesis, it did deserve to be rejected. And consequently the probability that you reject the null hypothesis when it was true (Type I error) is smaller. However, all this comes at a cost. As the level of significance increases, the probability of the Type II error also increases. So, with the 0.001 level of significance, there is a greater probability that you fail to reject the null hypothesis because the evidence against it is not strong enough. So "better" then becomes a consideration of the relative costs and benefits of the consequences of the correct decisions and the two types of errors.
Example of median of continuous data?
a discrete probability distribution, a median m satisfies the inequalitiesorin which a Lebesgue-Stieltjes integral is used. For an absolutely continuous probability distribution with probability density function ƒ, we have[edit]Medians of particular distributionsThe medians of certain types of distributions can be easily calculated from their parameters:The median of a normal distribution with mean μ and variance σ2 is μ. In fact, for a normal distribution, mean = median = mode.The median of a uniform distribution in the interval [a, b] is (a + b) / 2, which is also the mean.The median of a Cauchy distribution with location parameter x0 and scale parameter y is x0, the location parameter.The median of an exponential distribution with rate parameter λ is the natural logarithm of 2 divided by the rate parameter: λ−1ln 2.The median of a Weibull distribution with shape parameter k and scale parameter λ is λ(ln 2)1/k.
What does the p value have to be for you to reject it in chi square conclusions?
The p value for rejecting an hypothesis is more closely related to the type of errors and their consequences. The p value is not determined by the chi square - or any other - test but by the impact of the decision made on the basis of the test. The two types of errors to be considered are: what is the probability that you reject the null hypothesis when it is actually true (type I error), and what is the probability that you accept the null hypothesis when, in fact, it is false (type I error).. Reducing one type of error increase the other and there is a balance to be struck between the two. This balance will be influenced by the costs associated with making the wrong error. In real life, the effects (costs/benefits) of decisions are very asymmetrical.
What would your childrens blood types be if both parents have A positive blood type?
A+ or O+ http://www.biology.arizona.edu/Human_Bio/problem_sets/blood_types/btcalcB.cfm
What are the two types of probability?
Probability is generally split into theoretical and experimental.
What types of childrens doctors?
Generally speaking they are pediatricians.
A man with type a blood marries a woman with type ab blood according to predicted outcomes based on genetics their children may have all blood types except type?
Type B blood. Children of a parent with type A and a parent with type AB blood can only have type A, type B, or type AB blood types, as type A and type B are dominant over type O.
When O positive man marries an A Negative girl will their child have health problems?
Mixing blood types will not any impact on the health of a child, only the resultant inherited blood type. This particular mix will produce a child with an A pos or A neg or O pos or O neg blood group.
What types of book does Gary soto wrote?
poetry amd childrens books
What is sampling in research?
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
Which of the blood types can receive blood from the largest number of other blood types?
Blood AB.
What are the types of probability?
They are generally agreed to be theoretical and experimental probabilities. Probability is probability. The concept may be applied to any causal event which has more than one potential outcome.
How many blood-types do dogs have?
They can have a lot of blood-types
What kinds of blood types do misquiteosgo after?
blood types a+ and o_
If a bloodstain found at the scene of a crime is found to be B N or Rh what is the probability that a suspect would have this combination of antigens?
The probability of a suspect having a specific blood type can vary depending on the population demographics, as some blood types are more common than others. Blood type B+ (rather than B N or Rh) is present in about 8-10% of the population, making it less common than O+ (45-50%) and A+ (30-35%). To determine the specific likelihood, you would need to know the distribution of blood types in the suspect population.
