Whether the error is a false positive or a false negative rate

False, h0 is originally true, rejects h0, and incorrectly accepts alternative hypothesis h1 and discards true;

False, h0 is originally false, rejects h1, and accepts h0 incorrectly, takes false;

This cannot be judged from the name, and it cannot be judged as an understatement just because a type of error is called abandoning the truth, but we should truly understand the true meaning of the so-called "abandonment of the truth".

A type of error is when h0 (no difference between sample and population) is originally correct, but rejects h0 and chooses h1, i.e., chooses to make the difference incorrect, i.e., discards the true; There is no difference, but to say that there is a difference is a false alarm.

In the same way, the second type of error, h0 (no difference between the sample and the population) is originally wrong, that is, there is a difference between the two, but h0 is chosen, that is, h0 (no difference) h0 is wrong and h0 is also chosen, that is, it is false; There was originally a difference, but to say that there was no difference, that is, to underreport.

Therefore, abandoning the truth, taking the falsehood, and false alarm, and false negative, respectively, are aimed at the selection of h0 and whether there is a real difference between the sample and the population, and they are aimed at different objects, so they cannot be simply corresponded from the name.

The first type of error is called a error, and the second type is called an error. The following is a brief description of the relationship between A and Error, the relationship between A and Error, and the sample of A and Error.

1) A error **, the probability of a error can be artificially controlled in the statistical test, that is, the confidence level, generally take the two confidence levels of p = and p = as a coefficient, so a error can be artificially controlled. False, that is, accepting the h0 hypothesis. This error is very important and generally not acceptable.

2) The first type of error, when controlled as, then the area on both sides of the normal distribution is less, and then as the A error decreases, the second type of error is the possibility of accepting Ho correct, except that the large area under the area at both ends of the normal distribution increases. It is the second type of error that increases the likelihood. On the other hand, the likelihood of rejecting h0 increases with the reduction of type 2 errors.

However, an a+ error does not equal 1.

3) Increasing the sample size can reduce both types of errors. As the sample sizes, the probability of making a wrong and wrong decisions in the population decreases.

Error rate: It is the error rate, the proportion of the number of errors to the total, which mainly evaluates the workload of someone in something.

False reporting rate: refers to the proportion of false reports in the total, emphasizing falsehood.

Concealment rate: refers to the proportion of the total number of unreported.

This statement is correct.

d' is the subject's susceptibility, which is generally stable. It is the subjective criterion for judging the signal and noise. If there is more signal than noise in the prior probability, the standard is looser, and if there is more noise than signal, the standard is looser.

hemei412 means, = hit rate coordinates and falsely report rate coordinates. d' = z-score corresponding to false positive rate p - z-score corresponding to hit rate p (it should be zn-zsn, anyway, it must be the difference between the two).

There is a lot of content on signal detection theory. You better read more books, I don't know what else you want to know, I can't tell you a sentence or two. I used the one from Zhu Ying, a teacher from Peking University.

The question only requires the hit rate of the radar, the actual 6, the report 5, the hit rate is 5 6 =

Multiple choice The requirements for preparing financial accounting reports are (A, the numbers are true B, the report is timely, the calculations are correct, and the content is complete).

With 360 360 there's a computer clinic with a game error that has a DNF in it.

First of all, it is necessary to point out that a serious mistake of the landlord is the error of the formula, and the correct formula should be: The qualitative formula = p(n) p(s) The number of rewards for correct negation + the number of penalties for false reporting) (the number of penalties for omission), and then it should be pointed out that the conditional probability is different from the prior probability, and the probability of the above formula is the conditional probability, which can also be regarded as a posterior probability, so it is impossible for the probability you said to increase and then affect the change of b, and there will be this probability only after the decision is made. If you need to use a priori probabilities to calculate, the formula:

b=p(n) p(sn), which can also be calculated by a posterior method, the formula b=p(n) p(sn)=(number of false positives + number of correct rejections) (number of hits + number of false negatives). Again, there is no inverse relationship between height o and probability p, the easiest way is to draw a standard normal distribution diagram, at 20% probability, see what height o is, at 80% probability, see what height o is, they must be equal.

The landlord looked at Meng Qing's experimental book, The larger the standard, the higher the judgment standard, tend to say that there is no signal, in the case of different noise and signal prior probability i, the punishment for the result is different, the judgment standard is proportional to the prior probability of noise, and the number of rewards for correct rejection plus the number of penalties for false reporting. . .

Yes, there is a contradiction between this sentence and Yang Zhiliang's book, and some people say that Cao Tianxiao said it wrong, and I want to verify it.

That's right in the book, = the ordinate of the accuracy rate The ordinate of the false reporting rate, when =1, the ordinate of the accuracy rate = the ordinate of the false reporting rate, but pay attention to the red letters.

Partly, check the probability of hitting or false alarms according to the value of the ordinate, your problem is that you haven't figured out the normal distribution yet.

The ordinate is not equal to the probability It is recommended to study the slow paragraphs on the 286 pages of Guo's solid heart.

That's right.. It's so right upstairs.,I wanted to grab a sofa first.,He Kongpei turned out to be busy.。。 And when you say =1, it means that the subject judges according to their own guesses, and there is no standard...

You look at the graph under the land, a straight line over the origin, the ROC curve characteristic diagram. That's it..

However, why is the accuracy rate plus the false rate equal to 1 when =1? Please advise.

Last question, I feel that your sentence doesn't flow well. Look if there's a typo, I don't have that book.

Regarding authenticity, this is very simple, there is a full list on the Internet: Registration List - Clinical Psychology Branch of the Chinese Psychological Society about quality control, probably through some means:

1. First of all, it is necessary to use a hard condition card, including academic qualifications and training qualifications: psychologist registration standards. That's a foundation.

2. Recommendation system: I personally think that this is the most important link in quality control. To apply for the registration system, you must get the recommendation of two members of the system, and I understand that it is to ensure the purity of this circle to the greatest extent.

In addition, in order to avoid abusive people (a problem in Chinese culture), each member of the system can only recommend a maximum of two people per year, and there is a risk of joint sitting. If there is a problem with the recommended applicant, the recommender will also be deprived of the right to recommend for a number of years, and will be responsible for the recommendation error. This ensures that every new entrant is at least recognized by the industry.

But there are drawbacks to this, that is, the problem of the small circle mentioned by the motive brother, there must be masters outside the circle who will be stuck outside this system, there is no way, to reduce the false reporting rate, the price is to increase the false reporting rate, and the gourd is poured down.

4. Ethics publicity: After the professional review process, it is necessary to pass a three-month ethics publicity and ethics working group review. During this time, if a complaint is received about a professional ethics issue for an associate registered psychologist, the Ethics Working Group will conduct an assessment investigation.

Although it seems like going through the motions a lot of the time, there will be situations where it can't be announced. This year's announcement sees: The 2013 Ethics Disclosure List of Registered Psychologists After such procedures, I think the quality of registered psychologists is probably more secure than the certification of the Ministry of Labor.

Finally, it should be noted that the certification of counselors of the Ministry of Labor is an official certification, while the certification of registered psychologists is the certification of the society, and the society is not an official organization. Therefore, no matter how rough the former is, after all, it has legal effect, and the latter can never replace the former.