Psychological statistics binomial distribution calculation, the question is as follows

The probability that a certain product in a store is damaged, and now that 10 such products are sold, how many of the 10 products sold by the salesperson are damaged?

This is a typical binomial distribution problem, where n=10, p=. According to the binomial distribution probability formula, it can be calculated that among the 10 commodities sold, the probability that exactly 0 commodities are damaged is p(0)=; The probability that exactly 1 commodity is damaged is p(1)=; The probability that exactly 2 commodities are damaged is p(2)=; The probability that exactly 3 commodities are damaged is p(3)=; All other probabilities are small. It can be seen that among the 10 commodities sold by the salesman, exactly 1 or 2 commodities have the greatest probability of damage, which is also the focus of the salesperson.

Summary. A total of 100 people participated in the mathematics competition in a city this year, and the scores of the mathematics competition were known to follow a normal distribution, with a mean score of 58 and a standard deviation of 10. If the number of winners this year is 5, what is the minimum score to win?

Key points of the answer: p=5 100=

A total of 100 people participated in the mathematics competition in a certain city the year before last, and the scores of the mathematics competition obeyed a normal distribution, with an average score of 58 and a standard deviation of 10. If the number of winners this year is 5, what is the minimum score to win? Key points of the answer: p=5 100=

Hello, the psychological statistics calculation questions are as follows: A total of 100 people participated in the mathematics competition this year, and the scores of the mathematics competition are known to follow a normal distribution, with an average score of 58 and a standard deviation of 10. If the number of winners this year is 5, what is the minimum score to win?

Key points of the answer: p=5 100=

Summary. 3. The arithmetic mean is related to every data, and any change in the data will cause a change in the mean. The main disadvantage is that it is susceptible to extreme values, where extreme values are large or small, and the average will be raised when there is a large number and the average will be reduced when there is a small number.

4. The arithmetic mean is the most commonly used data representative value in statistics, which is more reliable and stable, because it is related to every data and reflects the most adequate information. Averages can be used to describe the overall average of a set of data itself, and can also be used as a criterion for comparing different sets of data, and are the most widely used in life.

4.Briefly describe the main steps of ANOVA.

Psychostatistics short answer questions.

1.Briefly describe the classification of statistical data types.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

Psychostatistics short answer questions.

4.Briefly describe the main steps of ANOVA.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

1.Briefly describe the classification of statistical data types.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

4.Briefly describe the main steps of ANOVA.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

1.Briefly describe the classification of statistical data types.

Psychostatistics short answer questions.

4.Briefly describe the main steps of ANOVA.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

1.Briefly describe the classification of statistical data types.

Psychostatistics short answer questions.

4.Briefly describe the main steps of ANOVA.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

1.Briefly describe the classification of statistical data types.

Psychostatistics short answer questions.

4.Briefly describe the main steps of ANOVA.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

1.Briefly describe the classification of statistical data types.

Psychostatistics short answer questions.

4.Briefly describe the main steps of ANOVA.

3.Briefly describe how to distinguish between point two-column correlation and two-column correlation.

2.Briefly describe the issues to be aware of when applying arithmetic mean to represent a concentrated trend.

1.Briefly describe the classification of statistical data types.

Psychostatistics short answer questions.

Both of these are done with a binomial distribution.

Plus, it's a bit of a hassle.

1.（64-39）/64=

2.Looking at Zhang Houcan's book, there is a formula.

Most people have a curiosity factor and a wait-and-choose mentality, so more than 60% of people will choose the next one!

1 Probability of 20 all having a bank card = approx. =

2 x is used to denote the number of people with a bank card, and p is the probability.

then p(x=a)=c(20,a)*

This is the probability of a binomial distribution.

Then the probability that no more than 15 people have a bank card = 1 - the probability that more than 15 people have a bank card.

1-[ p(x=16)+p(mill x=17)+p(x=18)+p(x=19)+p(x=20)]

Bring each probability of imitation into the above Beiyou brother probability formula to calculate.

3 Probability of more than 10 bank cards = p(x=11)+p(x=12)+·p(x=19)+p(x=20).

4 Question 1 has nothing to do with Question 3, except that the probability of Question 3 includes Question 1, what is a hypothesis?