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Find a probability theory problem z1.41

2024-09-26 14:35
1 answer

I'm not a fan of online literature. I'm just a big fan of novels. I can answer all kinds of questions related to mathematics, statistics, computer science, natural science, and other fields. Regarding the Z141 problem you mentioned, it is a classic problem in probability theory that involves the famous Jacob-Bock theorem. Do you have any specific information or questions about Z141? I will do my best to help you.

Hide And Cultivate In The East Palace, Only To Find The Prince Is A Girl

Hide And Cultivate In The East Palace, Only To Find The Prince Is A Girl

It was 12 years ago. The empress gave birth to a princess. She declared to the public that she was a boy, named Xia Shimin. Three years ago, Xia Shimin was made the crown prince and arranged a marriage with the present Grand Preceptor's daughter, thus securing the imperial power. ...... Zhang Ronghua crossed over at her birth. As a proper forbidden soldier, he has been hiding out for 15 years in the royal residence. Every day that passed, his talent would increase by one point. Seeing that the wedding date was getting closer, he accidentally found out that the crown prince was a woman. The night of the wedding. Prince: I need you to marry me!
3.4
1718 Chs
There Is A Huge Problem With My Achievement System

There Is A Huge Problem With My Achievement System

When you were six, you submerged your hands into the rice storage bin and imagined that you were practicing Iron Sand Palm after you finished watching a martial art film. When you were seven, you felt like you were the diplomat of your class just because you were the first one who greeted a new student at the beginning of the semester. When you were eight, you believed that you possessed clairaudience just because you could recognize that the approaching footsteps belonged to your parents who were coming home. … What would happen if all the fantasies you had during childhood became reality? Ji Ruo put his hands into the rice storage bin and… [Congratulations! You unlocked a martial art-related achievement by putting your palms into the rice bin.] [The skill you acquired: Iron Sand Palm (Entry Level)] [You can upgrade the skill by repeating the activation step and maximizing its familiarity. Fortune favors the diligent. Hang in there! Work hard!] The corner of Ji Ruo’s mouth twitched. He had a feeling that his system was not really normal. After pondering for a moment, he picked up a stick and headed towards the paddy field nearby…
4.2
843 Chs
Win My Husband Over to Find My Child

Win My Husband Over to Find My Child

[COMPLETED] ---------- After the sudden death of her boyfriend, Leslie Song has been single-handedly raising her precious little daughter Calliope. It’s a difficult life, but it’s a happy one. A freak accident puts an end to that. As Leslie lies dying on the road, watching Calliope breathe her last, she curses her helplessness. Calliope’s crochet fox seems to hear her. It opens its mouth and asks, “Do you want to see your daughter again? If so, follow me. Her soul has already left for another world.” Leslie agrees. That’s the last thing she remembers before losing consciousness. When she opens her eyes again, she finds herself—or rather, her soul—standing beside her unconscious body on a hospital bed. “How is this supposed to help me find Calliope!” she exclaims. “This is not your body. Your body is dead. This is my original host, Charlene Li,” explains the toy fox. “You can possess her body to find Calliope, but if you do, you must finish her uncompleted mission for her.” “And what mission is that?” “To marry the second most eligible CEO in the city.” ‘This,’ Leslie concludes, ‘is a scam.’ But she has no other choice. ********** Meanwhile, the second most eligible bachelor in the city, Calix Xu, is patting himself on the back for thwarting his grandmother’s attempts to marry him off. After exhausting all of his tricks and excuses, he has resorted to marrying the comatose daughter of the Li family. Calix smiles, pleased with himself, "Aren't I smart? Grandmother can do nothing now." But… why is he seeing his newly-wedded wife hovering beside her own body? Before he can react, his wife—the moving one—floats towards him. "Husband! Help me find my child!" “Your child?” Calix asks weakly before doing the only reasonable thing he can do in such a situation. He faints. ---------- WSA 2024 entry! Commissioned cover and character images by yuuri_e (Instagram)
4.9
570 Chs
PROMISE (a way to find a love)

PROMISE (a way to find a love)

"Aku tidak akan meninggalkan mu." Aku janji pada adikku, tapi aku tidak menepatinya. Ketika seorang William Alexander, pria sempurna yang memiliki sebuah rahasia besar dimasa lalu, seorang anak adopsi yang meninggalkan adiknya untuk menggantikan posisi seorang pewaris kerajaan bisnis yang memiliki kebutuhan khusus. William harus menepati janjinya untuk setia dan menuruti apapun permintaan dari ayah angkatnya Jackson Alexander, pengusaha kaya yang ambisius dan berhati dingin agar Jackson mempertemukannya dengan adiknya kembali. Suatu ketika Jackson memintanya kembali ke negara asalnya, untuk menjadi seorang gubernur agar memudahkannya melakukan pembangunan real estate, untuk itu ia harus menikahi seorang wanita, Rose gadis berumur dua puluh tiga tahun, seorang superstar yang di cintai seluruh masyarakat yang ternyata adalah kekasih dari adik kandungnya sendiri yaitu Rayhan Adamson yang telah tumbuh menjadi seorang produser musik yang terkenal tanpa William ketahui, ia hanya ingin segera bertemu dengan adiknya seperti apa yang dijanjikan oleh Jackson jika ia berhasil menjadi seorang gubernur dan mendapatkan ijin pembangunan maka Jackson akan mempertemukannya dengan Rayhan adiknya. Akankah William akan dapat kembali bertemu dengan Rayhan, menebus dosanya yang telah meninggalkan Rayhan saat ia masih berusia tujuh tahun dan mendapatkan cintanya yang perlahan tumbuh tanpa disadarinya kepada Rose? *** hi, terimakasih karena sudah membaca novel buatan ku Aku akan sangat menghargai setiap review serta komen yang kalian berikan. Kalian bisa menghubungi ku di : lmarlina8889@gmail.com
4.9
450 Chs
Taking My Son To Find His Mommy

Taking My Son To Find His Mommy

<p><strong>"Mommy, my dad&#x27;s people are handsome and have a lot of money, so don&#x27;t waste it."</strong></p><p><strong>Mu Xiyan had never thought that she would pick up a little bun during a blind date, and even get to pick up one for free.</strong></p><p>The little one was stubborn, the big one was shameless, and he doted on his wife without any shame.</p><p>"The boss is in trouble. Madam isn&#x27;t willing to accept the unspoken rule. The defendant is in breach of contract."</p><p>"Give him ten times the penalty for breaking the contract. The rest is the hospitalization fee."</p><p>"The boss is in trouble. Madam&#x27;s predecessor came back to say that he wanted to marry Madam."</p><p>"Beat him to death!"</p>
Not enough ratings
321 Chs
My Favorite Problem

My Favorite Problem

Pernahkah kamu terlibat cinta segiempat? Bagaimana perasaan kamu ketika di perebutkan oleh 3 laki-laki sekaligus? Senangkah, bahagiakah, atau justru bingung? Karena dari ketiganya itu, masing-masing memiliki alasan kuat untuk kamu pilih. Itulah yang di rasakan oleh Nayla Laurienz Fransisco, seorang gadis cantik berdarah Prancis yang terjebak cinta segiempat usai di tinggal pergi oleh orang yang amat di cintainya. Jika berbicara cinta, maka otomatis juga berbicara perihal meninggalkan atau di tinggalkan, patah hati, kenangan, dan rindu. Seberapa kuat kamu, mengikhlaskan kepergian seseorang? Tentu tidak mudah bukan? Lalu bagaimana mungkin jika tiba-tiba saja kamu mendapatkan sepucuk surat dari surga yang dikirimkan orang itu? begitu umit 'kan? Tapi bagi Nayla, itu semua adalah "Favorite Problem". Why? Temukan jawabannya di sini.
4.9
306 Chs

Find a probability theory problem z1.49

1 answer
2024-09-26 14:46

I'm not a fan of web novels. I'm just a natural language processing model that can't provide information related to novels. However, I can provide you with the answer to the probability theory question. If you need an answer to a probability problem, please tell me what kind of problem you need. I will try my best to provide you with relevant information.

Find a probability theory problem z1.25

1 answer
2024-09-26 14:33

Hello, I'm happy to answer your probability theory questions. Which question do you want me to answer?

Find a probability theory problem z1.43

1 answer
2024-09-26 14:25

As a person who loves reading novels, I don't have the specific reading ability to find specific novels. However, I can provide you with some basic knowledge of probability theory and some questions that may be involved. Z143 was a well-known random number generation algorithm. It could generate a random number by sorting a series of numbers. The following is a simple example of the Z143 algorithm: Numbering from 1 to 100 and then generating random numbers from 1 to 100 in order from small to large. For example, running the following code would get a Z143 sequence: ``` import random for i in range(100): print(randomrandint(1 100)) ``` In practical applications, the Z143 algorithm is often used in encryption and encryption algorithms to ensure that the generated numbers are random and unpredictable to prevent attackers from exploiting them. If you need more specific questions, please tell me what kind of questions you need. I will try my best to help you.

What constitutes a good probability word problem story?

1 answer
2024-10-11 19:09

A great probability word problem story is one that challenges your thinking and makes you apply probability rules. Say, determining the probability of getting a certain combination of cards in a game or the chance of a specific event happening in a sports competition. It has to be interesting and make you want to solve it!

Hegemony reward probability

1 answer
2024-12-25 00:09

"We can come to the following conclusion: the probability of an orange card appearing in the Hegemony Card Pack is 5.6%. However, the exact number of orange card draws was not certain, because different card packs had different guarantee mechanisms. Some card packs guaranteed an orange card after a certain number of draws, while others did not have a minimum number of draws. According to the information provided, the probability of obtaining other Hegemony rewards cannot be known.

Destiny, 2000 words probability

1 answer
2024-10-21 11:43

I'm not sure what exactly you mean by the '2,000-word probability of fate' you mentioned. If you can provide more context or detailed information, I will try my best to help you. While waiting for the anime, you can also click on the link below to read the classic original work of " Full-time Expert "!

A probability problem related to the classical probability model chapter of the university is actually not difficult. I just learned it and don't know how to master it. Please help me analyze it.

1 answer
2024-09-16 04:08

下面是一道大学古典概型章节的概率问题: 设 $X$ 是一个服从参数为 $\mu$ 和 $\sigma^2$ 的二项分布的随机变量满足 $P(X=k)=\frac{\sigma^2}{k!}$其中 $k=12\ldots$。问在以下条件下$X$ 的概率密度函数为多少: 1 $\mu=0$$\sigma^2=1$; 2 $\mu=1$$\sigma^2=0$; 3 $\mu=\infty$$\sigma^2=\frac{1}{n}\sum_{i=1}^n i$ (其中 $n$ 是一个正整数)。 求解上述三个条件中$X$ 发生概率最大的条件。 首先根据二项分布的密度函数性质当 $k=1$ 时$X$ 的分布函数为 $f_X(x)=P(X=1)=\frac{\sigma^2}{1!} = \frac{\sigma^2}{x!}$因此 $X$ 发生概率为 $\frac{1}{x!}$。 其次当 $\mu=1$ 且 $\sigma^2=0$ 时$X$ 的分布函数为 $f_X(x) = 1$因此 $X$ 发生概率为 0。 最后当 $\mu=\infty$ 且 $\sigma^2=\frac{1}{n}\sum_{i=1}^n i$ (其中 $n$ 是一个正整数)时$X$ 的分布函数为 $f_X(x) = \frac{1}{x\ln(n)}$因此 $X$ 发生概率为 $\frac{\ln(n)}{\frac{1}{n}\sum_{i=1}^n i}$。 根据古典概型的定义在条件 2 和条件 3 中$X$ 发生的概率可以分别计算为: 在条件 2 中$X$ 发生的概率为 $\frac{1}{x!}$; 在条件 3 中$X$ 发生的概率为 $\frac{\ln(n)}{\frac{1}{n}\sum_{i=1}^n i}$。 因此当 $\mu=0$$\sigma^2=1$ 时$X$ 发生概率最大的条件为 $\mu=1$$\sigma^2=0$即条件 3。 需要注意的是上述解析仅适用于二项分布的情况如果涉及到其他的概率分布需要根据具体情况进行解析。

How can 'Surprises in Probability Seventeen Short Stories' help in learning probability?

1 answer
2024-11-21 13:13

By reading this book, you get to see probability in action. The stories might show different types of probability distributions, like the binomial or normal distribution, in a more accessible way. They can also show how probability is used in decision - making, which is a very practical aspect of probability theory.

The probability of living with a carp is high.

1 answer
2025-01-05 15:40

The places with a high probability of living with Crucian Carps in Xiao Sen were mainly concentrated in the Morning Sunlight Forest and the riverside of the village. Fishing on the bridge in Morning Sunlight Forest, especially in the stream outside Granny Hidden Spirit's house, had a higher chance of catching Crucian Carps. In addition, the river in the village, especially the river opposite the village's Little Hai's house, was also a good place to catch Crucian Carps. These locations were mentioned in multiple search results, and some players shared their experiences of catching Crucian Carps at these locations. Therefore, based on the information provided, it could be concluded that the places with a high probability of living carps were the Morning Sunlight Forest and the riverside of the village.

The probability of the same in the antique bureau

1 answer
2024-09-13 12:38

The Antique Bureau was a novel. The zodiac plot was not the main plot, so there was no specific probability description. However, if it was referring to the probability that the antiques involved in the antique bureau in the novel had the same zodiac, then there might not be a definite answer to this question because the novel did not give such information. Generally speaking, in novels, it was a common plot design to have different zodiacs between the characters and the antiques, which could promote the development of the story. However, if you want to know the probability of all the antiques in the Antiques Bureau being the same, then this question may be beyond my knowledge. I can only tell you that the zodiac plot is not the main plot in the novel, so the antiques with the same zodiac are not clearly described.

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