A wheel of fortune is divided into 10 parts, one of them brings the jackpot.

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SUMMARY

The discussion centers on calculating probabilities related to a wheel of fortune divided into 10 equal parts, with one part representing a jackpot. The player spins the wheel 20 times and seeks to determine the probability of winning at least one jackpot, aiming for a 90% success rate. The calculations involve the binomial distribution, specifically using the formula for cumulative probabilities. Additionally, the player explores the significance level for misjudging the wheel's fairness, seeking to adjust it to approximately 6%.

PREREQUISITES
  • Understanding of binomial distribution and its properties
  • Familiarity with cumulative probability calculations
  • Knowledge of hypothesis testing and significance levels
  • Ability to use statistical tools for probability calculations
NEXT STEPS
  • Learn how to calculate cumulative probabilities using the binomial distribution
  • Explore the concept of significance levels in hypothesis testing
  • Investigate the use of statistical software for binomial probability calculations
  • Study the inverse cumulative binomial distribution for determining sample sizes
USEFUL FOR

Mathematicians, statisticians, and anyone involved in probability theory or hypothesis testing will benefit from this discussion, particularly those interested in practical applications of binomial distributions.

mathmari
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Hey! :o

A wheel of fortune is divided into $10$ equal sized parts, of which one of them brings the jackpot.

  • A player wants to investigate the regularity of the wheel of fortune. He turns the wheel 20 times. Calculate the probability that he will get at least one main prize if it is a laplace wheel.
  • How often does the player have to spin the wheel of fortune to get at least one main prize with a probability of at least 90%.
  • The player objects to the wheel when less than twice the jackpot appears at 20 times turn. Calculate the probability that the wheel will be misjudged.
  • What does the player have to change in his test so that the significant level is about $6\%$ ?

I have done the following:

  • $$P(X\geq 1)=1-P(X\leq 1)=1-\sum_{i=0}^1\binom{10}{i}\left (\frac{1}{10}\right )^{20}\cdot \left (1-\frac{1}{10}\right )^{20-i}$$

    $$ $$
  • \begin{align*}P(X\geq k)\geq 90\% &\Rightarrow 1-P(X\leq k)=90\% \\ & \Rightarrow 1-\sum_{i=0}^k\binom{10}{i}\left (\frac{1}{10}\right )^{20}\cdot \left (1-\frac{1}{10}\right )^{20-i}\geq 0.9 \\ & \Rightarrow \sum_{i=0}^k\binom{10}{i}\left (\frac{1}{10}\right )^{20}\cdot \left (1-\frac{1}{10}\right )^{20-i}\leq 0.1\end{align*}

Is everything correct so far? (Wondering)

Could you give me a hint for the other two questions? (Wondering)
 
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mathmari said:
Hey! :o

A wheel of fortune is divided into $10$ equal sized parts, of which one of them brings the jackpot.

  • A player wants to investigate the regularity of the wheel of fortune. He turns the wheel 20 times. Calculate the probability that he will get at least one main prize if it is a laplace wheel.
  • How often does the player have to spin the wheel of fortune to get at least one main prize with a probability of at least 90%.
  • The player objects to the wheel when less than twice the jackpot appears at 20 times turn. Calculate the probability that the wheel will be misjudged.
  • What does the player have to change in his test so that the significant level is about $6\%$ ?

I have done the following:
  • $$P(X\geq 1)=1-P(X\leq 1)=1-\sum_{i=0}^1\binom{10}{i}\left (\frac{1}{10}\right )^{20}\cdot \left (1-\frac{1}{10}\right )^{20-i}$$

Hey mathmari! (Smile)

Shouldn't it be:
$$P(X\geq 1)=1-P(\text{NOT }(X\geq 1))=1-P(X<1)$$
(Wondering)
mathmari said:
  • \begin{align*}P(X\geq k)\geq 90\% &\Rightarrow 1-P(X\leq k)=90\% \\ & \Rightarrow 1-\sum_{i=0}^k\binom{10}{i}\left (\frac{1}{10}\right )^{20}\cdot \left (1-\frac{1}{10}\right )^{20-i}\geq 0.9 \\ & \Rightarrow \sum_{i=0}^k\binom{10}{i}\left (\frac{1}{10}\right )^{20}\cdot \left (1-\frac{1}{10}\right )^{20-i}\leq 0.1\end{align*}

Is everything correct so far?

You are one off. (Sweating)

Next thing to do is calculate those chances for $i=0$, $i=1$, and so on until we reach a sum of $0.1$. (Thinking)

Or alternatively we can use a tool or table to find the inverse cumulative binomial distribution. (Nerd)

mathmari said:
Could you give me a hint for the other two questions?

Suppose the wheel really is a laplace wheel.
We will call this the null hypothesis ($H_0$).
Then we can calculate the probability that the player will object anyway, can't we?
That is, we can calculate $P(X \le 2\mid H_0)$, can't we? (Wondering)This probability that we misjudge even though the null hypothesis is true, is called the significance or $p$-value.
If just now we found that the probability to misjudge is more than $6\%$, what can we do to change that probability? (Wondering)
 

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