A person decides to tease a neighbor's dog. The neighbor says that 30% of people teasing the dog get bitten. The person decides to try teasing the dog at most 3 times, until the first bite. $X$ is the number of attempts to tease the dog in which the dog does not bite. Create the distribution series and plot the distribution polygon of the random variable $X$.

Probability and StatisticsProbabilityProbability DistributionGeometric DistributionDiscrete Random VariableDistribution SeriesProbability Polygon
2025/4/17

1. Problem Description

A person decides to tease a neighbor's dog. The neighbor says that 30% of people teasing the dog get bitten. The person decides to try teasing the dog at most 3 times, until the first bite. XX is the number of attempts to tease the dog in which the dog does not bite. Create the distribution series and plot the distribution polygon of the random variable XX.

2. Solution Steps

Let pp be the probability of being bitten, which is p=0.3p = 0.3. Then the probability of not being bitten is q=1p=10.3=0.7q = 1 - p = 1 - 0.3 = 0.7.
XX can take the values 0, 1,
2.
If X=0X = 0, the person is bitten on the first attempt. The probability is P(X=0)=p=0.3P(X = 0) = p = 0.3.
If X=1X = 1, the person is not bitten on the first attempt, and bitten on the second attempt. The probability is P(X=1)=qp=0.70.3=0.21P(X = 1) = q \cdot p = 0.7 \cdot 0.3 = 0.21.
If X=2X = 2, the person is not bitten on the first and second attempts, and bitten on the third attempt. The probability is P(X=2)=qqp=q2p=(0.7)20.3=0.490.3=0.147P(X = 2) = q \cdot q \cdot p = q^2 \cdot p = (0.7)^2 \cdot 0.3 = 0.49 \cdot 0.3 = 0.147.
The distribution series is:
XX: 0, 1, 2
P(X)P(X): 0.3, 0.21, 0.147
The sum of probabilities is 0.3+0.21+0.147=0.6570.3 + 0.21 + 0.147 = 0.657.
Since the person attempts at most 3 times until the first bite, it is important to ensure that the probabilities sum up to

1. However, the given probabilities do not sum up to

1. This means that there is a probability that the person is not bitten in any of the three trials.

The probability that the person is not bitten in any of the three attempts is P(X>2)=q3=(0.7)3=0.343P(X > 2) = q^3 = (0.7)^3 = 0.343.
Therefore, the modified probabilities accounting for at most 3 attempts are:
P(X=0)=0.3P(X=0) = 0.3
P(X=1)=0.70.3=0.21P(X=1) = 0.7 * 0.3 = 0.21
P(X=2)=0.70.70.3=0.147P(X=2) = 0.7 * 0.7 * 0.3 = 0.147
P(no bite in 3 attempts)=0.70.70.7=0.343P(\text{no bite in 3 attempts}) = 0.7 * 0.7 * 0.7 = 0.343
Revised probabilities:
XX: 0, 1, 2
P(X)P(X): 0.3, 0.21, 0.147
Let's verify the sum: 0.3 + 0.21 + 0.147 + 0.343 =
1.
The distribution polygon (histogram) has vertices (0, 0.3), (1, 0.21), (2, 0.147).
Note: The last case would not be plotted with the polygon itself.

3. Final Answer

Distribution series:
XX: 0, 1, 2
P(X)P(X): 0.3, 0.21, 0.147

Related problems in "Probability and Statistics"

The problem provides the distribution of a discrete random variable $X$ and asks us to find the valu...

Discrete Random VariableProbability DistributionExpected ValueVarianceStandard DeviationModeDistribution Function
2025/4/17

A person decides to tease a neighbor's dog. The dog bites in 30% of cases when people tease it. The ...

Probability DistributionRandom VariableGeometric DistributionProbability
2025/4/17

We are given the probability distribution of a discrete random variable $X$. The possible values of ...

Probability DistributionsDiscrete Random VariablesExpected ValueVarianceStandard DeviationCumulative Distribution FunctionMode
2025/4/17

There are 5 balls, 2 marked "Yes" and 3 unmarked. Five people draw the balls one by one without repl...

ProbabilityConditional ProbabilityCombinatorics
2025/4/16

The problem asks us to find the conditional probability that an animal will live beyond 25 years, gi...

Conditional ProbabilityProbabilityEvents
2025/4/16

We are given a dataset of pre-test scores ($X_1$) and post-test scores ($X_2$) for a group of studen...

Paired t-testStatistical SignificanceHypothesis TestingMeanStandard DeviationP-value
2025/4/14

We are given two sets of scores, Time 1 ($X_1$) and Time 2 ($X_2$), for 12 subjects. We need to cal...

Hypothesis TestingPaired t-testStatistical SignificanceMeanStandard Deviation
2025/4/14

The problem provides a table showing the performance of 10 students in Chemistry ($x$) and Physics (...

Descriptive StatisticsMeanScatter DiagramLinear Regression
2025/4/13

The problem asks to construct a 99% confidence interval for the average land temperature from 1981-2...

Confidence IntervalT-distributionSample MeanSample Standard DeviationStatistical Inference
2025/4/13

We are given the marks obtained by 8 students in Mathematics and Physics tests. We are asked to calc...

Spearman's Rank CorrelationCorrelationStatistics
2025/4/13