A worker at the local Department of Motor Vehicles (DMV) claims that 60% of teenagers smile in their driver’s license photo. In a random sample of 10 teenagers from last month’s new driver’s licenses, only 4 of them were smiling in their photos. To see how unusual this sample is, 100 simulated trials were conducted under the assumption that 60% of teenagers smile for their driver’s license photo. Based on the dotplot of the simulation results and the random sample from last month’s new driver’s licenses, which conclusion can be drawn? A) The actual proportion of teenagers who do not smile is only 8%. B) It is clear that exactly 6 out of 10 teenagers will smile in their driver’s license photo. C) If we continued to take more samples of 10 teenagers, the center of the distribution would shift to 6. D) There is about an 8% chance that 4 or fewer teenagers smiled for their photo. This is not unusual and is not convincing evidence that the true probability is less than 60%.
Compound Probability
Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.
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Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.
Conditional Probability
By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.
A worker at the local Department of Motor Vehicles (DMV) claims that 60% of teenagers smile in their driver’s license photo. In a random sample of 10 teenagers from last month’s new driver’s licenses, only 4 of them were smiling in their photos. To see how unusual this sample is, 100 simulated trials were conducted under the assumption that 60% of teenagers smile for their driver’s license photo.
Based on the dotplot of the simulation results and the random sample from last month’s new driver’s licenses, which conclusion can be drawn?
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