One classical experiment in extrasensory perception tests the ability of an individual to show telepathy - to read the mind of another individual. This test uses five cards with different designs, all known to both participants. In a trial, the 'sender' sees a randomly chosen card and concentrates on the design. The 'receiver' attempts to guess the identity of the card. Each of the five cards is equally likely to be chosen, and only one card is the correct answer at any point. Which of the following is an appropriate null hypothesis for this telepathy experiment? The proportion of correctly identified cards by the receiver is greater than 0.2 The proportion of correctly identified cards by the receiver is 0.2 The proportion of correctly identified cards by the receiver is something other than 0.2 The proportion of correctly identified cards by the receiver is less than 0.2 Which of the following is an appropriate alternative hypothesis for this telepathy experiment, if a two tailed test is to be used? The proportion of correctly identified cards by the receiver is greater than 0.2 The proportion of correctly identified cards by the receiver is 0.2 The proportion of correctly identified cards by the receiver is something other than 0.2 The proportion of correctly identified cards by the receiver is less than 0.2 Which of the following is an appropriate alternative hypothesis for this telepathy experiment, if a one tailed test is to be used? The proportion of correctly identified cards by the receiver is greater than 0.2 The proportion of correctly identified cards by the receiver is 0.2 The proportion of correctly identified cards by the receiver is something other than 0.2 The proportion of correctly identified cards by the receiver is less than 0.2
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
One classical experiment in extrasensory perception tests the ability of an individual to show telepathy - to read the mind of another individual. This test uses five cards with different designs, all known to both participants. In a trial, the 'sender' sees a randomly chosen card and concentrates on the design. The 'receiver' attempts to guess the identity of the card. Each of the five cards is equally likely to be chosen, and only one card is the correct answer at any point.
Which of the following is an appropriate null hypothesis for this telepathy experiment?
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The proportion of correctly identified cards by the receiver is greater than 0.2 |
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The proportion of correctly identified cards by the receiver is 0.2 |
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The proportion of correctly identified cards by the receiver is something other than 0.2 |
||
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The proportion of correctly identified cards by the receiver is less than 0.2 |
Which of the following is an appropriate alternative hypothesis for this telepathy experiment, if a two tailed test is to be used?
|
The proportion of correctly identified cards by the receiver is greater than 0.2 |
||
|
The proportion of correctly identified cards by the receiver is 0.2 |
||
|
The proportion of correctly identified cards by the receiver is something other than 0.2 |
||
|
The proportion of correctly identified cards by the receiver is less than 0.2 |
Which of the following is an appropriate alternative hypothesis for this telepathy experiment, if a one tailed test is to be used?
|
The proportion of correctly identified cards by the receiver is greater than 0.2 |
||
|
The proportion of correctly identified cards by the receiver is 0.2 |
||
|
The proportion of correctly identified cards by the receiver is something other than 0.2 |
||
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The proportion of correctly identified cards by the receiver is less than 0.2 |
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