What's More Directions: Read the following statements carefully. Write ND if the statement describes a characteristic of a normal distribution, and NND if it does not describe a characteristic of a normal distribution. Write your answers on a separate sheet o раper. 1. The curve of the distribution is bell-shaped. 2. In a normal distribution, the mean, median and mode are of equal values. 3. The normal curve gradually gets closer and closer to 0 on one side. 4. The curve is symmetrical about the mean. 5. The distance between the two inflection points of the normal curve is equal to the value of the mean. 6. A normal distribution has a mean that is also equal to the standard deviation. 7. The two parameters of the normal distribution are the mean and the standard deviation. 8. The normal curve can be described as asymptotic. 9. Two standard deviations away from the left and right of the mean is equal to 68.3%. 10. The area under the curve bounded by the x-axis is equal to 1.
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
