It is the branch of mathematics that deals with the likelihood or chance of different outcomes occurring in random experiment

It qualifies how likely an event to happen ranging from 0 to 1

It is a specific outcome or a set of outcomes from a random experiment

The set of all possible outcomes of a random experiment

The ratio of the number of favorable outcomes to the total number of possible outcomes

What are the types of probability?

It is based on reasoning or calculations

It is based on actual experiments or historical data

It is based on personal judgment or experience

It is the sum of all the values in the set divided by the number of values

It is the middle value in a set when the values are arranged in ascending or descending order

If the data set has an odd number of values, where does the median located?

If it has an even number of values, where does the median located?

It is the value that appears most frequently in a data set

A data set can have more than one mode if multiple values have the same ______ Or it can have a no mode if all values are _______

It is the set of all possible possible outcomes of random experiment. It provides comprehensive list of everything that can happen in that experiment.

It can be defined as certain likely outcomes of an experiment that form a subset of a finite sample space

Events in probability can be defined a certain likely outcomes of an experiment that form a subset of _____

It refers to all outcomes in the sample space that are not part of the event itself

It includes all outcomes where some event does not occur

What are the key properties of complimentary events?

It is an event where it’s complement, cannot occur at the same time

It is an event where it’s complement, cover all possible outcomes in the sample space

The probabilities of an event, and it’s compliment always add up to one

It refers to the event that both events occur simultaneously

These are events that cannot occur at the same time

If one event happens, the other cannot this event is called

From mutually exclusive event, probability of either event occurring in the sum of the individual probabilities

It refers to the event that at least one of events occurs

It helps us find the probability of two events happening together

There are two versions of multiplication rule

It is the probability that both events occurring is the product of their individual probabilities

It is where the probability of both events occurring as the product of the probability of the first event, and the conditional probability of the second event, given that the first event has occurred

It refers to an arrangement of objects in specific order

It is the arrangement of items in a circle and starting point is not fixed

This is where the formula adjust to account for the repeated items

It is used to determine the number of ways to choose a subset of items for larger set where the order of the selection does not matter

It is often used in probability to calculate the number of ways to arrange or select objects

It is the product of our positive integers

It’s states that the sum of probability of an event, and the probability of its compliment is always equal to one

It is the probability of an event occurring given that another event has already occurred

What is the significance of conditional probability?

It is the probability theory that describes how to update the probability of a Hypothesis base on any new evidence

represents in numerical value associated with each outcome of a probability distribution

A random variable is discreet if it has _______ Possible outcomes that can be listed

A random variable is continuous if it has _______ Represented by the intervals on a number line

It is equal to the mean of random variable

At least each possible value, the random variable can assume together with its probability

What are the two conditions of discrete probability distribution?

It is denoted by the FFX measures the probability, the random variable X assume a value less than or equal to one

It is the adding app of the probabilities up to a certain value

What are the following condition that satisfies the binomial experiments?

It has a probability, assuming exactly any of its values

It has number of values they can assume is non-countable

There are an ______ Possibilities that the land could be so the probability could be zero

It is a function that describes how likely particular outcomes or intervals deals with the continuous random variables

It is the probability that the random variable X is between values

If you take all the probabilities that are variable could be, then they’re probabilities must

The normal density function was proposed by

It is defined as second continuous frequency, distribution of infinite range

It is a descriptive model that describes the real world situations

These are lines that shows the location of the individuals along the horizontal axis, and within the range of possible values

Describes the overall pattern of a distribution the area under the curve, and above any range of values on the horizontal axis is the proportion of all observations that fall in that range

The overall pattern of a distribution under the area under the curve, and above any range of values and horizontal axis, is the _______ Of all observations that fall in that range

It is the balance point in a density curve

It is an equal areas point or the point that divide the under the curve in half

The mean, and the median are the same for _________

They both lie at the center of the curve

It is described by a normal density curve

It is any particular normal distribution is completely specified by two numbers

Where is the distance from the center to the change of curvature points on either side

Normal distribution are symmetric around _____

The main median and mode of a normal distribution are ______

Normal distribution are ________ In the center and _______ in the tails

How many percentage of the area of of a normal normal distributions are within one standard deviation of the mean?

Approximately what percentage of the area of a normal distribution is within two standard deviation of the mean

It is a value from any normal distribution that can be transformed into its corresponding value

In standard normal distribution Z is what

A standard normal distribution X is what

Grouping or subset of items

It is the measure of dispersion, or scatter in the possible value for X in a random variable

It uses weight as the multiplier of each possible square deviation

Is a weighted Average average of the possible values of X with weights equal to the probabilities

FFFX is the probability mass function of loading on long, thin beam. It is the point at the beam balances.

It describes the center of distribution of X in a manner similar to the balance point of loading

If the semester of the center or middle of the probability distribution

It is the measure of a dispersion or variability in the distribution

It is a description of the probabilities associated with the possible values of X

Specified by just a list of the possible values, along with the probability of each

It is denoted by an uppercase letter, such as X

It is a function that a science are real number to each outcome in the ample space of veranda experiment

It’s used to distinguish between a random variable, and the real number

It is the variable that associates a number with the outcome or experiment

It is a random variable with an interval of real numbers for its range

Can be used to describe the probability distribution of a continuous, random variable

Provides a simple description of the probabilities associated with a random variable

It is an approximation to probability density function

The distribution is often specified by just a list of the possible values, along with the probability of each

It is the distance from the center to the change of curvature points on either side