## Which one of these are the characteristics of a binary experiment?

A binomial experiment is one in which all four of the following conditions are met: The experiment consists n identical trials. Each trial produces one of two outcomes: success or failure. From trial to trial, the probability of success (denoted p) remains the same.

### Which of the following is not a characteristic of a binomial?

i. “The likelihood of failure may vary from trial to trial” does not represent a binomial distribution.

#### What is not a binomial experiment?

A non-binomial experiment may be considered binomial if the results of each trial are stated in a binomial format. A non-binomial example might be: “Count the heads and tails that result from 8 flips on a fair coin.”

**What are the 4 characteristics of a binomial distribution? **

1 The number of observations is set to 1. 2: Each observation can be taken independently. 3: Each observation can represent one of two outcomes (success or failure). 4: Each outcome has the same probability of success p.

**What is the skewness of normal distribution? **

The skewness of a normal distribution should be zero. Any symmetric data should also have a skewness close to zero. Data that is skewed to the left or right will have a negative skewness value.

## What are all standard scores based on?

Standard scores Test developers calculate the statistical mean based on students’ performance during the norming process. This score is given a value.

### Why do we use standard scores?

The standard score, also known as a “z-score”, is an extremely useful statistic that allows us to determine the probability of a score appearing within our normal distribution. It also allows us to compare scores from different normal distributions.

#### Which of the following is another name for the normal curve?

Also known as Gaussian curve, probability curve.