STA301 Important Questions

STA301

Questions Answers

Pie Chart: Pie Chart consists of a circle which is divided into two or more mars in accordance with the number of distinct classes that we have in our data.

Statistical Inference:

Statistical Inference is an estimate or prediction or some other generalization about a Population based on information contained in a sample. Statistics: Statistics is that science which enables to draw conclusions about various phenomena one the basis of real data collected on sample basis. Sample: Sample is that part of the Population from which information is collected.

What is meant by order?

Order: Arrangement of objects in ascending or descending way is known as order.

Population:

The collection of all individuals, items or data under consideration in statistical study is called Population.

Nominal Scale:

The classification or grouping of observations into mutually exclusive qualitative categories are said to constitute a nominal scale e.g. students are classified as male and female.

Ordinal Scale:

It includes the characteristic of a nominal scale and in addition has the property of ordering or ranking of measurements e.g. the performance of students can be rated as excellent, good or poor.

Interval Scale:

A measurement scale possessing a constant interval size but not true zero point is called an Interval Scale.

Ratio Scale:

It is a special kind of an interval scale in which the scale of measurement has a true zero point as its origin. Median: Median of a set of values arranged in ascending or descending order of magnitude is defined as middle value if the number of values is odd and mean of two middle values if the number of values is even. Median is a value at or below which 50% of data lie. Average: A single value which intended to represent a distribution or a set of data as a whole is called an average. It is more or less a central value around which the observations tend to cluster so it is called measure of central tendency. Since measure of central tendency indicate the location of the distribution on X axis so it is also called measure of location.

Mean Deviation:

The mean deviation is defined as the arithmetic mean of the deviations measured either from the mean or from the median, all deviations being counted as positive.

Chebshev’sTheorm:

Chebyshev’s Theorem states that " For any number K greater than one at least 1-1/k2 of the data values fall within K standard deviations of the mean i.e. within the interval. Moments: Moments are the arithmetic means of the powers to which the deviations are raised. Kurtosis: kurtosis is the degree of weakness of a distribution usually taken relative to a normal distribution.

Correlation:

Correlation is a measure of the strength or the degree of relationship between two random variables. OR Interdependence of two variables is called correlation.