Skip to main content

Population and Sample

A Population comprises of all elements showing the parameters of an individual or objects. Whereas, a Sample is a sub-set of a population showing statistics.

Comments

Popular posts from this blog

Probability

Probability  is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1, where, loosely speaking,0 indicates impossibility and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes (“heads” and “tails”) are both equally probable; the probability of “heads” equals the probability of “tails”; and since no other outcomes are possible, the probability of either “heads” or “tails” is 1/2 (which could also be written as 0.5 or 50%). Types of probability 1) Classical Probability – All sample points have equal chances of the event to happen. 2) Relative frequency- The probability of single data compared to the whole data i.e. possible event to happen relative to all the possible outcomes. 3) Subjectable -Individual, personal judgment to say the probability of t...

Simple linear regression

Simple linear regression   Purpose: To determine the relationship between IV and DV and to predict the value of the dependent variable (Y) based on the value of the independent variable (X). Requirement: Scales of measurement for variables: DV -interval or ratio IV -interval or ratio Descriptive : Steps: ·         Create a scatter plot graph to identify the line of best life, the purpose of the identity the trend of the data and predict the future. ·         Identify the intercept and slope of the regression line. Inferential steps: Steps: 1.       Conduct F test to predict equation and t-test to test the slop. Th purpose of the test is to find a relationship between IV and DV. 2.       Identify IV and DV 3.       State HO and HA 4.       Set ...

Frequency Distribution and Data Presentation

A  frequency distribution is a table that displays the frequency of various outcomes in a sample. Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and in this way, the table summarizes the distribution of values in the sample. Organizing Data. 1.Arrange data into an array 2. Decide on the number of classes( k) 3. Calculate the class interval 4. Prepare a tally sheet There are two types of Frequency:  Categorical frequency distribution. Grouped frequency distribution. Categorical Frequency Distributions The categorical frequency distribution is used for data that can be placed in specific categories or represent values of a qualitative variable. Grouped Frequency Distributions: When the data are numerical and their range is large, the data must be grouped into classes that are more than one unit in length. Histogram The histogram is an accurate graphical representati...