Identify the best way to display statistics in a research report.
Answers
Answer:
IDENTIFY THE VARIABLES YOU HAVE AVAILABLE.
GENERATE A HYPOTHESIS.
RUN DESCRIPTIVE STATISTICS.
PUT TOGETHER YOUR FIRST TABLE.
Explanation:
Experimental studies
Present results in tables and figures.
Use text to introduce tables and figures and guide the reader through key results.
Point out differences and relationships, and provide information about them.
Include negative results (then try to explain them in the Discussion section/chapter)
Answer:
. Data display and summary
Types of data
The first step, before any calculations or plotting of data, is to decide what type of data one is dealing with. There are a number of typologies, but one that has proven useful is given in Table 1.1. The basic distinction is between quantitative variables (for which one asks "how much?") and categorical variables (for which one asks "what type?").
Quantitative variables can be continuous or discrete. Continuous variables, such as height, can in theory take any value within a given range. Examples of discrete variables are: number of children in a family, number of attacks of asthma per week.
Categorical variables are either nominal (unordered) or ordinal (ordered). Examples of nominal variables are male/female, alive/dead, blood group O, A, B, AB. For nominal variables with more than two categories the order does not matter. For example, one cannot say that people in blood group B lie between those in A and those in AB. Sometimes, however, people can provide ordered responses, such as grade of breast cancer, or they can "agree", "neither agree nor disagree", or "disagree" with some statement. In this case the order does matter and it is usually important to account for it.
Explanation:
I HOPE IT HELPS YOU