Inference means taking information and making an assumption or guess about it. An inferential question is one that can't be answered by the information within the question itself, but that you must make an educated guess.
An example would be a question where you read about a train ride and the passage includes a description of tall buildings outside the windows. An inferential question would be "Was the train traveling through the country or a city?"
what is the time? what is the time?
A t-test is a inferential statistic. Other inferential statistics are confidence interval, margin of error, and ANOVA. An inferential statistic infers something about a population. A descriptive statistic describes a population. Descriptive statistics include percentages, means, variance, and regression.
Inferential questions would be those that require you to rationalize and draw conclusions based on information given. After reading a story a teacher may ask the class inferential questions such as: What came next? Why do you think the author chose this ending instead of another?
There is no inferential data. There is inferential statistics which from samples, you infer or draw a conclusion about the population. Hypothesis testing is an example of inferential statistics.
ANOVA is an inferential statistic used to test if 3 or more population means are equal or to test the affects of interactions.
After the examination of the symptoms and identify the nature disease such as blood test, imaging test, biopsies...
Select a journal article that involves a statistical study, and write a paper answering the following questions.(a) Is the study descriptive or inferential? Explain your answer. (5 marks
Inferential statistics. This branch of statistics involves making inferences or predictions about a population based on data collected from a sample taken from that population.
Descriptive statistics summarize and present data, while inferential statistics use sample data to make conclusions about a population. For example, mean and standard deviation are descriptive statistics that describe a dataset, while a t-test is an inferential statistic used to compare means of two groups and make inferences about the population.
Why are measures of variability essential to inferential statistics?
To ensure validity of test, one should prepare a table of specification to describe the topics to be covered in a test and the number of items or points which will be associated with each topic and to identify the achievement domains being measured and to ensure that a fair and representative sample of questions appear on the test.
We don't do test questions. That's cheating.