Descriptive statistics are limited in so much that they
only allow you to make summations about the people or objects that you have actually measured
. You cannot use the data you have collected to generalize to other people or objects (i.e., using data from a sample to infer the properties/parameters of a population).
How can descriptive statistics be misleading?
The data can be misleading
due to the sampling method used to obtain data
. For instance, the size and the type of sample used in any statistics play a significant role — many polls and questionnaires target certain audiences that provide specific answers, resulting in small and biased sample sizes.
What are the advantages of descriptive statistics?
Descriptive statistics allow
for the ease of data visualization
. It allows for data to be presented in a meaningful and understandable way, which, in turn, allows for a simplified interpretation of the data set in question.
What is the major weakness of using the range as a descriptive statistic?
The disadvantage of using range is that
it does not measure the spread of the majority of values in a data set
—it only measures the spread between highest and lowest values. As a result, other measures are required in order to give a better picture of the data spread.
What does descriptive statistics not do?
Descriptive statistics do not, however,
allow us to make conclusions beyond the data we have analysed or reach conclusions regarding any hypotheses we might have made
. They are simply a way to describe our data.
What is the purpose of descriptive statistics?
Descriptive statistics can be useful for two purposes: 1)
to provide basic information about variables in a dataset
and 2) to highlight potential relationships between variables.
What are the four major types of descriptive statistics?
- Measures of Frequency: * Count, Percent, Frequency. …
- Measures of Central Tendency. * Mean, Median, and Mode. …
- Measures of Dispersion or Variation. * Range, Variance, Standard Deviation. …
- Measures of Position. * Percentile Ranks, Quartile Ranks.
How facts can be misleading?
“Facts can be so misleading,
where rumors, true or false, are often revealing
.” “Facts can be so misleading, where rumors, true or false, are often revealing.”
How do you know if statistics are misleading?
- Collecting: Using small sample sizes that project big numbers but have little statistical significance.
- Organizing: Omitting findings that contradict the point the researcher is trying to prove.
- Presenting: Manipulating visual/numerical data to influence perception.
What are some problems with statistics?
There are many more problems with statistics, including
bad sampling and choosing the wrong method of survey or interview
. If you are commissioning market research be sure to choose a company that understands the principles of basic statistical analysis and good survey design.
What are the pros and cons of descriptive research?
- The collection of data is quick and easy to conduct, especially when doing surveys.
- It allows you to collect data in a natural environment that gives high-quality and honest data collection.
- It is easier to make decisions and go further for data analysis.
What are the strengths and limitations of descriptive statistics and inferential statistics?
The strengths are
you can clarify large volumes of data with no uncertainties
. The weakness is there are no generalizations about the data and the results are not 100% accurate. Inferential statistics refers to a sampling of data, and does not refer to a whole data set.
Which method is a major kind of descriptive statistic?
The most recognized types of descriptive statistics are measures of center:
the mean, median, and mode
, which are used at almost all levels of math and statistics.
How do you report descriptive statistics?
When reporting descriptive statistic from a variable you should, at a minimum,
report a measure of central tendency and a measure of variability
. In most cases, this includes the mean and reporting the standard deviation (see below). In APA format you do not use the same symbols as statistical formulas.
What are the 3 types of statistics?
- Descriptive statistics.
- Inferential statistics.
What are the 5 descriptive statistics?
There are a variety of descriptive statistics. Numbers such as the
mean, median, mode, skewness, kurtosis, standard deviation, first quartile and third quartile
, to name a few, each tell us something about our data.