If you ask if psychology statistics has this post is for you
in this post, we’re going to respond to this question and also discover the hardest statistic math subject that psychology students study.
So if you don’t want to miss up on the whole information keep reading until the end, because we covered the whole curriculum statistics psychology program in this post.
Is psychology statistics hard?
Psychologist statistics is not a complex or hard math subject compared to engineering class, yes is a little bit demanding in terms of hard work and crafting. but it just requires the basics of algebra to absorb the old statistics Psychology major.
so there are no worries about studying some complex subject that engineer physicists study such as calculus.
to understand psychology statistics math you just have to have a good teacher and be a hard worker. Also, finally have the basic algebra foundations including arithmetics such as:
That’s it, this is all that you need to carry with you to start taking psychology math courses.
The hardest math statistics students study in psychology
Section 1: Descriptive statistics
Descriptive statistics is one of the hardest psychology Statistics math students study, is not that hard to be afraid of. But it requires some crafting or hard work by practicing multiple and understand the multiple topics of it.
the easy or simple explanation of descriptive statistics is it is used to represent a given data, for instance, how much the percentage of the population watching a specific a program on TV in the United States.
in this case, descriptive statistics measure the tendencies that principally include three important variables:
to put you in the perspective we’re going to use our previews example to explain these three important parts, for instance
==> Mean: Is the popularity of American people who watch or have the least time spent in front of the TV
==> Median: is the average People Who watch TV in the United States
==> Mode: is the portion of the US people who spend the maximum time watching TV
Normally these variables of descriptive state are represented such as in the graph below:
Normally in the physiology statistic program, you will study 4 principal subjects of descriptive statistics that are:
- Tables and Graphs
- Measures of Central Tendency
- Measures of Variability
- Normal Distributions and z-scores
- Correlation and Regression
But in general, these subjects aren’t tough they just have some concentration and hard work to absorb.
1 – Tables and Graphs
The first thing that you would discover in the descriptive Statistics, is to learn how to deal with the overall statistics information providers. So what do I mean by that?.
in other words, dealing with all sources that statistics have used to read, analyze and explain data. That is including:
for instance, you will first begin with learning and dealing with tables that represent data, meaning dealing with rows and columns. In the statistics psychology course you will learn how to analyze information resources including tables and graphs.
Also at the same time convert or gather information to transform a given problem and transform them into data.
For instance, you will learn how to read complex tables, That is to say, dealing with many rows and columns, then extracting the important necessary information from them.
2 – Measures of Central Tendency
Measuring Central Tendencies as a principal subject in psychology statistics is the three rules that we mentioned in the first explanation paragraph about descriptive statistics that’s are:
Each of these measures describes a different indicator of the value that relates to any statistics distribution.
Sometimes you have to be careful taking this part of the Statistics course, especially dealing with medians, it can be tricky And confusing to merge median and average. So Median is not always the average and vice versa.
This problem happened to some students who don’t take statistics psychology math as a serious subjects. that is to say, we don’t say that statistics psychology math programs are hard but not so much easy to overestimate.
3 – Measures of Variability
One of the Confusing psychology math statistics for so many students in understanding the measure of variability subject and descriptive statistics. This subject is a little bit difficult and requires some additional work to absorb.
As a simple explanation or approximation of measuring variability. In other words, is the method adopted to provide descriptive information about a portion of data. This part study how the variety of systems.
Let’s put it real-life example:
For instance, If you order a pizza from a restaurant every day the size that you would get of this pizza isn’t similar as you might be considering. In other words, the pizza size Monday day is a little bit bigger by 15 mm while the one that you ordered this Sunday might a smaller by 10 mm.
So here comes the measure of variability, in statistics we use the measure of variability methods to determine the average and the old variances of the size of the pizza that we get in every week or month.
A measure of variability subject has four principal or pillar tools:
- Interquartile Range
- and Standard Deviation
for more details, you can read this detailed article
4- Correlation and Regression
The last little complicated or hard subject that you would study in a statistics psychology course is correlation and regression.
correlation and regression are defined as the relationship between two variables for instance.
How much water do you need for a plant to grow at a certain level of altitude?.
So Your job will be to determine the coefficient that relates between a water volume and plant length.
So the correlation and regression subjects have some probabilistic or expectation science sense of logic.
Section 2: Inferential Statistics
After finishing the first math statistics sections that psychology students study, now is time to go and tackle the last or second section which is called inferential statistics.
Inferential statistics are made to determine the interference of all relations between variables and events. To clarify Psychologists’ students study inferential statistics estimations and hypotheses. let’s put it in the example to understand it well.
The first example :
Determined and make an estimation of how many people are getting an LSAT test score above 170. ( this test is made for lawyers students who want to join school lawyers), In general, is in estimation or calculation of the average.
The second example:
Testing the relationship between people who score well in high school classes and their Social family stability(income, the social relation between spouses, etc)
the inferential statistics subject is divided into 3 categories:
- Parametric Tests: t-tests
- Parametric Tests: ANOVA
- Non-Parametric Tests: Chi-Square
1 – Parametric Tests: t-tests
to understand t-tests parametric we need to put in an example:
let’s say that you are watering two plants, one plant with normal water and the other with a specific high concentrated mineral water.
in this case, a parametric test is to understand the difference or the effect of normal Water and high concentrated mineral water. Seeing the reaction or growth rate of each plant.
2 – Parametric Tests: ANOVA
ANOVA parametric test is one of the bits or difficult subjects in inferential statistics to explain. So for this reason, we recommend watching this video below to have an easy explanation better than written words.
3 – Non-Parametric Tests: Chi-Square
the last subject that you will study in this second section course statistics for a Psychology major is the Non-parametric test, especially the chi-square test.
to be honest Anova and chi-square are the hardest subject statistics that you might find some little difficulties with.
rather than, everything is smooth. so we will let you with this explaining video below.
To be honest, psychology has the easiest math compared to engineering mathematics or physics majors. So if you find yourself good at understanding this subject without any issue there is no worry about fading in psychology.
the most important thing is that we will recommend is to work hard and try to find or ask for support when you stuck in something.
you could read this related article: Calculus vs Statistics in high school
resources: psychology nova edu