SPSS is one of the best tool out there when it comes to STATISTICAL ANALYSIS for research and project.
It can also be used for DATA ANALYSIS too
So I’m putting up these thread of steps on how to download for free and install it😊
Retweet cos, it’s a THREAD 🧵
First I need y’all to know that I can perform statistical and data analysis for your projects, research and academics with SPSS, mini tab, stata and excel.
My dm is opened for business 😊
And if you are willing to start DATA ANALYSIS or DATA SCIENCE… I have a YouTube channel where I teach the needed statistics from the basics.
Check my pinned tweet for the syllabus and link below to my statistics playlist ⬇️
Step 1 : google search “get into pc” and click on their link (I could not post the link here)
You will be approached by interface…. For a weird reason I could not download with chrome… so I advice you use opera or any other browser
Step 2: click on the “search” button and search for “IBM SPSS”
Step 3: you would be faced with couple of choices, but I chose the latest upload- the first one “IBM SPSS 2022”
Step 4: you will be met with this page then click on “download full setup”
Step 5: your download is gonna be a zip file.
Which you will be using preferably “Winrar” to extract
Step 6: this is the downloaded zip file in it directory(downloads in this case) and when you click on it, it will ask for a password which is “123”
Step 6: after putting in the password, you will be met with this screen ⬇️.
Click on “extract to”
Step 7: extract the file to where ever you want to.
I chose “download” you can choose anywhere you want.
Step 8: after extracting, it would create a folder for you.
Click on that folder created until you will see the application itself, “crack” and “if206”.
PS : don’t install the app yet
Step 9: click on the “crack” and copy the “iservrc” file.
Step 10: after copying the “iservrc”, you will now go and paste it to the folder created for SPSS in the program files.
Go to your file manager, locate “program files”, locate “IBM”, locate “spss”, locate “statistics” and locate “27” then paste the “isercvc” there.
Step 11: you will go back to the file that was created by the zip file and copy “JRE” - this time you would be clicking on “IF026 update” and copy “JRE” then copy this also into the SPSS in program files just like you did for the “iservc”
Step 12: now you can now install the app by clicking on “spss_statistics_client_27.0”
Follow the instructions to install and viola…. You now have SPSS 27 😊
I hope I have been able to help you get SPSS 27.
Please don’t forget to retweet, like and also follow me for more.
I drop useful threads about and relevant resources😁.
Thanks for making to the end and we see in the next one… bye 🙏🏻
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During the analysis of the SUPERSTORE DATASET, I realized that the profit from CALIFORNIA is slightly greater than that of NEW YORK.
From the surface… I should conclude California is a better state than New York…. But I did not 😏
Why 🧐…. STATISTICAL SIGNIFICANCE
Let me explain STATISTICAL SIGNIFICANCE to you like a 5 year old.
Retweet because….. IT’S A THREAD 🧵
You see, the whole of INFERENTIAL STATISTICS is all about decision making.
You extract a sample or couple samples from a population or populations and you compare and contrast to see if there is a difference or relationship between them and make a final conclusion in the long run.
The conclusion you will be making will be referenced to two sentences - NULL and ALTERNATIVE HYPOTHESIS.
Let me start with 2 samples and in this case I will be using the profit from the state of California and New York regarding the superstore dataset.
This is my PHASE 2 of the superstore dataset analysis.
In this thread, I will be talking about the categories and sub categories of goods and how they relate with PROFIT, SALES, and DISCOUNT all based on REGION 🗺️
Kindly retweet like and follow for more.
It’s a THREAD 🧵
In the PHASE 1 of the analysis of the superstore dataset, I talked about profit, discount and sales regarding the states.
The conclusion was that NEW YORK is the most profitable state to pay attention to 🤗
Below is the link to that thread… you might want to read that before getting to this ⬇️
I will also be linking the dataset right here…. This way anyone can use their approach to draw insights from this dataset.
Please do tag me when you make a thread 🙏🏻
STATISTICAL ANALYSIS is the usage of statistical concepts and techniques to summarize and draw out conclusions from data set.
STATISTICAL ANALYSIS can be used by DATA ANALYST for exploring and uncovering patterns while DATA SCIENTIST use it to build models
We have 7 types of STATISTICAL ANALYSIS… this is a THREAD about them.
Kindly retweet, like and follow for more 🙏🏻
DESCRIPTIVE ANALYSIS
This is the combination of GRAPHS and NUMBERS to summarize the data…… emphasis on the word “summarize”.
The usage of GRAPHS is known as “DATA VISUALIZATION” and the usage of numbers can either be the measure of tendency which consist of mean, median and mode, or the measure of dispersion which consist of mean absolute deviation (MAD), variance, range etc
INFERENTIAL ANALYSIS
If descriptive analysis helps us to summarize the data set, inferential analysis helps us to make conclusion from the data as a whole using these summaries 💯
This type of analysis make conclusion on a POPULATION by making inference on the SAMPLE
Inferential statistics includes the likes of
-Hypothesis test (Z test, T test, ANOVA, etc)
-Confidence interval
-Sampling and sampling distributions
MULTIPLE LINEAR REGRESSION is one powerful concept in statistics.
It is the basis of SUPERVISED LEARNING.
But some conditions must be satisfied before we can use this technique
This is a thread of the assumptions for MULTIPLE LINEAR REGRESSION
Retweet cos…. It’s a THREAD 🧵
Before we start, just want to let you know that I have a YOUTUBE CHANNEL where I teach the needed statistics for DATA ANALYSIS AND DATA SCIENCE… you can check it out below ⬇️
1) LINEARITY
The dependent variable (y) must have a linear relationship with each the independent variables (x1, x2, x3….. xn).
The linear relationship can either be positive (both changing in the same direction) or negative (both changing in opposite direction)
What are they??
And is their any form of relationship between these 3?
Well let’s find out in 3 minutes ☺️
Retweet …… cos it’s a THREAD 🧵
CORRELATION
Correlation is used to test for the strength and direction of association between 2 variables
If the association causes the variables to change in the SAME direction, we have a POSITIVE CORRELATION.
If the change is in OPPOSITE direction, we have NEGATIVE correlation
If we can’t see any form of change between the two variables… then we have a ZERO or NO CORRELATION.
A scatter plot is a graph that we can use to visualize correlation.
A correlation coefficient is a number (between -1 and +1) to quantify correlation
SINGLE BAR CHART
This is basically used to visualize a single categorical variable (univariate analysis)
On the horizontal axis, we have the variable… on the vertical axis, we have the frequency.