#### Univariate analysis using spss (data analysis part-9)

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We conduct Univariate analysis using spss to find the characteristics of this variable. Spss is a simple statistical analytics tool which is very easy to use and maintain.

### What is univariate analysis using spss?

It is the analysis of one random variable such as descriptive statistics (mean, variance etc.).
We have the following data set with the several highlighted variable.

Now we have to go to the following steps.

Let we have five variables named gender, age, gpa, social_media and result. If we analyze each of the variable separately then its called univariate analysis. we can find the mean, variance and other descriptive statistics using univariate analysis. For univariate analysis first we have to go to–

1.Analyze →→Descriptive statistics→→ Frequencies

Now we have to select all the variable and taking them into the empty box named Variable(s).

2.we have to click on Statistics

3. Select all the required area such as mean, median, standard deviation etc and click on Continue.

4. if we want the graph such as bar chart, pie chart then click on Charts and select the chart types and click on continue.

5. click on Ok .

6. Now we can see the output window as following.

### Releated

#### Normality checking of a data set using spss

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Spread the love          Normality checking is a procedure of check the normality of our working data set. Basically we check the normality using histogram. If the shape of the histogram is bell shaped then the data set follow the normal distribution. We also use the normality table including kolmogrov-smirnov test and shapiro-wilk test value. If the […]

#### Bivariate analysis using spss (data analysis part-10)

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Spread the love          Bivariate analysis using spss is very simple procedure of finding the association between two variables. Spss is a very simple data analytics tool by which we can perform our analysis very easily. Bivariate Analysis What is bivariate analysis? Bivariate analysis is the analysis of two random variable and find their association. For bivariate […]