Name: 4.5 一方向分散分析 - ANOVA: PASW (SPSS) Statistics v.17 動画 (4.5 One Way Analysis of Variance - ANOVA: PASW (SPSS) Statistics v.17 video)
Uploaded: 2021-01-14T06:36:54.000Z
Duration: 4 min 50 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

In this module, we will be discussing One-Way   Analysis of Variance, otherwise known as ANOVA.

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This particular analysis can be used to test a difference   between two or more means in one single test.

So, in one way ANOVA the subjects are only classified   in one way and influenced by a single factor.

In saying that, with this test the total variations   are broken down into sub units.

The first one measuring between the sample means and   the second measurement is within a sampled population.

This test is used to test the hypothesis that several means are different

and we’re going to go ahead and begin working with this   particular analysis by opening up the second data file.

But before we do that, let’s look at our hypothesis.

For our real life scenario, we’re going to   play the role of aqua marine scientists.

In order for us to create an underwater sensor array, four different alloys

are purchased and tested for corrosion resistance.

Five plates of each type of alloy are placed   underwater for a total of 60 days.

After that final 60th day, the alloys were lifted and the   corrosion pits on each one of the plates were measured.

So our research question states 'Which of the alloys tested   would be appropriate for creating an underwater sensor array?'

For this research question our null hypothesis states the four alloys

exhibit the same kind of behavior and our not different from one another.

Our alternative hypothesis states the four alloys are different and   do not exhibit the same kind of behavior.

Ensure you have the alloy.sav file opened and to begin running this test,

click on the Analyze menu, select compare means then click on One-Way ANOVA.

In the One –Way ANOVA dialogue box, select the pits   variable. Transfer that variable to the Dependent List box.

Then select the alloy variable and transfer it to the Factor list box.

Before we complete and run the test, let’s select the Options button   in the upper right hand corner of the dialogue box.

Select the Descriptive text box. Select the Means   Plot text box. Click the Continue button.

And finally select the OK button to run your analysis.

In your output viewer, scroll down to your ANOVA table so   you can take a look at your significance value.

The Descriptives table provides you statistics on a number of different options.

For instance, it shows you how many of each   type of alloy you used with the “N”.

It also provides you the Standard Deviation and your Standard   Error for each one of the alloys.

Also, it provides the mean number of corrosion pits   on each one of the plates or alloys.

Recall that our null hypothesis is that the four alloy   kinds exhibit the same kind of behavior

Our alternative hypothesis states the four alloys are different   and do not exhibit the same behavior.

Point zero zero is way less than our .05 threshold   and in saying that the null hypothesis

can be rejected and we can conclude that the alloys are indeed different.

So now that we know that they’re different, maybe we would like   to know or find out which one of the alloys

are the most favorable to complete our underwater experiment.

For those of you who are visual learners like myself, this means plot   makes it easier for you to look at the difference

and compare different corrosion pits for each one of the alloys.

It places them on the plot and compares them side by side   and it makes it easier for you to see firsthand

exactly which one has the most and which one   has the least number of corrosion pits.