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1 | 1 | #3. Normality Test |
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5 | | -<figure><imgsrc="../.gitbook/assets/image (118).png"alt=""width="233"><figcaption></figcaption></figure> |
| 3 | +<figure><imgsrc="../.gitbook/assets/image (290).png"alt=""width="457"><figcaption></figcaption></figure> |
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7 | 5 | 1. Choose the_**Normality test**_ in the_**Statistics**_ category. |
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| 7 | +<figure><imgsrc="../.gitbook/assets/image (291).png"alt=""width="563"><figcaption></figcaption></figure> |
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11 | | -<figure><imgsrc="../.gitbook/assets/image (119).png"alt=""width="563"><figcaption></figcaption></figure> |
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13 | | -2. Select the test method to apply. |
14 | | -3. Choose the data to be tested. You can select values that satisfy certain conditions through[_**Subsets**_](../data-analysis/5.-subset.md). |
15 | | -4. Choose the column to be tested among the columns with the selected values from_**Step 3**_. |
16 | | -5._**Alternative Hypothesis**__**(Kolmogorov-Smirnov test)**_: Choose whether to perform a two-sided or one-sided test. |
17 | | -6._**Display**_: Select the Plot to be output along with the validation results. |
18 | | -7._**Code View**_: Preview the code that will be output. |
19 | | -8._**Data View**_: Preview the data that will be output. |
20 | | -9._**Run**_: Execute the code. |
| 9 | +2. On the top tab, select the test method you want to apply. |
| 10 | +3._**Data**_: Select the data you want to test. You can use_Subset to_ select values that meet certain conditions. Next, select the columns you want to test from the selected values. |
| 11 | +4._**Alternative hypothesis (Kolmogorov-Smirnov test)**_: Choose whether to perform a two-tailed or one-tailed test. |
| 12 | +5._**Display**_: Choose a plot to output with your results. |
| 13 | +6._**Code View**_: Preview the code that will be output. |
| 14 | +7._**Data View**_: Preview the data that will be output. |
| 15 | +8._**Run**_: Print and run the code. |
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