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Two Sample Z Test |
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Description |
Two sample Z test is a statistical test used to determine whether there is a significant difference between the means of two independent variables. |
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Why to use |
To compare the means of two independent variables |
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When to use |
· When population variance is known. · When sample sizes are more than 30. |
When not to use |
· When population variance is unknown. · When sample sizes are less than 30. |
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Prerequisites |
· Two independent samples · Each population must be normally distributed |
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Input |
Two independent variables |
Output |
· Level of Significance · Z Statistic · P Value · Sample Mean Var 1 · Sample Mean Var 2 · Degree of Freedom · Alternative Hypothesis · Interpretation |
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Statistical methods used |
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Limitations |
· Less reliable for small sample sizes |
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Field |
Description |
Remark |
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Run |
It allows you to run the node. |
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Explore |
It allows you to explore the successfully executed node. |
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Vertical Ellipse |
The available options are: · Run till node · Run from node |
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Task Name |
It is the name of the task selected on the workbook canvas. |
· You can click the text field to edit or modify the task's name. · Space between words is not allowed in the Task Name. |
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Independent Variable 1 |
It allows you to select the first independent variable. |
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Independent Variable 2 |
It allows you select the second independent variable. |
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Advanced |
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Alternative |
· It allows you to select the alternative hypothesis test. · Available options are o Two-sided o Larger o Smaller · By default, the Two-sided test is selected. |
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Add result as a variable |
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