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Critical values are basically cut-off values that indicate regions where the test statistic is unlikely to lie. The required critical value is 1.31.
What are critical Values?
Critical values are basically cut-off values that indicate regions where the test statistic is unlikely to lie; for example, if the null hypothesis is true, the critical value is surpassed with probability alpha.
The value of α can be written as,
α = 1 - 0.81 = 0.19
[tex]z_{\frac{\alpha}{2}} = \dfrac{0.19}{2}= 0.095[/tex]
Now, using the z-table the value of z will be,
z = 1.31
Hence, the required critical value is 1.31.
Learn more about Critical Values:
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