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The z-score is the number of standard deviations away from the mean that a data point is. To find the value of z for which 0.9426 of values are within z deviations of the mean, this means that (1 - 0.9426) = 0.0584 are beyond this interval, and this would be divided by 2: 0.0584 / 2 = 0.0292 of values are located below -z, while another 0.0292 is above +z.
Based on z-tables, this occurs at around z = 1.89, so the interval is from -1.89 to 1.89.

The value of z is [tex]1.89[/tex].

Z score also called standard score which given you an idea of how far from the mean a data point is.

The absolute value of z represents the distance between that raw score x and the population mean in units of the standard deviation. z is negative when the raw score is below the mean, positive when above.

The value of [tex]z[/tex] for which [tex]0.9426[/tex] of values are within the deviations of mean i.e,

[tex]1-0.9426[/tex] are beyond interval and further

[tex]Deviation\; from\; the\; mean = \dfrac{1-0.9426}{2}[/tex] of values are located below [tex]-z[/tex] while another [tex]\dfrac{1-0.9426}{2}[/tex] is above [tex]z[/tex].

So in z-tables, this occurs at [tex]z=1.89[/tex].

Learn more about z-tables here;

https://brainly.com/question/17756962?referrer=searchResults

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