Study with Quizlet and memorize flashcards containing terms like When is it appropriate to use a one sample z test, What does the z in Z-test represent? What similarity does it have to a simple z or standard score?, Write out a research hypothesis for this situation: Bob wants to know whether the weight loss for his group on the chocolate-only diet is representative of weight loss in a large
The standard deviation is 0.15m, so: 0.45m / 0.15m = 3 standard deviations. So to convert a value to a Standard Score ("z-score"): first subtract the mean, then divide by the Standard Deviation. And doing that is called "Standardizing": We can take any Normal Distribution and convert it to The Standard Normal Distribution.
Z-Test: A z-test is a statistical test used to determine whether two population means are different when the variances are known and the sample size is large. The test statistic is assumed to have
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The Average Nearest Neighbor tool returns five values: Observed Mean Distance, Expected Mean Distance, Nearest Neighbor Index, z-score, and p-value. The values are written as messages at the bottom of the Geoprocessing pane during tool execution and passed as derived output values for potential use in models or scripts.

The z-score of the sample mean is calculated as follows: z = (x̄ -μ)/SE = [ (85 - 70)]/15 = 1.0. It means that the sample mean x̄ is 1 standard deviation away from the mean of the sampling distribution. Z-score or Z-statistics can be used to perform hypothesis testing for the following scenarios:
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    • what does the z score represent