SUMMARY
Critical Value
Approach
P- Value Approach
Critical value
approach:
Compare test
statistic to critical
value from normal
SUMMAR
Y
P-value approach:
Calculate
probability of
observed/more
extreme statistic
SUMMAR
Y
SUMMARY
Critical Value
Approach
P- Value Approach
• Critical Value
Approach
• P- Value Approach
ONE-SAMPLE Z-TEST
"With critical value
or p-value in sight,
the one-sample z-test
guides us right."

One-Sample Z-Test (Critical and P-Value).pptx

Editor's Notes

  • #1 In summary, the one-sample z-test can be conducted using either the critical value approach or the p-value approach.
  • #2 The critical value approach involves comparing the test statistic to a critical value from the standard normal distribution to determine statistical significance.
  • #3 The p-value approach involves calculating the probability of obtaining the observed test statistic or more extreme under the null hypothesis and comparing this to the significance level.
  • #4 Both methods provide a way to assess the statistical significance of the difference between the sample mean and the hypothesized population mean. The choice between the two approaches often comes down to personal preference and the particular needs of the analysis.
  • #5 Both methods provide a way to assess the statistical significance of the difference between the sample mean and the hypothesized population mean. The choice between the two approaches often comes down to personal preference and the particular needs of the analysis.