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How to use SPSS for Marketing Statistical Analysis: T-testing

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How to use SPSS for Marketing Statistical Analysis: T-testing, Understanding the Results Continued: crwdns2935265:00crwdnd2935265:01crwdnd2935265:01crwdne2935265:0
Understanding the Results Continued
  • The second chart is the t-test:

  • This chart will be helpful to determine whether the results are statistically significant.

  • The first column is the t score of the data.

  • The second column is the degrees of freedom.

  • The third column is the sig value of the data.

  • P-value / sig.: The number that says where on a standard bell curve a value needs to be in order to be statistically significant [ex.: p-value of .05 means that a value must be outside the middle 95% of a bell curve to be statistically significant] (if we use this, we should probably have an image with it)

  • The final columns are the ranges inside the confidence intervals.

  • Confidence Interval Range: an interval that consist of a range of values that are likely to have the unknown parameter.

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