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t-Tests Testing Hypotheses for Means Ashita Patel Walden University RSCH 8210 1
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t-Tests Scenario 1: one-sample t test Q46a: Level of Democracy: today ONE- SAMPLE STATISTICS N Mean Std. Deviation Std. Error Mean Q46A. LEVEL OF DEMOCRACY: TODAY 46940 5.52 2.883 .013 ONE- SAMPLE TEST TEST VALUE = 6 t df Sig. (2- tailed) Mean Difference 95% Interval of Lower Confidence the Diff. Upper Q46A. LEVEL OF DEMOCRACY: TODAY 415.007 46939 .000 5.522 5.50 5.55 According to Laerd Statistics, a one-sample t-test is utilized to determine whether a sample comes from a population with a specific mean; this mean may be hypothesized (n.d.). This data assesses whether perceptions about current levels of democracy statistically differ from a value of 6. (Walden University, 2019). The null hypothesis is stated as, there are no differences in the perceptions about levels of democracy. The alternative hypothesis is stated as, there are differences in the perceptions about levels of democracy. The results indicate the probability value of .000 is less than .05, thus demonstrating statistical significance and rejecting the null hypothesis; t (46939)= 415.007, p < .05 (.000). Rejecting the null hypothesis implies current levels of democracy statistically differ from a value of 6 (Walden University, 2019). This statistic is meaningful as it is applied to the real-world due to testing the perceptions of African Citizen’s perception about levels of democracy. These perceptions may have great impact on social change issues in Africa, thus examining this data is imperative.
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  • Summer '17
  • Madia Levin
  • Statistics, Statistical hypothesis testing, Student's t-test

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