### Table 10. Summary of Hypothesis Testing Hypothesis Effect

2007

"... In PAGE 6: ...able 9. Factor Loadings and Cross-Loadings for Multi-Item Scales...........................................60 Table10 .... In PAGE 72: ... Similarly, there are indications that a more successful software product and a more successful project community can subsequently increase the size of the community. Table10 presents a summary of hypothesis support.... ..."

### Table 1. Results of Hypothesis Tests Hypothesis t-

### Table 18. Hypothesis and test statistics for signiflcance testing Hypothesis Test statistic

2003

"... In PAGE 97: ... Figure 14 de- picts the two one-sided hypothesis tests. Table18 lists the hypotheses for each test and its associated test statistic. X represents the sample mean.... ..."

### Table 3: Summary of hypothesis testing

2004

"... In PAGE 7: ...Table 3: Summary of hypothesis testing Table3 summarizes hypothesis testing for both the Phase 1 subjective tests and Phase 2 question-answering tests. DISCUSSION The perfect transcript style (C1) is tantamount to reading and, not-surprisingly, results from both Phase 1 (self-reported maximum) and Phase 2 (question-answering task) suggest this style is the best supplement to improving comprehension of speech playback.... ..."

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### Table 3: Summary of hypothesis testing

2004

"... In PAGE 7: ...Table 3: Summary of hypothesis testing Table3 summarizes hypothesis testing for both the Phase 1 subjective tests and Phase 2 question-answering tests. DISCUSSION The perfect transcript style (C1) is tantamount to reading and, not-surprisingly, results from both Phase 1 (self- reported maximum) and Phase 2 (question-answering task) suggest this style is the best supplement to improving comprehension of speech playback.... ..."

Cited by 10

### Table 2: Hypothesis test for means

2002

"... In PAGE 3: ... For this step, the hypothesis test for means, which involves a confidence interval estimate and a hypothesis test was employed with a confidence level of 95% (Himmelblau, 1970). Table2 shows the application of this methodology in analysis of plant data. The values in bold in groups 1 and 2 were not well adjusted during neural network training and it was not possible to identify groups of similar data sets for the cluster analysis; thus a hypothesis test for means analysis was performed.... ..."

### Table 6: Results of hypothesis tests

2002

"... In PAGE 9: ....3. Hypothesis tests Log-linear analysis permits one to analyze categorical data in much the same manner as in analysis of variance. The sampling distribution underlying Table6 is a product of independent multinomials. According to Bishop, Fienberg and Holland, the kernel of the appropriate likelihood function is the same as that for a simple multinomial or a simple Poisson [7].... In PAGE 10: ... Thus, we do not reject the null hypothesis (H0), and hence conclude that there is no interaction between these two factors. For the remaining hypothesis tests, we selected out only the data for a particular pair of criteria (indicated by the column labeled Hypothesis in Table6 ) and then tested for an interaction between these two by fitting the model described with and without the corresponding fault-type/criterion term. Table 6 summarizes the results of these tests.... In PAGE 10: ... For the remaining hypothesis tests, we selected out only the data for a particular pair of criteria (indicated by the column labeled Hypothesis in Table 6) and then tested for an interaction between these two by fitting the model described with and without the corresponding fault-type/criterion term. Table6 summarizes the results of these tests. The column labeled Hypothesis states the null (H0) and alternative hypothesis (H1) for each test.... In PAGE 10: ... 6. Discussion The three hypotheses in Table6 that tested the effectiveness of each coupling-based criteria against Branch Coverage indicate that the coupling criteria are better at detecting the object-oriented faults used in the experiment. A remaining question is which of the three coupling criteria is the most effective.... ..."

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### Table 6: Results of hypothesis tests

2002

"... In PAGE 9: ....3. Hypothesis tests Log-linear analysis permits one to analyze categorical data in much the same manner as in analysis of variance. The sampling distribution underlying Table6 is a product of independent multinomials. According to Bishop, Fienberg and Holland, the kernel of the appropriate likelihood function is the same as that for a simple multinomial or a simple Poisson [7].... In PAGE 10: ... Thus, we do not reject the null hypothesis (H0), and hence conclude that there is no interaction between these two factors. For the remaining hypothesis tests, we selected out only the data for a particular pair of criteria (indicated by the column labeled Hypothesis in Table6 ) and then tested for an interaction between these two by fitting the model described with and without the corresponding fault-type/criterion term. Table 6 summarizes the results of these tests.... In PAGE 10: ... For the remaining hypothesis tests, we selected out only the data for a particular pair of criteria (indicated by the column labeled Hypothesis in Table 6) and then tested for an interaction between these two by fitting the model described with and without the corresponding fault-type/criterion term. Table6 summarizes the results of these tests. The column labeled Hypothesis states the null (H0) and alternative hypothesis (H1) for each test.... In PAGE 10: ... 6. Discussion The three hypotheses in Table6 that tested the effectiveness of each coupling-based criteria against Branch Coverage indicate that the coupling criteria are better at detecting the object-oriented faults used in the experiment. A remaining question is which of the three coupling criteria is the most effective.... ..."

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### Table 4: Test of hypothesis 2

"... In PAGE 12: ...essential factor in shift-plan quality, independent of the individual social types involved. The experimental results clearly disprove this hypothesis, as Table4 shows. The values in this table are the mean of all settings in which one of our social types was involved (excluded are heterogeneous settings because these by definition consist of all social types).... ..."

### Table 3. Results of Hypothesis Testing

2003

"... In PAGE 9: ...ontent type was not a significant predictor of entertainment (H6a) at the quot; = 0.01 level, but was significant at quot; = 0.05. However, as hypothesized, content type was a significant positive predictor of informativeness (H6b) and negative predictor for irritation (H6c). Table3 summarizes the results of hypotheses testing. The control variable of coupon proneness was significant for purchase intention.... ..."

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