Data were analyzed using IBM® SPSS® Statistics Windows (version 23.0; IBM Corporation, NY). Results are presented as mean ± standard deviation, median (interquartile range), and frequency (percentages), as appropriate. The independent t test and Mann–Whitney U test for between-group analysis were used for normally and not-normally distributed continuous data respectively. Repeated measure analysis of variance was used for intra-group analysis where applicable. The chi-squared test was used for categorical variables. Pearson’s correlation coefficient was used to analyze the relationship between dermatomal spread and cumulative morphine consumption. Statistical significance was set at P < .05.
Spss statistics windows version
Manufactured by IBM
Sourced in United States
SPSS® Statistics Windows is a software application developed by IBM that provides advanced statistical analysis capabilities. The core function of this product is to enable users to perform a wide range of statistical analyses, including descriptive statistics, inference, modeling, and more. The software is designed to work on the Windows operating system.
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Lab products found in correlation
4 protocols using spss statistics windows version
1
Analyzing Postoperative Pain Management
2
Factors Influencing Follow-Up Duration
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Data were analyzed using IBM SPSS Statistics Windows, version 20.0 IBM Corp., (Armonk, NY, USA). Association between duration of follow-up and age, sex, distance traveled, occupation, and education was analyzed using Chi-square test with a level of significance set at <0.05.
3
Evaluating Acupuncture Effects on ASD
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Data analyses were conducted on all treatment responders. An alpha level of 0.05 was used for all statistical tests. The mean score and standard deviation at the 1st and 30th treatment section were analyzed using paired t test. The effect of acupuncture on natal and regressive ASD patients of different ages was evaluated by means of independent t-test and analyses of variance (ANOVAs). Pearson Chi square tests were used to show the correlation among the type of onset of ASD, personal history of allergic disorder and family history of allergy. All the calculations were performed on software IBM SPSS Statistics (Windows, version 21).
4
Predicting Lower Permanent Canine and Premolar Widths
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The mesiodistal widths of the lower permanent canine and premolars were estimated by the following regression equation: Y = 3.763 + 0.37 × X0 + 1.057 × X1 + 0.366 × X2, where X0 is the sum of the of the upper and lower permanent central incisors plus the widths of the upper permanent first molars, X1 is 0 for the mandible and 1 for the maxilla, and X2 is 0 for female and 1 for male.[7 (link)]
The actual measurements taken from the dental study casts were then compared to those predicted using the Tanaka and Johnston method, and discrepancy between the two values was calculated. The new regression equations were determined using the lower four permanent incisors as predictors for the sum of the widths of lower permanent canine and premolars. The correlation and determination coefficients were also obtained.
To test the reliability of the measurements, all measurements were made by single observer and triple determination on a total of 20 randomly selected dental study casts was performed. The measurements were made for three times at an interval of 1 week to check the intraobserver bias. A total of 20 study models were analyzed for three times by the same observer and a mean value was obtained. The data thus obtained were subjected to statistical analysis using IBM SPSS Statistics Windows version “20.0” (IBM Corp., Armonk, New York, USA).
The actual measurements taken from the dental study casts were then compared to those predicted using the Tanaka and Johnston method, and discrepancy between the two values was calculated. The new regression equations were determined using the lower four permanent incisors as predictors for the sum of the widths of lower permanent canine and premolars. The correlation and determination coefficients were also obtained.
To test the reliability of the measurements, all measurements were made by single observer and triple determination on a total of 20 randomly selected dental study casts was performed. The measurements were made for three times at an interval of 1 week to check the intraobserver bias. A total of 20 study models were analyzed for three times by the same observer and a mean value was obtained. The data thus obtained were subjected to statistical analysis using IBM SPSS Statistics Windows version “20.0” (IBM Corp., Armonk, New York, USA).
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