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Spss 17.0 windows

Manufactured by IBM
Sourced in United States

SPSS 17.0 Windows is a statistical software package used for data analysis and processing. It provides a range of tools for data management, hypothesis testing, and visualization. The software is designed to work on the Windows operating system.

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Lab products found in correlation

3 protocols using spss 17.0 windows

1

Evaluating Bt Resistance in Pests

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All statistical analyses were conducted using SPSS 17.0 Windows [46] . Descriptive statistics are given as mean values and standard errors of the mean. Because the data fit the assumptions for parametric analysis, the repeated measures ANOVA was used with the factors of generations and treatments for analysis of the population of P. xylostella on Bt and non-Bt plants and the survival on Cry1Ac leaves of P. xylostella larvae from adults taken from cages. The survival rates were transformed by square root before analysis. For each generation, the differences of resistance development and the population of P. xylostella and C. maculata were analyzed by one-way ANOVA, and means were compared by Tukey HSD, if the data fit homoscedasticity, and Games-Howell test if not. Differences of the mean values in the population of C. maculata per Bt plants between the treatments of refuge + C. maculata and sprayed-refuge + C. maculata were examined by independent t-tests. In all tests P values <0.05 were considered significant.
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2

Retrospective Analysis of Shoulder Trauma

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In this retrospective case study, all the analyses were completed using the SPSS 17.0 Windows (SPSS Inc., Chicago, IL, USA) statistics program. Age, time from trauma to surgery, operation time, incision, intraoperative bleeding, fixation removal time, Constant‐Murley and DASH score were analyzed using T‐test and presented as the median and standard deviations. Gender, classification, and fracture healing were analyzed using Chi‐square test. Significance was set at P < 0.05.
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3

Comparative Analysis of Physiological Measures

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The data were analyzed with SPSS 17.0 Windows (SPSS İnc, Chicago, IL, USA). Defining characteristics are presented as the average and percentage distribution. Averages are given as “average±standard deviation”. Power analysis indicated that a minimum of 200 people was needed for each group. The groups were compared with a chi-square test and t test based on the analysis method. For the statistical analysis of repeating data (VAS, pain scores, arterial blood pressure, pulse, breath rates, and body temperature), the data were compared with a repeated-measures ANOVA. Statistical significance was considered to be p<0.05 for all analyses.
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