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Spss 11.5 software for windows

Manufactured by IBM
Sourced in United States

SPSS 11.5 is a software application designed for data analysis and statistical computing. It is primarily used for the manipulation, analysis, and presentation of statistical data. The software provides a wide range of statistical techniques, including regression analysis, correlation, and hypothesis testing. SPSS 11.5 is available for the Windows operating system.

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12 protocols using spss 11.5 software for windows

1

Comparative Analysis of Experimental Groups

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The data are presented as the mean ± S.D. Statistical analysis was performed using Student’s t-test for two experimental groups. Significance was set at P < 0.05. Statistical significance was determined using Student’s t-test and ANOVA (F test) (SPSS 11.5 software for Windows, SPSS Inc., Chicago, IL, US).
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2

Leishmania Species Identification by PCR

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Polymerase chain reaction performed with specific primers of kDNA pattern of L. donovani (F: 5'TCGCAGAACGCCCCTACC3') and (R: 5'AGGGGTTGGTGTAAAATAGG3') (Tuba-Negin, Iran) that produced 615 bp fragment for L. major and 744 bp fragment for L. tropica. Amplification reaction mixture (25 μl) contained 20 μl PCR mixtures (dNTP's, MgCl2, primers and Taq DNA polymerase) and 5 μl extracted DNA.[13 ]
Amplification performed by a PCR Thermal Cycler-PC 818 (ASTEC, Japan) under the following conditions: Initial denaturation for 5 min at 95°C, followed by 38 cycles of 94°C for 30 s, 60°C for 45 s, 72°C for 60 s, ending by final extension at 72°C for 7 min. In every round of PCR two standard sample for L. major (strain MRHO/IR/75/ER) and for L. tropica (strain MHOM/01/IR/YAZA) as a positive control and distilled water as negative control were used.
Polymerase chain reaction products were analyzed by 1.5% agarose gel electrophoresis and visualized by  Uvitec System DOC-008.XD (UVItec Ltd, Cambridge, UK) after staining with ethidium bromide. 100 bp DNA Ladder was also used as the DNA size marker. Single fragments of 615 bp and 744 bp are indicative of the species L. major and L. tropica, respectively [Figure 2]. Statistical data analysis was performed using Chi-square tests in the software  SPSS 11.5 software for Windows, (SPSS Inc., Chicago, IL, USA).
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3

Statistical Analysis of Experimental Data

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The data are presented as the mean ± SD. Statistical
analysis was performed using Student’s t test (for two
experimental groups) and F-test (SPSS 11.5 software for
Windows, SPSS Inc., USA). The statistical significance
was set at P<0.05.
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4

Statistical Analysis of Experimental Data

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The results of multiple observations are presented as mean±sd of at least three independent experiments. Statistical significance was determined using Student's t-test (SPSS 11.5 software for Windows, SPSS Inc., Chicago, IL, US).
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5

Statistical Analysis of Experimental Data

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The results of multiple observations are presented as mean ± S.D. of at least three independent experiments. Statistical significance was determined using Student's t‐test and anova statistics (F‐test) (SPSS 11.5 software for Windows; SPSS Inc., Chicago, IL, US).
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6

Statistical Analysis of Experimental Data

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The results of multiple observations were presented as mean ± sd of at least three independent experiments. Statistical significance was determined using Student's t-test and One-way ANOVA(SPSS 11.5 software for Windows, SPSS Inc., Chicago, IL, US).
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7

Statistical Analysis of Experimental Observations

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The results of multiple observations are presented as the mean ± SD of at least three independent experiments. Statistical significance was determined using Student’s t test and one‐way ANOVA (SPSS 11.5 software for Windows; SPSS Inc, Chicago, IL, USA).
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8

Comparative Statistical Analysis of Groups

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All data were expressed as mean ± standard error of mean. Multiple groups were compared using one-way ANOVA with post-hoc multiple comparisons (SPSS 11.5 for Windows Software). Two groups were compared using an unpaired Student’s t test (two tailed). p values less than 0.05 were considered statistically significant.
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9

In Vitro Experimental Protocol

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All of the in vitro experiments were performed in triplicate, and data were presented as the mean ± standard deviation (SD) of three independent experiments. Wherever appropriate, the data were subjected to statistical analysis by a one-way analysis of variance (ANOVA) test followed by the Student-Newman-Keuls test for comparison of all pairs of means. A value of P<0.05 was considered to be statistically significant. SPSS 11.5 for Windows software was used for the statistical analysis. P-values <0.05 were considered significant.
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10

Comparative Statistical Analysis of Groups

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All data were expressed as mean ± standard error of mean. Multiple groups were compared using one-way ANOVA with post-hoc multiple comparisons (SPSS 11.5 for Windows Software). Two groups were compared using an unpaired Student’s t test (two tailed). p values less than 0.05 were considered statistically significant.
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