All statistical calculations were made by use of IBM SPSS 23 statistical package and Excel 2016 spreadsheet. Quantitative variables were described with the arithmetic mean and standard deviation. The significance of differences between more than two groups was subject to the Kruskal–Wallis test (if a statistically significant result was obtained, a post-hoc Bonferroni test was carried out), and between two groups, the Mann–Whitney U test. Qualitative variables were subject to the Chi-squared test. In all calculations, the significance level of p ≤ 0.05 was assumed. The Kolmogorov–Smirnov test was applied to assess conformity of the distribution of analysed variables with the normal distribution.
Excel 2016 spreadsheet
Manufactured by IBM
Excel 2016 is a spreadsheet software application developed by Microsoft. It provides tools for organizing, analyzing, and visualizing data. Excel 2016 supports various functions and formulas for performing calculations, creating charts and graphs, and automating tasks.
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Lab products found in correlation
3 protocols using excel 2016 spreadsheet
1
Statistical Analysis of Quantitative and Qualitative Data
2
Nurses' Attitudes Towards Digital Health
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All statistical calculations were carried out using the IBM SPSS 23 statistical package and the Excel 2016 spreadsheet. Qualitative type variables were presented using cardinalities and percentages, and the quantitative variable was characterized using an arithmetic mean and standard deviation. The significance of differences between more than two groups was checked by the Kruskal-Wallis test (if significant differences were obtained, Bonferroni's post hoc tests were used, and between the two groups by the Mann-Whitney U test. In all calculations, the significance level was p ≤ 0.05. To determine the sample size, a calculator was used to compute the minimum (required) number of people in the sample (in the study on a sample coming from the population), assuming individual parameters. The confidence level for the result was established, which means how confident we can be in the obtained results, α = 0.95 means that it is 95%. Subsequently, we indicated the fraction size 0.5, the maximum error was 6%. The required number of people in the study was 266. The population size was estimated on the basis of the data from the National Chamber of Nurses and Midwives, and, as of December 31st, 2019, there were 257,833 employed nurses and midwives (NIPiP, 2020 ).
3
Hypertension Diagnosis in Triage Patients
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All calculations were performed using the IBM SPSS 23 statistical package and the Excel 2016 spreadsheet. Qualitative variables were presented using counts and percentages, and quantitative variables were characterized using the arithmetic mean and standard deviation. The significance of differences between the two groups was inspected with the Student t-test for independent samples. In order to find the relationship, strength, and direction between the variables, a correlation analysis was used to calculate the Spearman correlation coefficients. The features of normal distribution in the analyzed groups were verified using the Kolmogorov-Smirnov test. The c 2 test was used for qualitative variables. In all calculations, p ≤ 0.05 was assumed as the level of significance. In order to verify the hypothesis as to whether there was a high probability of a diagnosis of arterial hypertension in patients with elevated arterial pressure in the triage, Student t-tests were used.
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