About Datasets:

Domain : Finance Project: Variance Analysis Datasets: Budget vs Actuals Dataset Type: Excel Data Dataset Size: 482 records

KPI's: 1. Total Income 2. Total Expenses 3. Total Savings 4. Budget vs Actual Income 5. Actual Expenses Breakdown

Process: 1. Understanding the problem 2. Data Collection 3. Exploring and analyzing the data 4. Interpreting the results

This data contains dynamic dashboard, data validation, index match, SUMIFS, conditional formatting, if conditions, column chart, pie chart.

Additional file 4: Table S3. This Excel sheet lists the percentages of variance explained by individual predictors for the K562 cell line (relates to main Fig. 2)

The Midrange Speakers market plays a pivotal role in the audio industry, offering a critical balance of sound quality that captures the rich, detailed frequencies between bass and treble. As an essential component in sound systems ranging from home theaters to professional audio setups, midrange speakers excel at de

The data were composed of datasets from four experiments, a meta-analysis, and a subgroup analysis. The total sample size was 481 participants. There are six Excel workbooks of the datasets, each of which consists of two worksheets for database and statement, respectively (refer to the ZIP file in Appendix A). The first four sheets are for the four experiments, respectively. In the sheet for each experiment, each row represents a participant. It is important to note that the sheet also contains data for excluded participants, which are marked by gray shadow. Each column represents one of the experimental variables, consisting of age, gender, cues, self-construal, allocation amount (i.e., indicator of prosociality), perceived anonymity, etc. The last two sheets are for the meta-analysis and the subgroup analysis, respectively. The meta-analysis and the subgroup analysis used the same participants that were recruited in the analyses of the four prior experiments. For the meta-analysis (see “5 Meta-analysis” in Appendix A for database), the mean, standard deviation and sample size of each experiment were extracted respectively and organized into a single excel sheet for further calculation. The rows indicate the experiments and the columns indicate related summaries including the experiment number, sample size, mean and standard deviation for the experimental (eye) condition, sample size, and mean and standard deviation for the control condition. For the subgroup analysis (see “6 Subgroup analysis” in Appendix A), the participants of each experiment were further segmented into an independence subgroup and an interdependence subgroup according to the measurement or the manipulation of self-construal. The mean, standard deviation, and sample size were then extracted respectively and organized into a single excel sheet for further calculation. The rows indicate the subgroups and the columns indicate related summaries including subgroup number, sample size, mean and standard deviation for the experimental (eye) condition, sample size, mean and standard deviation for the control condition, and the subgroup assignment (i.e., 1 = independent self-construal; 2 = interdependent self-construal).

Additional file 3: Table S2 . This Excel sheet lists the percentages of variance explained by individual predictors for the H1-hESC cell line (relates to main Fig. 2)

GCC Spinnaker Pole Market size was valued at USD 56.15 billion in 2021 and is poised to grow from USD 59.07 billion in 2022 to USD 88.61 billion by 2030, growing at a CAGR of 5.2% in the forecast period (2023-2030).

Additional file 2: Table S1 . This Excel sheet lists the percentages of variance explained by individual predictors for the Gm12878 cell line (relates to main Fig. 2)

Microsoft Excel file consisting of the data used to generate the results in the manuscript. Each column is labeled according to the abbreviations used in the text and additionally explained on a separate sheet. (0.17 MB XLS)

Original data: Excel file with values behind means and standard deviation used to build graphs.

We present a simple, spreadsheet-based method to determine the statistical significance of the difference between any two arbitrary curves. This modified Chi-squared method addresses two scenarios: A single measurement at each point with known standard deviation, or multiple measurements at each point averaged to produce a mean and standard error. The method includes an essential correction for the deviation from normality in measurements with small sample size, which are typical in biomedical sciences. Statistical significance is determined without regard to the functionality of the curves, or the signs of the differences. Numerical simulations are used to validate the procedure. Example experimental data are used to demonstrate its application. An Excel spreadsheet is provided for performing the calculations for either scenario.

Dataset on the prevalence and predictors of HIV viral load non-suppression (excel).

BackgroundThe Student Satisfaction and Self-Confidence in Learning Scale (SCLC) is widely used to measure satisfaction and self-confidence in learning. The 13-item scale includes two subscales: satisfaction with education (5 items) and self-confidence in learning (8 items), rated on a 5-point Likert scale. However, no validated Dutch version existed for pharmacy technicians, a group increasingly involved in complex healthcare roles. This study aimed to translate, adapt, and validate the SCLC for use among Dutch pharmacy technicians.MethodsThe SCLC was translated into Dutch following cross-cultural adaptation guidelines, including forward and back-translation by three bilingual experts. The questionnaire was administered to pharmacy technicians at Erasmus MC. Internal consistency was assessed using Composite Reliability (CR) and Average Variance Extracted (AVE). A confirmatory factor analysis (CFA) evaluated construct validity.ResultsA total of 129 pharmacy technicians completed the questionnaire. CFA indicated a good fit for a two-factor model, with a statistically significant Chi-square (p