# Descriptive statistics and data visualizations ( no plagiarism)

#### Introduction

Descriptive statistics play an important role in analyzing data. It numerically summarizes key characteristics of variables. Measures of central tendency (mean, median, and mode) and dispersion (variance, standard deviation, and range) characterize the probability distribution. A histogram visualizes the distribution of numerical data, indicating the number of data points that lie within a range of values. For this assignment, you will perform descriptive statistics and create a histogram for selected variables in a dataset.

#### Preparation

The dataset contains the following variables:

• Utilization﻿ (average number of patient days per month)﻿.
• Satisfaction (patient satisfaction scores percentile rank).

#### Instructions

Nursing home administration has the objectives of higher utilization, higher patient satisfaction, and lower readmissions, and they need to make a decision on whether to retain the department manager based on average performance over the past 70 months.

For this assignment, create a descriptive statistics table and histogram based on the Assignment 1 Dataset. Write a narrative summary in a Word document and insert the table and histogram graphic into this document. See the “Copy From Excel to Another Office Program” resource for instructions. Submit both the Word document and the Excel file that shows the descriptive statistics output.

The numbered assignment instructions outlined below correspond to the grading criteria in the Descriptive Statistics and Data Visualizations Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed.

1. Perform the appropriate descriptive statistics for selected variables in a dataset.
• Report descriptive statistics table with measures of central tendency and dispersion.
2. Create a histogram that visually depicts the distribution of selected variables in a dataset.
3. Interpret statistical results of a data analysis.
4. Write a narrative summary of the practical, administration-related implications of the descriptive statistics.
• Write a separate summary for the histogram.
5. Write clearly and concisely, using correct grammar, mechanics, and APA formatting.