Since 1884, climate records have been kept, and they show that Philadelphia experiences an average yearly snowfall of 22.3 inches. An illustration of descriptive statistics is this value.
<h3>
What is descriptive statistics in statistics?</h3>
The fundamental characteristics of a dataset identified in a particular study are described, illustrated, and summarized using descriptive statistics. The summary provides details on the data sample and its measurements. Analysts will understand the data more readily as a result.
<h3>
What can we conclude from descriptive statistics?</h3>
The features and value distribution of one or more datasets are summarized using descriptive statistics. The central tendency and degree of value dispersion in datasets can be quickly viewed by analysts using the traditional descriptive statistics.
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Answer:
<h2>The Communication Module (cmm) handles the exchange of messages between modules on different robots. As such it closely interacts with the Message System. From a user point of view, all Msg functions work as documented in "An implementation</h2><h2> for the Message System".</h2>
Explanation:
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Answer:
A. Require all employees to wear slip resistant shoes.
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<u>Options for this question</u>
A. Require all employees to wear slip resistant shoes.
B. Allow employees to eat one meal from an employee menu during their shift.
C. Train employees to provide great customer service.
D. Have employees set all the tables at the beginning of their shift.
Explanation:
Restaurants operate while maintaining high levels of hygiene. Cleaning is a continuous process as long as the restaurant is open. Due to this fact, the floor is bound to be slippery most of the time. With such conditions, slip-resistant shoes should be part of an employee's personal protection equipment, PPE.
A manager concerned with employee safety will insist on slip-resistant shoes to prevent workplace accidents. The other options are not about employee safety in the workplace.
Answer:
Mary has increased her data literacy skills that now allow her to access, interpret, summarize, and communicate data more effectively.
Explanation:
Data analysis is the process by which data is transformed in such a way that useful information can be extracted from it. Data analysis is a key skill that is needed in most business nowadays, for example; financial data can be very crucial in the planning, budgeting and execution of projects. The process of data analysis has been automated to take raw data and produce a result that can be readily consumed easily by humans in the form of charts and graphs. From this end result, conclusions can be drawn by data experts on what the results mean.
Experts in data analysis are therefor needed to adequately access, interpret, summarize and communicate data more effectively. These are skills that need to be learned for better overall quality of the data presentation. In general, the principals are referred to as data literacy skills. Data literacy can be defined as the ability of an individual to extract useful information from raw data.