This document outlines the key goals and concepts covered in Chapter 6 of the textbook "Statistics for Managers Using Microsoft Excel". The chapter introduces continuous probability distributions, including the normal, uniform, and exponential distributions. It describes the characteristics of the normal distribution and how to translate problems into standardized normal distribution problems. The chapter also covers sampling distributions, the central limit theorem, and how to find probabilities using the normal distribution table.
The PPT covered the distinguish between discrete and continuous distribution. Detailed explanation of the types of discrete distributions such as binomial distribution, Poisson distribution & Hyper-geometric distribution.
The PPT covered the distinguish between discrete and continuous distribution. Detailed explanation of the types of discrete distributions such as binomial distribution, Poisson distribution & Hyper-geometric distribution.
Probability Distribution , Continuous and DIscreate Probability Distribution Mohanad Alani
Best explain the summary includes the following topics
Continuous and DIscreate Probability Distribution , binominal Distribution ,Poisson Distribution , Hypergeometric Distribution , Normal Distribution , Empirical Rule ,Stander normal table , Uniform Distribution , Exponential Distribution
“Segala bentuk penyajian dan promosi ide, barang atau jasa secara non-personal oleh suatu sponsor tertentu yang memerlukan pembayaran.” (Philip Kotler 2000:658)
Detail Description about Probability Distribution for Dummies. The contents are about random variables, its types(Discrete and Continuous) , it's distribution (Discrete probability distribution and probability density function), Expected value, Binomial, Poisson and Normal Distribution usage and solved example for each topic.
DBM380 v14Create a DatabaseDBM380 v14Page 2 of 2Create a D.docxedwardmarivel
DBM/380 v14
Create a Database
DBM/380 v14
Page 2 of 2Create a Database
The following assignment is based on the business scenario for which you created both an entity-relationship diagram and a normalized database design in Week 2.
For this assignment, you will create multiple related tables that match your normalized database design. In other words, you will implement a physical design (an actual, usable database) based on a logical design.
Refer to the linked W3Schools.com articles “SQL CREATE TABLE Statement,” “SQL PRIMARY KEY Constraint,” “SQL FOREIGN KEY Constraint,” and “SQL INSERT INTO Statement” for help in completing this assignment.
Note: In the industry, even the most carefully thought out database designs can contain mistakes. Feel free to correct in your tables any mistakes you notice in your normalized database design. Also, note that in Microsoft® Access®, you follow the steps below to launch the SQL editor:
Figure 1. To create a SQL query in Microsoft® Access®, begin by clicking the CREATE tab.
To Complete This Assignment:
1. Use the CREATE TABLE statement to create each table in your design. Note that a table in a RDMS corresponds to an entity in an entity-relationship diagram. Recommended tables for this assignment are CUSTOMER, ORDER, ORDER_DETAIL, PRODUCT, EMPLOYEE, and STORE.
2. As part of each CREATE TABLE statement, define all of the columns, or fields, that you want each particular table to contain. Give them short, meaningful names and include constraints; that is, describe what type of data each column (field) is allowed to hold and any other constraints, such as size, range, or uniqueness.
3. Note that any field you marked as a unique identifier in your normalized database design is a key field. Key fields must be described as both UNIQUE and NOT NULL, which means a value must exist for each record and that value must be unique across all records.
4. After you have created all six tables, including relationships between the tables as appropriate (matching the primary key in one table to a foreign key in another table), use the INSERT INTO statement to insert 10 records into each of your tables. You will need to make up the data you insert into your tables. For example, to insert one record into the CUSTOMER table, you will need to invent a customer number, a customer name, and so on—one value for each of the fields you defined for the CUSTOMER table—to insert into the table.
5. To ensure that your INSERT INTO statements succeeded in populating your tables, use the SELECT statement described in Ch. 7, “Introduction to Structured Query Language,” in Database Systems: Design, Implementation, and Management.to retrieve the records you inserted. For example, to see all 10 records you inserted into the CUSTOMER table, you might apply the following SQL statement: SELECT * FROM CUSTOMER;
After you have created all six tables and populated ten records in each table, submit to the Assignment Files tab the database containin.
Suatu integrasi dari prinsip teori-teori inovasi dikemukakan oleh Edwin Locke yang meliputi 6 langkah : Needs, Valiees, Goals, Performance, Rewards, Satisfaction
Pengawasan merupakan salah satu fungsi dalam manajemen suatu organisasi. Dimana memiliki arti suatu proses mengawasi dan mengevaluasi suatu kegiatan. Suatu Pengawasan dikatakan penting karena Tanpa adanya pengawasan yang baik tentunya akan menghasilkan tujuan yang kurang memuaskan, baik bagi organisasinya itu sendiri maupun bagi para pekerjanya
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP