You should consider the following questions before and during the readings and assignments this week: What are the characteristics of a normal distribution?
The SMARTLab is a self-paced, online basic statistics course designed to prepare you for your graduate courses and graduate research. How are frequency distributions used to organize and graphically represent data? Aligns with CLOs 1 Explain the characteristics and usefulness of a normal distribution.
Learning Outcomes Upon successful completion of this week, students will be able to: What are the different measures of central tendency and variability?
The first week of the course provides a foundation of the study of statistics in the behavioral sciences. Illustrating Data Chapter 3: How are they calculated or determined?
Explain the difference between a sample and the population.
What can the shape of the frequency distribution tell us about the data? During this course, you will develop important critical thinking skills as you interpret and critique data analyses in various research designs. Applying statistics in research. What are the differences between the following concepts: Quantitative Problem Solving Chapter 2: What is the purpose of studying and understanding statistics, both descriptive and inferential?
Populations and Samples Lesson 2: When and why would we use z scores and means? In addition, you will explore the different ways of describing data using measures of central tendency, variability, and the normal distribution.
Mastery in these areas will improve your ability to effectively communicate and report statistical reasoning and results using professional language and APA formatting.
Basic Concepts The focus of this course is on understanding and properly using the concepts and language of descriptive and inferential statistics in the context of research. We will explore the basic concepts, characteristics, and types of statistics, variables, and distributions.
Variables and Measurement Lesson 4: Aligns with CLOs 1 Interpret z scores.
Aligns with CLOs 1 Identify the various attributes of a variable e.Descriptive Statistics: What Are They? Which Ones Will The Love Canal Study Use? When we talk about using descriptive statistics, we mean that we plan to use statistical tools that describe the data in a way that we can better understand them (what patterns do the data show, if any?
how are they distributed?
do they cluster in some way?). Sep 19, · Introduction: Basic Concepts. The focus of this course is on understanding and properly using the concepts and language of descriptive and inferential statistics in the context of research.
In descriptive statistics, we simply state what the data shows and tells us. Interpreting the results and trends beyond this involves inferential statistics.
The use of descriptive statistics in nursing research Christine llallett Lecturer, School of Nursing Studies, University of Manchester, Manchester Descriptive statistics offer nurse researchers valuable options for analysing and presenting large and complex sets of data, suggests Christine Hallett.
Interpretation and Use of Statistics in Nursing Research AACN Advanced Critical Care Volume 19, Number 2, pp– provided by nurses. Descriptive and Inferential Statistics Descriptive statistics are used to describe a study sample, whereas inferential statistics. In column A, the worksheet shows the suggested retail price (SRP).
In column B, the worksheet shows the units sold of each book through one popular bookselling outlet. You might choose to use the Descriptive Statistics tool to summarize this data set.Download