Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.When data is collected as part of the research process, the scores fall in some sort of order. Central tendency talks about the center of the distribution, while variability discusses the spread of scores within the distribution. The scores from particular survey instruments can be converted to standard scores to increase the understanding among and between researchers as well as to further describe how they fall within the distribution.Many statistical analyses use an assumption that data falls in a normal distribution. In this assessment, you will examine the normal curve as well as the area under the curve as it relates to standard scores.Probability examines the likelihood of an event occurring. In this assessment, you will look at probability as well as binomial distribution.This assessment focuses on measuring central tendency, especially the characteristics and calculating the mean, median, and mode. It will also help you practice your skills in variability, which is measured by range and standard deviation. The assessment also focuses on probability, which is the likeliness of a specific instance occurring.Preparation
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.Download and save the Assessment 2: Central Tendency and Probability [DOCX] worksheet. Complete the worksheet, and submit it for your assessment.Competencies Measured
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:Competency 1: Apply appropriate notation, terminology, procedures, and concepts to statistics problems.Describe a distribution with no errors.
Calculate measures of variability in Excel from a group of raw scores with one error.
Calculate measures of variability in SPSS from a group of raw scores with one error.
Compute probability with one or two errors.
Solve problems with information about normal distributions and probabilities with one error.
Calculate z scores using SPSS with no errors and identifies the required z-score.
Competency 2: Form logical conclusions about real world problems through descriptive and inferential statistical procedures.Interpret means and standard deviation in a chart with no errors.
Determine probability with one error.
SCORING GUIDEUse the scoring guide to understand how your assessment will be evaluated.VIEW SCORING GUIDE
and compare two different theoretical approaches to counselling and psychotherapy and in doing so discuss differences and similarities. One approach must be person centered therapy and the other is CBT.
Since different theoretical approaches offer different ways of understanding Counselling and Psychotherapy, you will explore the basic theoretical concepts of two of the models you have covered in the module with the assistance of solid academic references
? You will explain in detail why you have chosen the other approach apart from yours with emphasis on the theoretical concepts of the approaches
? Finally, you will critically evaluate and compare these different approaches to Counselling and Psychotherapy on a theoretical level, and thus you will be able to communicate this comparison to other professionals
Reference list
Corey, G. (2015) Theory and practice of counseling and psychotherapy (8th ed). CA Belmont: Thomson Higher Education
Culley, S.,
You will be responsible for creating an exam study outline, based on the book chapter you are assigned, and Essay
Psychology Assignment Help You will be responsible for creating an exam study outline, based on the book chapter you are assigned, and then sharing that outline with your peers. However, the structure and content of the outline is up to you. A NOTE OF CAUTION: Do NOT shortchange your peers or yourself by creating an insufficient outline. DO create the same type of outline that you would want to study from when preparing for a major exam. Remember, one of the goals of this exercise is to take some of the pressure from you and to also promote opportunities to study together.
Psychology2e-Textbook_PDF.pdf
Central Tendency and Probability #2
Complete problems that apply principles and procedures related to central tendency, variability, and probability.Introduction
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.When data is collected as part of the research process, the scores fall in some sort of order. Central tendency talks about the center of the distribution, while variability discusses the spread of scores within the distribution. The scores from particular survey instruments can be converted to standard scores to increase the understanding among and between researchers as well as to further describe how they fall within the distribution.Many statistical analyses use an assumption that data falls in a normal distribution. In this assessment, you will examine the normal curve as well as the area under the curve as it relates to standard scores.Probability examines the likelihood of an event occurring. In this assessment, you will look at probability as well as binomial distribution.This assessment focuses on measuring central tendency, especially the characteristics and calculating the mean, median, and mode. It will also help you practice your skills in variability, which is measured by range and standard deviation. The assessment also focuses on probability, which is the likeliness of a specific instance occurring.Preparation
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.Download and save the Assessment 2: Central Tendency and Probability [DOCX] worksheet. Complete the worksheet, and submit it for your assessment.Competencies Measured
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:Competency 1: Apply appropriate notation, terminology, procedures, and concepts to statistics problems.Describe a distribution with no errors.
Calculate measures of variability in Excel from a group of raw scores with one error.
Calculate measures of variability in SPSS from a group of raw scores with one error.
Compute probability with one or two errors.
Solve problems with information about normal distributions and probabilities with one error.
Calculate z scores using SPSS with no errors and identifies the required z-score.
Competency 2: Form logical conclusions about real world problems through descriptive and inferential statistical procedures.Interpret means and standard deviation in a chart with no errors.
Determine probability with one error.
SCORING GUIDEUse the scoring guide to understand how your assessment will be evaluated.VIEW SCORING GUIDE