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Your Career in Psychology

Bria Malone

Capella University

Abstract

The complete principle objective of this paper is to demonstrate the counseling techniques in my psychology career. I have prior experience working with children and young adolescent with to depression, anxiety and behavioral disorders. The ideal of the scholar practitioner defines this effort in terms of lifelong learning that expands the individual's capacity for insight, reflection, and effective action. The assurance in counseling as a promising practitioner-scholar is that it will provide great experiences for me in the future. Counseling has always been a compromising task; which has been a passion and desire for me for many years. Over the years my vision and goals has not changed. However, it has expanded me to reach out to young women and men and help them with their capability to accomplish everyday life struggles. All of these researchers (Miles, J, Detweiler, M. and Nader, J .connects in the child development and practice that is substantially connected with children behavioral disorder needs.

Your Career in Psychology

Introduction

In my own words what describes a good career in psychology is someone who has the ability to study the mind and behaviors of individuals. I have a passion and desire to help children and young adults, who have neglected but, not abused. I also counsel children with emotional behavioral problems, depression and anxiety problems. What led me to this vision is always seeing children get into trouble, but they just could not explain why they did it. My family and close friends’ have always known about my passion and desire to help children with behavior problems. However, I took a long look at my own childhood experiences and realized that I too can help others. But, before I can help anyone with their life style I had to analyzed, why I did

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...Statistics in Business Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It also provides tools for prediction and forecasting based on data. It is applicable to a wide variety of academic disciplines, from the natural and social sciences to the humanities, government and business ("Statanalysis Consulting", 2013). Statistics is used in decision making that affects our everyday lives. The study of statistics is divided into two categories and has four levels of measurements. The two types of statistics are descriptive statistics and inferential statistics. Descriptive statistics is the organizing, presenting, and analyzing of data in an informative way. Inferential statistics is the methods used to estimate a property of a population on the basis of a sample. The four levels of measurements in statistics are nominal, ordinal, interval, and ratio. The first scale is nominal. The nominal level of measurement is the lowest level. Nominal data deals with names, categories, or labels. The next level is called the ordinal level of measurement. Data at this level can be ordered, but no differences between the data can be taken that are meaningful. The interval level of measurement deals with data that can be ordered, and in which differences between the data does make sense. The fourth and highest level of measurement is the ratio level. Data at the ratio level possess all of the features of the...

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...Statistics in Business Amy Lawrence Qnt/275 04/04/16 Cynthia Roberts Statistics in Business Statistics - a science of producing useful results from data that is manipulated in specific ways. An example of this would be to keep a count of how often a red bear sold over a blue bear and after a specific amount of time, use the data to eliminate the bear that sold less so that space in the store could be used for a better selling item. “Statistics is the science of learning from data, and of measuring, controlling, and communicating uncertainty; and it thereby provides the navigation essential for controlling the course of scientific and societal advances” American Statistical Association. (2016). What is Statistics?. Retrieved from http://www.amstat.org/careers/whatisstatistics.cfm Quantitative data – Simply put this type of data is expressed as numbers or can be measured. They can be found by using the ordinal, interval or ratio scales. The numbers used in this way is manipulated statistically with equations. Qualitative data is representative of people’s culture, gender, economics or religion or just general groups of people. The qualitative data can be shown as ordinal which have three or more categories in a set order, dichotomous which mean only two categories such as male or female or nominal which have no order and three or more categories. Quantitative data are numbers that reflect what has been seen or tracked such as how many times...

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...Statistics in Business QNT/275 June 29, 2016 Statistics in Business According to "Define Statistics At Dictionary.com the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and regularity on aggregates of more or less disparate elements. Quantitative vs. Quantities There are two general types of data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails. Speaking of which, it might be time to call Guinness. You've got to be close to breaking the record. Qualitative data is information about qualities; information that can't actually be measured. Some examples of qualitative data are the softness of your skin, the grace with which you run, and the color of your eyes. However, try telling Photoshop you can't measure color with numbers. Here's a quick look at the difference between qualitative and quantitative data. The age of your car. (Quantitative.) The number of hairs on your knuckle. (Quantitative.) The softness of a cat. (Qualitative.) The color of the sky. (Qualitative.) The number of pennies in your pocket. (Quantitative.) Remember, if we're measuring a quantity, we're making a statement about quantitative data. If we're describing qualities, we're making a...

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...Statistics in Business Lula Mae Blake QNT/351 May 4, 2015 Sara Skowronski Statistics in Business According to dictionary definition it is “the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and regularity on aggregates of more or less disparate elements (2015).” Identify different types and levels of statistics Types and levels of statistics include: Descriptive statistics: numerical and graphical methods that observe patterns in data set to give a summary of the information so it can be presented in an understandable format. Inferential statistics: is sample data that comes up with estimates, decisions, predictions, or other general particulars about a larger set of data. Experimental unit: is a fundamental element – an object (person, thing, transaction, or event). Another fundamental is Population: which is a set of units including people, objects, transactions, or events used in a study. A sample is the subject of the units of a population. Variable: describes the character or property of an individual experimental unit. It is known as univariate data which is a study the looks at only one variable, and bivariate data that deals with the study or relationship of two variables. Measurement: is an important factor of studying variables, as is qualitative and quantitative variables. Describe...

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...head: Statistics in Business Statistics in Business Define Statistics Statistics is "the science of data. It involves collecting, classifying, summarizing, organizing, analyzing, and interpreting numerical information" (). Different Types and Levels of Statistics The types of statistics are descriptive and inferential. Descriptive statistics looks for patterns in data sets and it does so by using numerical and graphical methods. It is also used to summarize the information found in a data set and allows the information to be shown in a more convenient form that is easier to read and understand. Inferential statistics' goal is to make estimates, decisions, predictions or other generalizations about a larger set of data. It does so by using sample data. There are four levels to statistics. Those are nominal level, ordinal level, interval level and ratio level. Nominal level is information that cannot be arranged in any particular order but that is classified into categories. Ordinal level is similar to nominal however, the data can be arranged into some type of order however, the differences between the values cannot be determined or is seen as meaningless. Interval level is similar to the ordinal level however, there are intervals between each set of data and the measurement can be defined and is obvious and there is no natural zero point. Ratio level is the same as interval level with the only difference being that there is a natural zero. Role Statistics has in...

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...Statistics in Business Kareem Kelly QNT/351 December 07, 2015 David Lantz Statistics in Business Statistics is a form of science where information learned from the collection of data. The data is involved in the application principle of quantitative interpretation and presentation for business purposes. Statistics are used for wide array of fields including business, education, marketing, economics, health, physics, sports, government, military, and many other fields. There are different types of statistics that are used for different purposes, and this paper will discuss them. Different Types and Levels of Statistics Though statistics is usually used as a general term, there are two forms of statistics, which are descriptive and inferential statistics. Descriptive statistics is the analysis of data shows, describes, or summarizes data in a way that show a pattern. The second type of statistic is called inferential statistics. Inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think ("Research Methods: Inferential Statistics," 2014). There is also four level of measurements that is also involved with statistics. The four levels of measurement are ratio data, interval data, nominal data, and ordinal data. All four of the different measurements has their purpose when using statistics for research. . The Role of Statistics...

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...Statistics in Business Statistics in Business Statistics is considered art and science of collecting, analyzing, presenting, and interpreting data (McClave, Benson, & Sincich, 2011). Four scales of measurement are available for obtaining data on a exacting variable: nominal, ordinal, interval, and ratio (Lind, Marchal, & Wathen, 2011). The scale of measurement for a variable is nominal when the data are labels or names used to identify an attribute of an element (McClave, Benson, & Sincich, 2011). The scale is ordinal if the data have the properties of nominal data the order or rank of the data is meaningful. The scale is interval if the data have the properties of ordinal data the interval between observations is expressed in terms of fixed unit of measure (Lind, Marchal, & Wathen, 2011). Finally, the scale of measurement is ratio if the data have all the properties of interval data and the ratio of two values is meaningful. For propose of statistical analysis, data can be classified as qualitative or quantitative (Lind, Marchal, & Wathen, 2011). Qualitative data are labels or names used to identify an attribute of each element. Qualitative use either the nominal or ordinal scale of measurement and may be non-numeric or numeric. Quantitative data are numeric values that indicate how much or how many. Quantitative data use either the interval or ratios scales of measurement (Lind, Marchal, & Wathen, 2011). Ordinary arithmetic operations are meaningful...

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...Statistics in Business QNT 351 August, 2012 University of Phoenix What are Statistics? Statistics is the science involved in the application of quantitative principles to the collection, description, interpretation, and presentation of numerical data, as well as the meaning of collected data within the realm of business, and is also commonly used for marketing procedures. Statistics generally deals with the main business elements and the planning process of the data that have been collected through the development of surveys as well as additional tests. Types and Levels of Statistics Even though statistics is general term, there are still two different types of statistics, which includes descriptive statistics that consist of methods for organizing, displaying, and describing data through the use of tables, graphs, and summary measures (Gunning, n.d.). The second type of statistics is inferential statistics, which is a process of describing the population based on the sample results (Gunning, n.d.). Aside from the two main types of statistics that are common, there are also different levels of measurement involved in statistics. There are four levels of measurement, which includes nominal data, ordinal data, interval data, and ratio data. Each level of measurement achieves different results in a survey, and not all researchers will use every level of measurement. Each one of the four levels of measurement serves a different purpose in the study procedure and...

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