Inferential Statistics College Essays Samples For Students

Introduction

The use of statistics is psychology is important since it helps in understanding ideas, concepts, categories, attitudes and symbols, which are normally difficult to observe and difficult to measure. This allows psychologist to test hypotheses, support theories, evaluate treatments or refute evidence. By testing hypotheses, psychologists can be able to develop new theories and come up with new innovating ideas.

Functions of Statistics

Simplification of complex problems or situations
The use of statistics simplifies the complexity of data. Raw data used in statistics or research work is normally incomprehensible. Using different statistical measures data can be made simpler. This may involve ...

Introduction

Statistics is a branch of mathematics, aimed at collecting and analyzing data via different methods such as analysis of variance, kurtosis, skewness or regression analysis. Nowadays, statistics helps processing data with a help of creating various charts that in turn help visualizing complex data sets. There are two major types of statistics, descriptive statistics and inferential statistics. Descriptive and inferential statistics require proper hypothesis formation and thus proper selection of the statistical tests that in turn have to be analyzed and interpreted successfully.

Descriptive Statistics

Descriptive statistics implies application of various coefficients that simplify process of data processing and aggregation (Trochim, ...

According to Mendenhall and Beaver (2011), descriptive statistics is the analysis of data that helps to summarize, show and describe data in a way that is more meaningful. In this regards, it provides a concise summary of data. This data can be graphically or numerically summarized. Using graph or pie charts in descriptive statistics helps one interpret data collected in a much easier way than providing the same data in a wide amount of raw data. Descriptive statistics use mean, median and mode as measures of central tendency and use standard deviation and variance as measures of dispersion.
Inferential ...

Functions of Statistics

Firstly, statistics is used to present facts in a simplistic manner. This makes statements more convincing and logical as compared to mere description. Secondly, statistics is used to reduce complexities associated with raw data enabling the readers draw interpretations and inferences. There are various statistical measures that are used to make raw data simple and intelligible (LeBlanc, 2004). Examples are; graphs, dispersions, averages, regressions, correlation and kurtosis. Thirdly, statistics facilitates comparison. Comparisons are important when the user of a given data set draw conclusions between two groups or the past and present. Statistical devices such as ratios, averages and coefficients are ...

Introduction 2

Descriptive statistics 2
Inferential statistics 3
Regression analysis 3
Testing means using the T-test 6
Analysis of variance (ANOVA) 7
Conclusions 8

References 8

Term paper
Introduction
In this paper we are interested with will look keenly on the areas we have covered throughout weeks. In this case we will be looking at the descriptive statistics, inferential statistics, hypothesis development and testing, selection of appropriate test statistics and finally evaluating statistical results. This paper will reflect on these course elements in analyzing and making decisions about the data. We are interested with the type ...

DQ1

Descriptive statistics is the course of data analysis that helps in the description and summarization of data in an important manner, for instance through the usage of patterns do show data. It is simply data analysis that is not conclusively used. They are important in data presentation since they allow us to present data in a momentous way that allows for easier reading and understanding of data. Descriptive statistics allows us to describe data through graphs and statistics in an important and accurate way. Two statistics that are used in describing data are:
Measures of central tendency: these ...

Descriptive statistics refer to the numbers that are used in summarizing the descriptive data. In this case, the data refers to the raw information that has been collected in the field. Once the data has been collected, it is important for the user of the information to analyze in order to be able to interpret it and make sense of the information that has been collected. Thus, the first step in any statistic problem is to make sense of the raw information that has been collected. For a decision to be made, evidence has to be prepared in such ...

Psychology

Introduction
The use of Null Hypothesis Significance Testing as a statistical tool for research methods in psychology became a center of debate because of the perceived errors, which was associated to the misuse of the method and erroneous conclusion in some of the published scholarly journals. Many scholarly journal publishers particularly those that are specialized in the field social psychology suggests to ban the use of NHST and the Basic and Applied Social Psychology (BASP) acted upon on this call. On the other hand, proponents of NHST argue that the problem is not with the technique, but with the ...

The quantitative research means the researcher collects numerical data and evaluates the data with the use of financial software such as SPSS and Microsoft Excel Spreadsheets. The quantitative research involves testing the hypothesis that is derived from the theory that is being tested. The research questions are determined and according to these questions; the participants undergo different research methods. If the main purpose is to generalize the theory from the participation of participants, the research will use probability as sampling to select the participants.

Three sampling methods with advantages and disadvantages

Random sampling
The random sampling method is the least biased of all the sampling ...

Overview

The following paper provides a critique of the study on “Long-term retention of older adults in the cardiovascular health study: Implications for studies of the oldest old.” The paper utilizes epidemiology and biostatistics concepts to analyse the study. Some of the important concepts discussed include identification of the research problem, research questions, generation of hypothesis, research design used and its validity to the study, justification of research methods, and suitability of data analysis procedure. Epidemiology and biostatistics concept provides an individual with skills to design and implement fundamental and practical research healthcare (Texas A&M Health Science Centre, 2014).

In which paragraph(s) of the study is a research problem stated?

The research ...

Q1. (a) What is the difference between descriptive statistics and inferential statistics?

Descriptive statistics refers to statistical procedures that are used to analytically describe a population that is being studied. The data used for such purpose might be obtained from a sample of the intended population. Organization and description of the data is based on the results obtained during the study.
Inferential statistics is the process production of inferences or predictions about a population based on observations and analysis of the sample being investigated. The sample results generated are then generalized to account for the whole population from the sample was obtained.
(b) Provide an example for each.

Descriptive statistics- Research on how age affects productivity in individuals

Inferential statistics- Research to test ...

Question one

The analysis of data through the description, and summary of records in a meaningful manner so that the patterns may emerge from such information is known as a descriptive statistics (Investopedia, 2007). However, in certain circumstances, it does not allow data specialists to make conclusions beyond the information to be analyzed regarding any hypotheses that are being prepared.
The descriptive statistics enables one to make a characterization of data based on its properties (Baseline Help Center, 2016). Therefore, the main types of this statistic that can allow one to analyze business decisions are: variation such as standard deviation, range, ...

Question one

The descriptive statistics is the analysis of data for describing, showing, and summarizing records in a meaningful way so that the patterns to emerge from the information. However, it does not allow the analysts to draw conclusions beyond the data to be analyzed concerning any hypotheses being made. The types of descriptive statistics are as follows:
The measure of central tendency. It is the way of describing the central position of a distribution for the collection of data. That is the frequency distribution the distribution pattern of records of a company particularly from the lowest to the highest. Therefore, ...

Definition of statistics

Statistics can be defined as the science involved in the study of data. It entails collection (acquisition), organization and analysis of data which allows for drawing of conclusions. It also allows for measuring, controlling and communication of uncertainty (Witte & Witte, 2010).

Types and level of statistics

There are two types of statistics, namely: descriptive and inferential statistics. Descriptive statistics quantitatively describes features of a set of data represented numerically. It involves summary of the population data numerically or pictorially/graphically thereby deriving measures of central tendency, measures of dispersion, relationship and correlation and measures of Skewness and kurtosis (Witte & Witte, 2010). Inferential statistics entails studying a statistical ...

The term research can be defined broadly as the process that involves any data, facts and information gathering with an aim of advancing knowledge. Scientifically, research is defined as the act of doing a methodical study with an aim of proving a hypothesis of answering a given question. The central role in carrying out research is to look for a definitive answer to a situation. Research process is usually systematic and follows a standardized protocol and a set of steps (Shuttleworth, 2008).
Scientific method refers to the process through which scientists endeavor to collectively and over a long time come up with an accurate representation of ...

1.1 Definition of Statistics
It can be defined as a study that involves collecting, organizing, analyzing and interpreting information that is in numerical form from a give data.
A kind of statistics which involves collecting, picturing as well as making a summary of the information from given data is referred to as descriptive statistics.

Inferential statistics is one that involves using information contained in a sample to make conclusion on the population under study.

1.2 Occupational application of statistics
Statistics has various applications, for instance to my occupation as banker in the credit section I normally use statistics to study the behavior of credit consumer in the bank. The type of statistics occasionally involved here is inferential where data ...