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## IGNOU BPCC 104 Solved Assignment 2022-23

**We provide handwritten PDF and Hardcopy to our IGNOU and other university students. There are several types of handwritten assignment we provide all Over India. BPCC 104 STATISTICAL METHODS FOR PSYCHOLOGICAL RESEARCH- I ****Solved Assignment 2022-23 Download Free We are genuinely work in this field for so many time. You can get your assignment done – 8130208920**

**Important Note – IGNOU BPCC 104**** Solved Assignment 2022-2023 Download Free You may be aware that you need to submit your assignments before you can appear for the Term End Exams. Please remember to keep a copy of your completed assignment, just in case the one you submitted is lost in transit.**

**Submission Date : **

**31st March 2033 (if enrolled in the July 2033 Session)****30th Sept, 2033 (if enrolled in the January 2033 session).**

All questions are compulsory.

Answer the following descriptive category questions in about 500 words each. Each question carries 20 marks in Assignment one.

Answer the following short category questions in about 100 words each. Each question carries 5 marks in Assignment two.

**Assignment One**

**1. Explain the role of statistics in research. **

Biological researchers often disregard the use of statistics in their research planning, and mainly use statistical tools at the end of their experiment. Therefore, giving rise to a complicated set of results which are not easily analyzed from statistical tools in research. **Statistics in research** can help a researcher approach the study in a stepwise manner, wherein the statistical analysis in research follows –

### 1. Establishing a Sample Size

Usually, a biological experiment starts with choosing samples and selecting the right number of repetitive experiments. **Statistics in research** deals with basics in statistics that provides statistical randomness and law of using large samples. Statistics teaches how choosing a sample size from a random large pool of sample helps extrapolate statistical findings and reduce experimental bias and errors.

### 2. Testing of Hypothesis

When conducting a statistical study with large sample pool, biological researchers must make sure that a conclusion is statistically significant. To achieve this, a researcher must create a hypothesis before examining the distribution of data. Furthermore, **statistics in research** helps interpret the data clustered near the mean of distributed data or spread across the distribution. These trends help analyze the sample and signify the hypothesis.

### 3. Data Interpretation Through Analysis

When dealing with large data, **statistics in research** assist in data analysis. This helps researchers to draw an effective conclusion from their experiment and observations. Concluding the study manually or from visual observation may give erroneous results; therefore, thorough statistical analysis will take into consideration all the other statistical measures and variance in the sample to provide a detailed interpretation of the data. Therefore, researchers produce a detailed and important data to support the conclusion.

## Types of Statistical Research Methods That Aid in Data Analysis

Statistical analysis is the process of analyzing samples of data into patterns or trends that help researchers anticipate situations and make appropriate research conclusions. Based on the type of data, statistical analyses are of the following type:

### 1. Descriptive Analysis

The descriptive statistical analysis allows organizing and summarizing the large data into graphs and tables. Descriptive analysis involves various processes such as tabulation, measure of central tendency, measure of dispersion or variance, skewness measurements etc.

### 2. Inferential Analysis

The inferential statistical analysis allows to extrapolate the data acquired from a small sample size

to the complete population. This analysis helps draw conclusions and make decisions about the whole population on the basis of sample data. It is a highly recommended statistical method for research projects that work with smaller sample size and meaning to extrapolate conclusion for large population.

### 3. Predictive Analysis

Predictive analysis is used to make a prediction of future events. This analysis is approached by marketing companies, insurance organizations, online service providers, data-driven marketing, and financial corporations.

### 4. Prescriptive Analysis

Prescriptive analysis examines data to find out what can be done next. It is widely used in business analysis for finding out the best possible outcome for a situation. It is nearly related to descriptive and predictive analysis. However, prescriptive analysis deals with giving appropriate suggestions among the available preferences.

### 5. Exploratory Data Analysis

EDA is generally the first step of the data analysis process that is conducted before performing any other statistical analysis technique. It completely focuses on analyzing patterns in the data to recognize potential relationships. EDA is used to discover unknown associations within data, inspect missing data from collected data and obtain maximum insights.

### 6. Causal Analysis

Causal analysis assists in understanding and determining the reasons behind “why” things happen in a certain way, as they appear. This analysis helps identify root cause of failures or simply find the basic reason why something could happen. For example, causal analysis is used to understand what will happen to the provided variable if another variable changes.

### 7. Mechanistic Analysis

This is a least common type of statistical analysis. The mechanistic analysis is used in the process of big data analytics and biological science. It uses the concept of understanding individual changes in variables that cause changes in other variables correspondingly while excluding external influences.

## Important Statistical Tools In Research

Researchers in the biological field find statistical analysis in research as the scariest aspect of completing research. However, statistical tools in research can help researchers understand what to do with data and how to interpret the results, making this process as easy as possible.

### 1. Statistical Package for Social Science (SPSS)

It is a widely used software package for human behavior research. SPSS can compile descriptive statistics, as well as graphical depictions of result. Moreover, it includes the option to create scripts that automate analysis or carry out more advanced statistical processing.

### 2. R Foundation for Statistical Computing

This software package is used among human behavior research and other fields. R is a powerful tool and has a steep learning curve. However, it requires a certain level of coding. Furthermore, it comes with an active community that is engaged in building and enhancing the software and the associated plugins.

### 3. MATLAB (The Mathworks)

It is an analytical platform and a programming language. Researchers and engineers use this software and create their own code and help answer their research question. While MatLab can be a difficult tool to use for novices, it offers flexibility in terms of what the researcher needs.

### 4. Microsoft Excel

Not the best solution for statistical analysis in research, but MS Excel offers wide variety of tools for data visualization and simple statistics. It is easy to generate summary and customizable graphs and figures. MS Excel is the most accessible option for those wanting to start with statistics.

### 5. Statistical Analysis Software (SAS)

It is a statistical platform used in business, healthcare, and human behavior research alike. It can carry out advanced analyzes and produce publication-worthy figures, tables and charts.

**2. Compute Spearman’s rho for the following data:**

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**Assignment Two**

**3.**** Explain the scales of measurement with the help of examples.**

**4. Compute mean, median and mode for the following data.**

## 5. Explain the merits, limitations and uses of average deviation.

## 6. Compute standard deviation for the following data.

## 7. What is correlation? Describe the other methods of correlation with the help of suitable examples.

## 8. Explain the concept, properties and uses of z scores.

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**IGNOU Instructions for the BPCC 104 STATISTICAL METHODS FOR PSYCHOLOGICAL RESEARCH- I ****Solved Assignment 2022-23**

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