Multiple Choice Questions from Introductory Statistics for the preparation of exam and different tests.

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Test 1

MCQs about Time Series Analysis

This test contains MCQs about Time series, which includes the components of times series (Secular Trend, Cyclical Trend, Seasonal Trend and Irregular Trend), methods of measuring the trend, Exponential and smoothing process, moving average method etc.
This test will be helpful for students and statistics learners to get knowledge and better score in course of statistics and time series analysis.

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Student and Instructor of Statistics and business mathematics.
Currently Ph.D. Scholar (Statistics), Bahauddin Zakariya University Multan.
Like Applied Statistics and Mathematics and Statistical Computing.
Statistical and Mathematical software used are: SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel.
Like to use type-setting LaTeX for composing Articles, thesis etc.

Chi-square test is a non-parametric test. The assumption of normal distribution in the population is not required for this test. The statistical technique chi-square can be used to find the association (dependencies) between sets of two or more categorical variables by comparing how close the observed frequencies are to the expected frequencies. In other words, […]

Mean: Measure of Central Tendency The measure of Central Tendency Mean (also know as average or arithmetic mean) is used to describe the data set as a single number (value) which represents the middle (center) of the data, that is average measure (performance, behaviour, etc) of data. This measure of central tendency is also known […]

Probability sampling In probability each unit of the population has known (non-zero) probability of being included in the sample and samples are selected randomly by using some random selection method. That’s why, probability sampling may also be called random sampling. In probability sampling reliability of the estimates can be determined. In probability sampling, samples are […]

It is often required to collect information from the data. There two methods for collecting the required information. Complete information Sampling Complete Information In this method the required information are collected from each and every individual of the population. This method is used when it is difficult to draw some conclusion (inference) about the population […]

Research is inquiry. It is a process of discovering some new knowledge, that involves multiple elements such as theory development and testing, empirical inquiry, and sharing the generated knowledge with others such as experts and colleagues. A short description about elements of theory is: Theory is a set of ideas and perceptions that helps people […]

Question 1: How can I retrieve (load) the work that is saved using history function in R? Answer: The loadhistory() function will load an “.Rhistory“file. > loadhistory(“d:/file_name.Rhistory”) This function will load file named “file_name.Rhistory” from D: drive. The other way may be to access .Rhistory file through the file menu. For this click File and … Continue reading “R Basics”

Question: How one can get help about different command in R Language? Answer: There are many ways to get help about different command (functions). R has built-in help facility which is similar to man facility in Unix. For beginners of R language, help() function or ? can be used to get help about different commands … Continue reading “R FAQs: Getting Help in R”

Question: Can I save my work in R Language? Answer: R language facilitates to save ones R work. Question: How to save work done in R? Answer: All of the objects and functions that are created (you R workspace) can be saved in a file .RData by using the save() function or the save.image() function. … Continue reading “R FAQs: Saving and Loading R workspace”

Question: What are the differences of missing values in R and other Statistical Packages? Answer: Missing values (NA) cannot be used in comparisons, as already discussed in previous post on missing values in R. In other statistical packages (softwares) a “missing value” is assigned some code either very high or very low in magnitude such … Continue reading “R FAQs: Handling Missing values in R”

Question: What is matrix in R? Answer: In R language matrices are two dimensional arrays of elements all of which are of the same type, for example numbers, character strings or logical values. Matrices may be constructed using the built in function “matrix”, which reshapes its first argument into a matrix having specified number of … Continue reading “R FAQS about Matrix | Data Structure for Matrix in R”

Question: Can missing values be handled on R? Answer: Yes, in R language one can handle missing values. The way of dealing with missing values is different as compared to other statistical softwares such as SPSS, SAS, STATA, EVIEWS etc. Question: What is the representation of missing values in R Language? Answer: In R missing … Continue reading “R FAQ missing values”

Good work. God bless you dear.

Best effort for the statistics students. May u live long! Allah showering upon u His blessing!!!

l appreciate.