,IOP2601 Assignment 2 (COMPLETE ANSWERS) Semester
1 2025 DUE 31 March 2025; 100% trusted, comprehensive
and complete reliable solution with clear explanation.
ALL QUESTIONS ANSWERED CORRECTLY
QUESTION 1 [10] 1.1 In your own words, briefly name and
explain the first three steps of the research process. Provide
examples where possible. (3)
1.2 In your own words, differentiate between descriptive
statistics and inferential statistics. Provide examples where
possible. (2)
1.3 Describe the differences or similarities between the mean,
median and mode. (3)
1.4 Explain the characteristics of a normal distribution. (2)
1.1 The First Three Steps of the Research Process (3 marks)
1. Identifying the Research Problem: The first step is to
clearly define what the research aims to address. It involves
selecting a topic or a question that is important, interesting,
and feasible to study. For example, a researcher might
focus on studying the impact of social media on teenagers'
mental health.
2. Review of Literature: The next step is to gather and
review existing research related to the topic. This helps in
understanding what has already been studied and
identifying gaps in knowledge. For example, reviewing
articles, books, and research papers on social media and
, mental health to see what has been explored and where
further study is needed.
3. Formulating a Hypothesis: After understanding the
problem and reviewing the literature, a researcher proposes
a hypothesis or a prediction about what they expect to find.
It gives the research direction. For instance, a hypothesis
might be: "Teenagers who spend more than three hours on
social media per day are more likely to experience
symptoms of depression."
1.2 Descriptive Statistics vs. Inferential Statistics (2 marks)
Descriptive Statistics: Descriptive statistics are used to
summarize or describe the main features of a dataset. These
include measures like the mean, median, mode, standard
deviation, and range. For example, if you have test scores
for 100 students, descriptive statistics will give you an
average score or tell you the most common score.
Inferential Statistics: Inferential statistics are used to
make generalizations or predictions about a population
based on a sample of data. This involves hypothesis testing,
confidence intervals, and regression analysis. For example,
using the test scores of 100 students to predict how a
similar group of 1000 students might perform.
1.3 Differences or Similarities Between the Mean, Median,
and Mode (3 marks)
Mean: The mean is the average of a dataset, calculated by
adding all values and dividing by the number of values.
Example: In a dataset of 3, 4, and 5, the mean is (3+4+5)/3
= 4.
1 2025 DUE 31 March 2025; 100% trusted, comprehensive
and complete reliable solution with clear explanation.
ALL QUESTIONS ANSWERED CORRECTLY
QUESTION 1 [10] 1.1 In your own words, briefly name and
explain the first three steps of the research process. Provide
examples where possible. (3)
1.2 In your own words, differentiate between descriptive
statistics and inferential statistics. Provide examples where
possible. (2)
1.3 Describe the differences or similarities between the mean,
median and mode. (3)
1.4 Explain the characteristics of a normal distribution. (2)
1.1 The First Three Steps of the Research Process (3 marks)
1. Identifying the Research Problem: The first step is to
clearly define what the research aims to address. It involves
selecting a topic or a question that is important, interesting,
and feasible to study. For example, a researcher might
focus on studying the impact of social media on teenagers'
mental health.
2. Review of Literature: The next step is to gather and
review existing research related to the topic. This helps in
understanding what has already been studied and
identifying gaps in knowledge. For example, reviewing
articles, books, and research papers on social media and
, mental health to see what has been explored and where
further study is needed.
3. Formulating a Hypothesis: After understanding the
problem and reviewing the literature, a researcher proposes
a hypothesis or a prediction about what they expect to find.
It gives the research direction. For instance, a hypothesis
might be: "Teenagers who spend more than three hours on
social media per day are more likely to experience
symptoms of depression."
1.2 Descriptive Statistics vs. Inferential Statistics (2 marks)
Descriptive Statistics: Descriptive statistics are used to
summarize or describe the main features of a dataset. These
include measures like the mean, median, mode, standard
deviation, and range. For example, if you have test scores
for 100 students, descriptive statistics will give you an
average score or tell you the most common score.
Inferential Statistics: Inferential statistics are used to
make generalizations or predictions about a population
based on a sample of data. This involves hypothesis testing,
confidence intervals, and regression analysis. For example,
using the test scores of 100 students to predict how a
similar group of 1000 students might perform.
1.3 Differences or Similarities Between the Mean, Median,
and Mode (3 marks)
Mean: The mean is the average of a dataset, calculated by
adding all values and dividing by the number of values.
Example: In a dataset of 3, 4, and 5, the mean is (3+4+5)/3
= 4.
