Machine Learning for Estimation in Data Science
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1. What is the purpose of the Programme of International Student Assessment
(PISA)?
- Correct Answer: To compare school systems across different countries.
2. How many countries participated in the 2015 PISA survey?
- Correct Answer: 72 countries.
3. What age group was assessed in the 2015 PISA survey?
- Correct Answer: 15-year-old children.
4. What are the three subjects tested in the PISA survey?
- Correct Answer: Reading, mathematics, and science.
5. What is the Gini coefficient?
- Correct Answer: An estimate of income inequality, with larger values
indicating more inequality.
6. What does GDP per capita measure?
- Correct Answer: The gross domestic product divided by the estimated
population size.
,7. What is the significance of the variable 'homework' in the PISA data?
- Correct Answer: It estimates the average number of hours per week
spent on homework by 15-year-olds.
8. What does the variable 'start.age' represent in the PISA data?
- Correct Answer: The age in years when children start school.
9. What is the Tidyverse?
- Correct Answer: A collection of R packages designed for data science.
10.Which R package is used for data manipulation in the Tidyverse?
- Correct Answer: dplyr
11.Which R package is used for graphics in the Tidyverse?
- Correct Answer: ggplot2.
12.What is exploratory data analysis?
- Correct Answer: A process to extract information from a data set using
various plots and summary statistics.
13.What is the main focus of Chapter 1 in the notes?
- Correct Answer: Exploratory Data Analysis using R.
14.What is the primary goal of statistical inference?
- Correct Answer: To make conclusions about populations based on
sample data.
15.What are the two main types of statistical estimation discussed?
- Correct Answer: Point estimation and interval estimation.
16.What is hypothesis testing?
, - Correct Answer: A method to determine if there is enough evidence to
reject a null hypothesis.
17.What does the Neyman-Pearson approach focus on?
- Correct Answer: A framework for hypothesis testing that emphasizes
controlling the error rates.
18.What is a p-value?
- Correct Answer: A measure that helps determine the significance of
results in hypothesis testing.
19.What is the purpose of confidence intervals?
- Correct Answer: To estimate the range within which a population
parameter lies with a certain level of confidence.
20.What is the two-sample t-test used for?
- Correct Answer: To compare the means of two independent groups.
21.What is the relationship between confidence intervals and hypothesis
testing?
- Correct Answer: Confidence intervals can provide the same
information as hypothesis tests regarding parameter estimates.
22.What is the significance of the chi-squared test?
- Correct Answer: It is used for testing relationships between categorical
variables in contingency tables.
23.What does 'power' refer to in hypothesis testing?
- Correct Answer: The probability of correctly rejecting a false null
hypothesis.
24.What is the main focus of Chapter 2 in the notes?
, - Correct Answer: Machine Learning.
25.What is the purpose of statistical models?
- Correct Answer: To represent and analyze the relationships between
variables.
26.What is point estimation?
- Correct Answer: The process of providing a single value estimate of a
population parameter.
27.What is interval estimation?
- Correct Answer: The process of estimating a range of values for a
population parameter.
28.What does the term 'sample size' refer to?
- Correct Answer: The number of observations or data points collected
in a study.
29.What command is used to install the tidyverse package in R?
- Correct Answer: install.packages('tidyverse')
30.How do you load the tidyverse package in R?
- Correct Answer: library(tidyverse)
31.What command is used to import a CSV file into R?
- Correct Answer: read_csv('filename.csv')
32.What is the name of the object that stores data imported from 'maths.csv'?