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Statistics: Descriptive Analysis, Hypothesis Tests, and Interval Prediction

   

Added on  2023-01-19

18 Pages1122 Words41 Views
Statistics

Contents
INTRODUCTION...........................................................................................................................1
TASK...............................................................................................................................................1
Question 1...............................................................................................................................1
Question 2...............................................................................................................................1
Question 3...............................................................................................................................2
Question 4.............................................................................................................................10
Conclusion.....................................................................................................................................14

INTRODUCTION
In data analysis, a division of mathematics that is related with gathering classifying,
analysing and interpreting of numerical figures in order to make meaningful conclusions as per
the probability is known as statistic. The basic statistics includes descriptive analysis, correlation,
hypothesis test for dependent and independent variable which help in extracting suitable results
from large group of numeric information. In this report, descriptive analysis on any 2 interval 3
different hypothesis tests and model to predict an interval are discussed.
TASK
Question 1
In given assessment data of Sport and GT cars is given along with different variables like
price, horsepower, curb weight, speed, manufacture, V8 and GM Product. Here in assessment
major variables Price, Horsepower, Curb weight and Speed. All significant calculations and test
in assessment are conducted by using selected variables. Following are explanation and
relevance of these variables, as discussed below:
Price: This refers to market price or value of different car models.
Horsepower: It relates to power a car's engine produces.
Curb weight: Curb weight is aggregate weight of car with all standard equipments along
with essential operating consumables like transmission oil, motor oil, air
conditioning refrigerant, coolant and often full-tank fuel, while unloaded.
Speed: Car's speed at 1/4 mile (mph).
Question 2
Descriptive analysis
The first and most important part for conducting statistical analyses is descriptive
analysis that gives a detail idea about the distribution of data which support in detecting mistakes
and outliers and ensure to determine the connection among different variables. From the data
available the two variable that are selected for descriptive analysis are Price and Speed at ¼ mile
(mph).
1

Question 3
Different type of Hypothesis test
2

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