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Introduction
Descriptive statistics is normally used to normally assess the basic characteristics of the data. It will also provide basic summary statistics from the sample to represent the population. Together with simple graphics analysis, the descriptive statistics helps us to determine the distribution the variables used in the data 8th to 14th August 2016. A random sample of 75 data was then, taken from these dataset
The sample size for dataset 1 is 1000 and the sample size for dataset 2 is 75. This is normally used to validate the central limit theorem. When a large enough sample is taken, the averages of the sample values will form a distribution that will approach that of a normal distribution. This is the Central Limit Theorem at work. “If the population from which samples are taken is not normal, the distribution of sample means will tend toward normality provided that the sample size, n, is at least 4. This tendency gets better and better as the sample size gets larger.”
Data Collection Procedure
The dataset for the first sample was taken from the license of Creative Commons Attribution 3.0 Australia, an NSW government site. This dataset is an example of secondary data collection. Here, the researcher is not collecting the data on his own by meeting the sample individuals using primary investigation method and, he collects the data using a reliable government website in which the information was already updated for their primary purpose. Therefore, this sample selection is an example of secondary data collection.
    Variable
    Description
    Values
    Mode
    Transport Type
    Bus, Train, Fe
y and Light Rail
    Date
    Date of the tap on/off held
    Entered in the format of dd/mm/yyyy
    Tap
    It is a tap on or off
    On and Off
    Loc
    Locations of stops. For bus postcodes and others name of the stations
    Postcodes and names of the stations
    Count
    Total number tap on or off on the certain location and the certain date
    Values
Dataset 2
The dataset for the second sample was taken from the license of Creative Commons Attribution 3.0 Australia, an NSW government site. This dataset is an example of secondary data collection. Here, the researcher is not collecting the data on his own by meeting the sample individuals using primary investigation method and, he collects the data using a reliable government website in which the information was already updated for their primary purpose. Therefore, this sample selection is an example of secondary data collection. The dataset was collected for the time period of 8th to 14th August 2016. Once the data was collected, simple random sampling procedure was used to select 75 cases from the data that was originally gathered from the government site
The variables included in this study are given below
    Variable
    Description
    Level of Measurement
    Age
    Age of the Respondent
    Interval
    Height
    Height of the Respondent
    Interval
    Weight
    Weight of the Respondent
    Interval
    Waist
    Waist length of the Respondent
    Interval
    BMI
    BMI level
    Interval
    Gende
    Respondent’s Sex
    Nominal
    BMI Category
    BMI categorized in to different levels
    Ordinal
    Sleep Duration
    Duration of sleep in a day
    Interval
Analysis of Single Variable
The frequency distribution of mode of transport is given below
    Mode of Transport
    Frequency
    Percentage
    Bus
    456
    0.456
    Train
    498
    0.498
    Fe
y
    24
    0.024
    Light Rail
    22
    0.022
    Total
    1000
    
The pie chart is given below
The most frequently used transport by the NSW people is Train, as 49.8% of the overall sample used Train to as their...