Descriptive statistics, Applied Statistics

Assignment Help:

Descriptive Statistics:

Carrying out an extensive analysis the data was not a subject to ambiguity and there were no missing values.  Below are descriptive statistics that have been constructed after identifying no ambiguous or missing data for each variable that were included:

  • Wfood
  • Income
  • Totexp
  • Age
  • Nk

1147_Descriptive Statistics.png

The 'N' in the descriptive statistics shows the total number of data items that is present which is 1519, however 'N*' reveals the number of items that are missing data which is 0.

 The mean portrays central tendencies with the inclusion of all the data provided but the trimmed mean displays central tendency of data with 5 to 25 percent being discarded as it may include extreme data sets which can be relevant as it is less sensitive to outliers. Observing the mean and trimmed mean from the descriptive statistics for wfood, income, totexp and nk and age suggests they have a small change between their mean and trimmed mean which isn't highly significant. 

The standard deviation measures the spread of data as well as the variance however the variance is the square root of standard deviation. Wfood and nk have low standard deviation and variance values; age has relatively high standard deviation and variance values where as on the other hand totexp and income has a high standard deviation and variance value. As there is a huge data sample many extreme data sets are established.

The coefficient of variation is the ratio of standard deviation to the mean which is a measure of dispersion of data of a variable. Wfood, totexp, income, age and nk have relatively high coefficient of variance which indicate that data is relatively highly dispersed from income being the most dispersed to age being the least dispersed.


Related Discussions:- Descriptive statistics

Disadvantages of median, Disadvantages For calculating median it is ...

Disadvantages For calculating median it is necessary to arrange the data; other averages do not need any arrangement. Since it is a positional average, its value is not d

Time series, merits and demerits of methods to determin trends

merits and demerits of methods to determin trends

Bimodal distribution, There may be two values which occur with the same max...

There may be two values which occur with the same maximum frequency. The distribution is then called bimodal. In a bimodal distribution, the value of mode cannot be determined with

Define the term multicollinearity, Question: (a) (i) Define the term ...

Question: (a) (i) Define the term multicollinearity. (ii) Explain why it is important to guard against multicollinearity. (b) (i) Sometimes we encounter missing values

Applied, Question 1 Suppose that you have 150 observations on production (...

Question 1 Suppose that you have 150 observations on production (yt) and investment (it), and you have estimated the following ADL(3,2) model: (1 – 0.5L – 0.1L2 – 0.05L3)yt = 0.7

Inverse cumulative distribution function, The Null Hypothesis - H0: β0 = ...

The Null Hypothesis - H0: β0 = 0, H0: β 1 = 0, H0: β 2 = 0, Β i = 0 The Alternative Hypothesis - H1: β0 ≠ 0, H0: β 1 ≠ 0, H0: β 2 ≠ 0, Β i ≠ 0      i =0, 1, 2, 3

Cluster sampling, Cluster Sampling This method is also known as multi s...

Cluster Sampling This method is also known as multi stage sampling .Under this method random selection is made of the ultimate or final units from a given stratum. The sampling

Ogive percentile, how do i determine the 40th percentile in an ogive graph

how do i determine the 40th percentile in an ogive graph

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd