Qualitative data is a set of information which can not be measured using numbers. It generally consist of words, subjective narratives. Result of an qualitative data analysis can come in form of highlighting key words, extracting information and concepts elaboration. For example, a study on parents perception about the current education system for their kids. The resulted information collected from them might be in narrative form and you need to deduce the analysis that they are satisfied, un-satisfied or need improvement in certain areas and so on.
- Better understanding – Qualitative data gives a better understanding of the perspectives and needs of participants.
- Provides Explaination – Qualitative data along with quantitative data can explain the result of the survey and can measure the correction of the quantitative data.
- Better Identification of behavior patterns – Qualitative data can provide detailed information which can prove itself useful in identification of behaviorial patterns.
- Lesser reachability – Being subjective in nature, small population is generally covered to represent the large population.
- Time Consuming – Qualitative data is time consuming as large data is to be understood.
- Possiblity of Bias – Being subjective analysis; evaluator bias is quite feasible.
Quantitative data is a set of numbers collected from a group of people and involves statistical analysis.For example if you conduct a satisfaction survey from participants and ask them to rate their experience on a scale of 1 to 5. You can collect the ratings and being numerical in nature, you will use statistical techniques to draw conclusions about participants satisfaction.
- Specific Quantitative data is clear and specific to the survey conducted.
- High ReliabilityIf collected properly, quantitative data is normally accurate and hence highly reliable.
- Easy communicationQuantitative data is easy to communicate and elaborate using charts, graphs etc.
- Existing supportMany large datasets may be already present that can be analyzed to check the relevance of the survey.
- Limited Options – Respondents are required to choose from limited options.
- High Complexity – Qualitative data may need complex procedures to get correct sample.
- Require Expertise – Analysis of qualitative data requires certain expertise in statistical analysis.
Table of Contents
1.statistics adjusted rsquared
2.statistics analysis of variance
3.statistics arithmetic mean
4.statistics arithmetic median
5.statistics arithmetic mode
6.statistics arithmetic range
7.statistics bar graph
8.statistics best point estimation
9.statistics beta distribution
10.statistics binomial distribution
11.statistics blackscholes model
13.statistics central limit theorem
14.statistics chebyshevs theorem
15.statistics chisquared distribution
16.statistics chi squared table
17.statistics circular permutation
18.statistics cluster sampling
19.statistics cohens kappa coefficient
21.statistics combination with replacement
22.statistics comparing plots
23.statistics continuous uniform distribution
24.statistics cumulative frequency
25.statistics coefficient of variation
26.statistics correlation coefficient
27.statistics cumulative plots
28.statistics cumulative poisson distribution
29.statistics data collection
30.statistics data collection questionaire designing
31.statistics data collection observation
32.statistics data collection case study method
33.statistics data patterns
34.statistics deciles statistics
35.statistics dot plot
36.statistics exponential distribution
37.statistics f distribution
38.statistics f test table
40.statistics frequency distribution
41.statistics gamma distribution
42.statistics geometric mean
43.statistics geometric probability distribution
44.statistics goodness of fit
45.statistics grand mean
46.statistics gumbel distribution
47.statistics harmonic mean
48.statistics harmonic number
49.statistics harmonic resonance frequency
51.statistics hypergeometric distribution
52.statistics hypothesis testing
53.statistics interval estimation
54.statistics inverse gamma distribution
55.statistics kolmogorov smirnov test
57.statistics laplace distribution
58.statistics linear regression
59.statistics log gamma distribution
60.statistics logistic regression
61.statistics mcnemar test
62.statistics mean deviation
63.statistics means difference
64.statistics multinomial distribution
65.statistics negative binomial distribution
66.statistics normal distribution
67.statistics odd and even permutation
68.statistics one proportion z test
69.statistics outlier function
71.statistics permutation with replacement
72.statistics pie chart
73.statistics poisson distribution
74.statistics pooled variance r
75.statistics power calculator
77.statistics probability additive theorem
78.statistics probability multiplicative theorem
79.statistics probability bayes theorem
80.statistics probability density function
81.statistics process capability cp amp process performance pp
82.statistics process sigma
83.statistics quadratic regression equation
84.statistics qualitative data vs quantitative data
85.statistics quartile deviation
86.statistics range rule of thumb
87.statistics rayleigh distribution
88.statistics regression intercept confidence interval
89.statistics relative standard deviation
90.statistics reliability coefficient
91.statistics required sample size
92.statistics residual analysis
93.statistics residual sum of squares
94.statistics root mean square
95.statistics sample planning
96.statistics sampling methods
98.statistics shannon wiener diversity index
99.statistics signal to noise ratio
100.statistics simple random sampling
102.statistics standard deviation
103.statistics standard error se
104.statistics standard normal table
105.statistics statistical significance
108.statistics stem and leaf plot
109.statistics stratified sampling
110.statistics student t test
111.statistics sum of square
112.statistics tdistribution table
113.statistics ti 83 exponential regression
115.statistics trimmed mean
116.statistics type i amp ii errors
118.statistics venn diagram
119.statistics weak law of large numbers
120.statistics z table