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Dr Resu Neha Reddy, profile picture
Uploaded byDr Resu Neha Reddy
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Descriptive statistics

The document discusses the concepts of descriptive and inferential statistics, highlighting how descriptive statistics summarize and describe characteristics of a sample. It covers measures of central tendency, variability, skewness, and kurtosis, as well as the importance of determining normal distribution. Additionally, it addresses the sensitivity of statistics to outliers and provides visual representations of data.

Science◦
Related topics:
Central Tendency• Standard Deviation• Normal Distribution•
DESCRIPTIVE STATISTICS Dr. Resu Neha Reddy
Statistics: The collection, organization & interpretation of data. Descriptive Statistics: Values that describe the characteristics of a sample or population. Inferential Statistics: Values that infer results of a sample to the population from which the sample is drawn. STATISTICS DESCRIPTIVE STATISTICS INFERENTIAL STATISTICS Presenting, organizing & summarizing data Drawing conclusions about a population based on data observed in a sample
DESCRIPTIVE STATISTICS  Summarize, describe & characterize the sample being studies.  Determine if the sample is normally distributed (Bell-curve).  Determine if the sample can be compared to the larger population.  Displayed as tables, charts, percentages, frequency distributions & reported as measures of Central tendency.
DESCRIPTIVE STATISTICS  CENTRAL TENDENCY  MEASURES OF VARIABILITY  SKEWNESS  KURTOSIS
Sensitive to extreme values (outliers)
50th Percentile
The Square root of the average of squared deviation taken from arithmetic mean The average of squared deviation taken from arithmetic mean
NORMAL DISTRIBUTION
INTERPERCENTILE MEASURES Describes a score relative to others in a distribution
Skewness= (mean – median)/ SD SKEWNESS SKEWNESS CHARACTER -0.5 and 0.5 fairly symmetrical -1 and -0.5 (negatively skewed) moderately skewed 0.5 and 1 (positively skewed) moderately skewed <-1 (negatively skewed) highly skewed >1 (positively skewed) highly skewed
KURTOSIS It provides a visual estimate of variance in sample.
QUIZ ! 47.7%
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