7th Grade Math Statistics

Statistics is concerned with data collection, description, and analysis, which often leads to the drawing of a conclusion. There are two types of statistics: descriptive statistics and inferential statistics. In grade 7 statistics students’ studies about combinatorics and basic set theory notationProbability definitions, and propertiesCommon discrete and continuous distributionsBivariate distributionsConditional probability, and more topics.

Important points of the Statistics 

 

  • Statistics is made up of five basic words: population, parameter, statistic (singular), sample, and variable.
  • The discipline of data collection and organisation is called statistics. We interpret results based on the analysis done using the measures of central tendencies and the measures of dispersion.
  • The frequency distribution of data is represented using bar graphs, histograms, pie charts, stem and leaf plots, line graphs, or ogives.
  • The data collected can be either quantitative (numerical: discrete and continuous) or qualitative(categorical).

Statistics examples

 

  1. Compute the mean deviation about the mean from the following data.

Size(x): 2, 4, 6, 8, 10

Frequency(f): 2, 4, 5,  3, 1

 Mean = (Σ f x)/N

= [(2×2 + 4×4 + 6×5 + 8×3 +10×1)/15

= (4 + 16+ 30 + 24 + 10)/15

= 84/15 = 5.6


 

2.    Find the standard deviation of 8,10,12,14,16.

 Given, N = 5

Σx= 8+10+12+14+16 = 60

¯xx¯ = 60/5 =12

In statistics, Standard deviation = √Variance

Variance = σ =∑Ni=1(xi−¯x)2N∑i=1N(xi−x¯)2N.

= 1/5[(8-12)2+(10-12)2+(12-12)2+(14-12)2+(16-12)2]

= 1/5[16 + 4 +0 + 4+ 16]

=40/5 = 8

Standard deviation σ = √8 = 2.83

Teachers are looking for lessons, activities, worksheets, quiz, mock test papers that are suitable for 7th grade math.

Here's your compilation of lessons suitable for 7th grade to share with your students. 

Statistics Worksheets
Statistics Problems
Statistics Quiz
Statistics Unit Test


 

 

 

 

 

 

 

Sum Up

 

By thoroughly studying statistics 7th grade, students can easily grasp basic knowledge of large data and it is useful for their further studies of large data sets.


 

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