3
Not really, the better expiriment would be if you used both sides of t he penny and compare all of your trials.
Draw a valid conclusion for that experiment.
Amy can assume that increasing the number of trusses increases the strength of the bridge.
repeated trials
The number of trials does not affect the result as each individual trial or experiment yields its own result caused by random small variations in the techniques used. What is affected is the conclusion derived from pooling all the individual results for the same type of trial and analysing the value obtained by statistical methods. It is generally reckoned that at least seven trials are required for the purpose of statistics and the analysis is commonly expressed as the Mean (average value) and Standard Deviation, (a number that reflects the extent of the variation between the individual trials). However, different statistical methods are used for analysing different types of data, the commonest reflecting the difference between parametric (the variation is the same on both sides of the mean) and non-parametric (The spread of variation is greater on one side of the mean than the other). Obviously a considerable number of individual trials is required to be able to make a valid distinction between the two.
A minimum of 6 sets of data are needed to make a valid conclusion.
the answer is to conduct multiple trials
Not really, the better expiriment would be if you used both sides of t he penny and compare all of your trials.
Draw a valid conclusion for that experiment.
To make an experiment valid you have to make sure that the experiments results answer the question that you first started from.
Amy can assume that increasing the number of trusses increases the strength of the bridge.
cheese
The number of trials does not affect the result as each individual trial or experiment yields its own result caused by random small variations in the techniques used. What is affected is the conclusion derived from pooling all the individual results for the same type of trial and analysing the value obtained by statistical methods. It is generally reckoned that at least seven trials are required for the purpose of statistics and the analysis is commonly expressed as the Mean (average value) and Standard Deviation, (a number that reflects the extent of the variation between the individual trials). However, different statistical methods are used for analysing different types of data, the commonest reflecting the difference between parametric (the variation is the same on both sides of the mean) and non-parametric (The spread of variation is greater on one side of the mean than the other). Obviously a considerable number of individual trials is required to be able to make a valid distinction between the two.
repeated trials
Repeatable
A control is needed in a valid experiment because without controls then more then one variable is being tested. This can mess up the results.
a control group and statistical analysys of the resultsalso, to be considered valid, the results of a scientific experiment must be repeatable and still proven correct.