Statistical tests?

Chi squared
Correlation coefficient
Student t test

SD shows spread of data around mean while range is only difference between highest and lowest value
SD reduces effects of anomalies while range includes anomalies
SD can be used to see if the difference between results are significant

Do a statistical test

Investigating difference between two means(continuous data measureable not countable)

Unpaired = Sets of data calculated not from same individual so different sample sizes = n1+n2 -2
Paired = Sets of data calculated from same individual so same sample size = n-1

Investigating difference between expected and observed frequencies(frequency data)

No significant difference between expected and observed frequency/number of colour of corn kernels

Looking at two continuous variables where you are investigating the correlation/association between these two variables(measurements)

No significant correlation between tempearature and enzyme ror

-1 = perfect negative correlation
0 = no correlation
1= perfect positive correlation

Helps compare values with huge range (eg 0.01 to 1000000)
Log10 converts value into how many times 10 has been times by itself to get that value(eg 100 = 2
Log uses original units of data used

increase resolution of instrument used
Method used(taking repeated readings)
changes the size of increment available

Reading = value found from single judgement when using equipment like thermometer
Measurements = Value taken as difference between judgement of two value like taking measurements with ruler. Leads to TWO points of uncertainty

Reading = Half of the increments/subdivision (eg if goes up in ones = ±0.5
Measurement = Equals to the increments/subdivision (eg if goes up in one = ±0.5 x 2 = ±1

Itill be the ±1_ of the last significant digit
eg 1660mg = ±10 (0s dont count)

Uncerainty/value X 100