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the result (gm/kg) were as follows: 10.0.8.9.9.1.11.77.9 for this data calculate the mean, standard decistion and error

Posted: Mon Nov 15, 2021 11:06 am
by answerhappygod
the result (gm/kg) were as follows:
10.0.8.9.9.1.11.77.9
for this data calculate the mean, standard decistion and error
The Result Gm Kg Were As Follows 10 0 8 9 9 1 11 77 9 For This Data Calculate The Mean Standard Decistion And Error 1
The Result Gm Kg Were As Follows 10 0 8 9 9 1 11 77 9 For This Data Calculate The Mean Standard Decistion And Error 1 (61.62 KiB) Viewed 86 times
The Result Gm Kg Were As Follows 10 0 8 9 9 1 11 77 9 For This Data Calculate The Mean Standard Decistion And Error 2
The Result Gm Kg Were As Follows 10 0 8 9 9 1 11 77 9 For This Data Calculate The Mean Standard Decistion And Error 2 (61.62 KiB) Viewed 86 times
The Result Gm Kg Were As Follows 10 0 8 9 9 1 11 77 9 For This Data Calculate The Mean Standard Decistion And Error 3
The Result Gm Kg Were As Follows 10 0 8 9 9 1 11 77 9 For This Data Calculate The Mean Standard Decistion And Error 3 (41.22 KiB) Viewed 86 times
When evaluating a forage crop, it is important to measure the concentration of various components in the plant tissue. In a study on reliability of such measurements, a batch of alfalfa was dried, ground and passed through a fine mesh. Then five small aliquots (0.3 gm) of alfalfa were analyzed for their ash content insoluble. The results (gm / kg) were as follows: 10.0 8.9 9.1 11.7 7.9 For these data, calculate the mean, standard deviation, and error average standard.

Al evaluar un cultivo forrajero, es importante medir la concentración de varios componentes en el tejido de la planta. En un estudio sobre la confiabilidad de tales mediciones, un lote de alfalfa fue secado, molido y pasado a través de una malla fina. Luego, cinco alícuotas pequeñas (0.3 gm) de la alfalfa fueron analizadas por su contenido de cenizas insolubles. (y; - y)2 Los resultados (gm/kg) fueron los siguientes: 10.0 8.9 9.1 11.7 7.9 n - 1 Para estos datos, calcule la media, la desviación estándar y el error estándar de la media. S =