When we have more data points what effect will this have on our mean?

Having more data points can lead to a more accurate estimate of the mean, as it helps to reduce the influence of outliers and random variation. Generally, as the sample size increases, the sample mean tends to converge toward the true population mean, assuming the additional data points are representative of the population. However, if the new data points are significantly different from the existing ones, they can skew the mean in one direction or another. Overall, more data typically enhances the reliability of the mean calculation.