Yes. If much of your data has negative values, it's likely that the mean will be negative, too.
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It means distribution is flater then [than] a normal distribution and if kurtosis is positive[,] then it means that distribution is sharper then [than] a normal distribution. Normal (bell shape) distribution has zero kurtosis.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
The normal distribution can have any real number as mean and any positive number as variance. The mean of the standard normal distribution is 0 and its variance is 1.
The distribution of the sample mean is bell-shaped or is a normal distribution.