0 The graph on the right shows a sample of 325 observations from a population with unknown . Using this information, which of the following best describes the true sampling distribution of the sample mean. 50 Frequency 30 40 40 10 20 Histogram of the Sample Data 1.85 1.90 1.95 2.00 2.05 sample data According to the Central Limit Theorem, the shape of the distribution of sample means will be [Select] because the [Select] According to the Central Limit Theorem, the standard deviation of the distribution of the sample means [Select] sample data According to the Central Limit Theorem, the shap [Select] because the [S uniform bimodal normal exponential According to the Central Limit Theorem, the stanc em, the shape of the distribution of sample means will be use the [Select] sample size is considered large enough standard deviation is greater than 1 population mean is not known standard deviation is considered large enough. em, the staruaru deviation of the distribution of the sample According to the Central Limit Theorem, the standard deviation of the distrib mean [Select] always smaller than the standard deviation of the population equal to the population standard deviation. is always larger than the standard deviation of the population