Suppose 180 geology students measure the mass of an ore sample. Due to human error and limitations in the reliability of the balance, not all the readings are equal. The results are found to closely approximate a normal curve, with mean 84 g and standard deviation 2 g. Use the symmetry of the normal curve and the empirical rule as needed to estimate the number of students reporting readings between 78 g and 90 g. The number of students reporting readings between 78 g and 90 g is]. (Round to the nearest whole number as needed.)Assume that a normal distribution of data has a mean of 10 and a standard deviation of 2. Use the empirical rule to find the percentage of values that lie below 4. - - - What percentage of values lie below 4? %On a certain test, the mean is 95 with a standard deviation of 10. The results come very close to fitting a normal curve. Suppose this test is given to a very large group of people. Use the empirical rule to find the percentage of people whose scores are between 75 and 115. What is the percentage of people whose test scores are between 75 and 115? % (Type an integer or a decimal.)Suppose 130 geology students measure the mass of an ore sample. Due fo human error and limitations in the reliability of the balance, not all the readings are equal. The results are found to closely approximate a normal curve, with mean 86 g and standard deviation 1 g. Use the symmetry of the normal curve and the empirical rule as needed to estimate the number of students reporting readings more than 86 g here to see page 1 of the table for areas under the standard normal curve. Click here to see page 2 of the table for areas under the standard normal curve The number of students reporting readings mere than 88 g is (Round to the nearest whole number as needed )