Mg3N2 + 3H2O --> 3MgO + 2NH3
Trial 1
Trial 2
Mass of Mg in g ±0.0001 g
0.3059g
0.2846g
Mass of crucible and lid + residue in g ±0.0001 g
28.9329g
29.6265g
Mass of residue in g ±0.0001 g
0.4788g
0.5016g
Mass of used oxygen in g ±0.0001 g
0.1729g
0.2170g
Moles of Mg
0.012586
0.011710
Moles of O
0.010806
0.013562
Normalized moles of Mg
1.1647 mol of Mg
1 mol of Mg
Normalized moles of O
1...
Define empirical and theoretical probability.
Describe a situation where empirical probability would be
used.
Explain why your situation represents empirical
probability.
(1) Describe the difference between empirical and
theoretical probability.
(2) Find the theoritical probability of tossing three coins and
getting 2 heads, 1 tail.
(3) Toss three coins at once 50 times and record the out come of
getting 2 heads, 1 tail.
(4)) Based on your observations, give the empirical probability of
each result.
Define the characteristics of a probability measure, and explain the difference between a theoretical probability distribution and an empirical probability distribution (a priori vs. a posteriori). (1 point)
Describe the characteristics of a normal distribution. (1 point)
Explain the importance of the central limit theorem. (1 point)
What is probability? Describe classical, empirical, and
subjective probability, and provide "real-world" examples of each.
How can each of these types of probability apply to the business
world? Do you think any one type is more useful in business than
the others? Why or why not?
The student will compare and contrast empirical data and a
theoretical distribution to determine if Terry Vogel's lap times
fit a continuous distribution.
Directions :
Round the relative frequencies and probabilities to four decimal
places. Carry all other decimal answers to two places.
Collect the Data
1. Use a stratified sampling method by lap (races 1 to 20) and a
random number generator to pick six lap times from each stratum.
Record the lap times below for laps two to...
What are the theoretical explanations for the environmental
Kuznets curve, and why is empirical evidence on the existence of
such a relationship so mixed?
19. Classify the following statement as an example of classical
probability, empirical probability, or subjective probability.
Explain your reasoning.
The probability that a randomly selected number from 1 to 400 is
divisible by 6 is 0.165.
This is an example of ___ probability since ____.
18.Classify the following statement as an example of classical
probability, empirical probability, or subjective probability.
Explain your reasoning.
According to a survey, the probability that an adult chosen at
random is in favor of a...