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- In applying statistics, we make decisions with less than 100% certainty (We are not always correct in our conclusion). False O TrueIn your own words, use an example to explain what a random variable is.11. Consider the following experiment: Flip a coin. If heads, roll a die twice and record the sum of the outcomes. If tails, roll a die three times and record the sum of the outeomes. What is the probability the sum is 187
- We believe that 95% of the population of all Elementary Statistics students consider Statistics an exciting subject. Suppose we randomly and independently selected 20 students from the population. If the true percentage is really 95% find the probability of observing 19 or more of the students who consider statistics to be an exciting subject in our sample of 20.When playing games of chance like roulette, people often say that a particular outcome is due, implying that one income is more likely because it has not happened in a while. This is fallacy because in these examples of outcome of each trial is: a. independent b. dependent c. subjective d. interrelativeplease help
- Please answer part a-d with correct answer.What is the purpose of a contingency table a. It summarizes the frequencies of two variables so that they can be compared. b. It lists the different levels of p value for tests of significance. c. It shows the results you would expect to find by chance. d. It compares the results you might get from various statistical tests.