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The probability of a student getting a A grade in an economics class is .24 and that of getting a B grade is .28. what is the probability that a randomly selected student from this class will get an A or a B in this class? Explain why this probability is not equal to 1.0.
Scores on test form normal distribution with mean of µ = 150 and a standard deviation of σ = 25. Mean for sample is M = 158. Compute test statistics (z score) for sample.
A bar chart to illustrate the differences. What type of statistics was shown? What activities did the newspaper use to make the report?
We are doing a team project for our statistics class and our project is about "Math Anxiety". We are stuck on one question and the questions is "the teams will state the null and alternative hypotheses
Infers that less than 60% of the items are sold within 1 week. Find the probability of the type I error, then state your conclusion in words of the problem at a level of significance of 0.07.
Discuss the assumptions for using a chi-square test. Research articles using and provide practical examples from the reseach to support your assumptions.
a brief description of the graph- a summarizing statement about the main finding shown in the 3 graphs
Explain how many cars would required to go by the speed trap to be 99.8% sure which at least one driver will warm oncoming traffic of the speed trap.
This is a quantitative analysis paper that looks at statistical data and evaluates the results. What are you trying to find? Where did you find your data? How did you get your data?
The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card.
Suppose that verbal scores on SAT exam have a normal distribution with a population mean 500 points and population standard deviation of 100.
In a sample of 1200 police officers, the mean annual salary was $33,000 and the standard deviation was $3200. A random sample of size 70 is drawn from this population. What is the probability that the mean annual salary is between $32,000 and $32,..
Compute the appropriate Test Statistic to test null hypothesis that mean of population is 4.3 against alternative hypothesis μ ≠ 4.3.
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