MATH 302 (MATH302)
American Public University
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2024 PASSED EXAM MATH 302 Week 8 Test American Public University
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2024 PASSED EXAM MATH 302 Week 8 Test American Public University
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MATH302 Week 5 Discussion Confidence Intervals and Sample Size APU
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Using the data set you collected in Week 1, excluding the super car outlier, you should have calculated the mean and standard deviation during Week 2 for price data. Along with finding a p and q from Week 3. Using this information, calculate two 95% confidence intervals. For the first interval you need to calculate a T-confidence interval for the sample population. 
You have the mean, standard deviation and the sample size, all you have left to find is the T-critical value and you can calculate ...
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MATH302 Week 5 Knowledge Check Homework Practice Questions APU
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1.	Question: Suppose a marketing company wants to determine the current proportion of customers who click on ads on their smartphones. It was estimated that the current proportion of customers who click on ads on their smartphones is 0.68. How many customers should the company survey in order to be 97% confident that the margin of error is 0.29 for the confidence interval of true proportion of customers who click on ads on their smartphones? 
2.	Question: There is no prior information about the ...
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MATH302 Week 5 Test 5 Critique APU
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Math302 Week 5 Test Critique 
Test 5 was challenging and really tested our knowledge of this week’s lessons. I took the test twice and was able to do better on my second attempt. In reviewing the test to see where I missed the 100% mark, I see that my response to question #18 was incorrect, in looking at this multiple times, I do not recognize an error. The grading feedback is not helpful as I correctly answered the question:
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MATH302 Week 5 Test APU 20 Q's and A's
- Exam (elaborations) • 15 pages • 2024
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1.	Question: The population standard deviation for the height of college football players is 2.7 inches. If we want to estimate a 95% confidence interval for the population mean height of these players with a 0.65 margin of error, how many randomly selected players must be surveyed? 
2.	Question: The population standard deviation for the height of college basketball players is 2.9 inches. If we want to estimate a 99% confidence interval for the population mean height of these players with a 0.45...
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MATH302 Week 4 Test - 20 Questions and Answers APU
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1.	Question: A dishwasher has a mean life of 11.5 years with an estimated standard deviation of 1.5 years ("Appliance life expectancy," 2013). Assume the life of a dishwasher is normally distributed. Find the number of years that the bottom 10% of dishwasher would last. Round answer to 2 decimal places. 
2.	Question: The size of fish is very important to commercial fishing. A study conducted in 2012 found the length of Atlantic cod caught in nets in Karlskrona to have a mean of 47.8 cm and a s...
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MATH302 Week 4 Test 4 Critique
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MATH302 Week 4 Test 4 Critique
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MATH302 Week 4 Knowledge Check Homework Practice Questions APU
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1.	Question: Find the area under the standard normal distribution to the left of z = -1.05. Round answer to 4 decimal places. 
2.	Question: Arm span is the physical measurement of the length of an individual's arms from fingertip to fingertip. A man's arm span is approximately normally distributed with mean of 70 inches with a standard deviation of 4.5 inches. Find length in inches of the 99th percentile for a man's arm span. Round answer to 2 decimal places. 
3.	Question: Find P(-1.96 ≤ Z ≤...
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MATH302 Week 4 Discussion The normal distribution I and II APU
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W4: The normal distribution I and II 
Recall the car data set you identified in Week 2. We know that this data set is normally distributed using the mean and SD you calculated. (Be sure you use the numbers without the supercar outlier)
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MATH302 Week 3 Discussion Probability and counting rules Discrete probability distributions
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W3: Probability and counting rules; Discrete probability distributions 
Recall the car data set you identified in Week 2. You will want to calculate the average for your data set. (Be sure you use the numbers without the supercar outlier) Once you have the average count how many of your data points fall below the average. You will take that number and divide it by 10. This will be your p or "success" in your problem. Once you have p, calculate q.
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