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Q1) Weighted Mean A student of author earned of 92, 83, 77, 84 and 82 on her five regular tests. She earned grades of 88 on final exam and 95 on her class projects. Her combined homework grade was 77. Five regular tests count for 60% of final grade, final exam counts for 10%, project counts for 15% and homework counts for 15%. Determine her weighted mean grade? What letter grade did she earn? (A, B, C, D or F).
Q2) Car Emissions Environmental scientists measured greenhouse gas emissions of a sample of cars. Amounts given below are in tons (per year), expressed as CO2 equivalents. Is value of 9.3 tons unusual?
7.2
7.1
7.4
7.9
6.5
8.2
9.3
Assuming the nurses surveyed were a random sample from the population of all nurses in the United States, we can use these data to test the null hypothesis H0 that there is no association between the row and column variables in this two-way table...
The Type 1 error states the probability of being wrong whenever:
The results of the simple linear regression are provided below.
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p- value.
Let X be the number of correct guesses by your friend in the 100 trials and Use the Normal approximation with the continuity correction - Which of the following might be reasonably modeled by the binomial distribution
Perform hypothesis testing on one variable's data.
Determine percent of the garages take between 29 hours and 34 hours to erect? Determine percent of garages take 28.7 hours or less to erect?
What is the probability of a fatal accident over a lifetime?
For the 20 test scores shown, find the percentile rank for a score of 86.
Find the probability of a type I error α if the true proportion is p=0.6.
Data in table represent number of consumer complaints against major U.S. airlines. If one complaint from table is arbitrarily chosen, determine the probability that it was filed against United Airlines.
A bank wants to get new customers for their credit card. They try two different approaches in their marketing campaign. The first promises a "cash back" reward; the second promises low interest rates. A sample of 500 people are mailed the first br..
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