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A student receives test scores of 62, 83, and 91. The student's final exam score is 88 and homework score is 76. Each test is worth 20% of the final grade, the final exam is 25% of the final grade and the homework grade is 15% of the final grade. What is the student's mean score in the class?
For the set of data below construct a grouped frequency distribution that as well contains the real limits of each interval, midpoint of each interval, the cumulative frequency,
When selecting 3 different side dishes from the 16 available choices. What was the incorrect number stated by Joe Montana in the ad?
Is there evidence to suggest that the training course helps out sales people?
Suppose the counselor found the sum of squared deviations from the mean of the sample to be 135. Given that he tested 10 people, what would be the estimated population variance?
If new inspector measures 101 stampings with variance of 0.13 square inch, test at 0.05 level of significance whether inspector is making satisfactory measurements. Suppose normality.
Topic: Statistics: Monte Carlo Algorithm. Describe a monte carlo algorithm to approximate the expected number of students who end up selecting their own exam paper
1. For the following questions, a calculated probability of equal to or less than 0.05 is considered significant. a. Is it significant to get a 12 when a pair of dice is rolled? Show evidence and discuss.
A young woman in that age group is randomly selected; independently, a young man in that age group is randomly selected. What is the probability that the young man is taller than the young woman by more than 5 inches
At alpha = 0.05, test to see if the coefficient of x1 is significantly different from zero. Determine the multiple coefficient of determination.
The accompanying data refers to concentration of the radioactive isotope strontium-90 in milk samples obtained from five randomly selected dairies in each of four different regions.
a mixture of methanol and methyl acetate contais 15.0wt methanola. using a single dimensional equation determine the
When I repeat the regression but do a regression through the origin (i.e. no intercept), the correlation coefficient between x and u becomes -0.24117, and I am not sure why. I have to use the Pearson correlation coefficient formula to explain this..
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