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An experiment was conducted to compare the effects of two teaching styles for grade 12 mathematics. the individuals in experiment were grade 12 math students from one particular high school. the students were randomly assigned of the two treatment groups. after 3 week course all students took an identical standardized exam. the response was the students scores on the exam.
a) What is the population of interest?
b) Can we make population inferences? if so did you need to make any assumptions?
c) Can we make casual inferences? that is can we conclude that any difference in team scores was caused by the difference in teaching styles?
Consider that measurement 2 (M2) in random sample of 1000 controls from the Disease Y study population follows the normal distribution.
Support colour-coding on packaged food to indicate healthier options
P-value to test hypotheses,
We often hear you can lie with statistics. This is one way of saying statistics can be easily mis-communicated. Find one example of how statistics are mis-communicated and explain why there was a mis-communication and what you would do to correct ..
If the voice identifications were made by random guess, find the probability that all 9 victims would select the same person?
To determine the public's opinion of the police department, the police chief obtains a cluster sample of 15 census tracts within his jurisdiction and samples all households in the randomly selected tracts. Uniformed police officers go door to door..
Black Hole Pizza Parlor instructs its cooks to put a "handful" of cheese on each large pizza. A random sample of six such handfuls were weighed.
Would you expect the mean absolute percentage error to be more than or less than 0.25? Describe.
Suppose a botanist grows many individually potted eggplants, all treated identically and arranged in groups of four pots on the greenhouse bench.
Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a:
We are interested in comparing the proportions of males and females who think earning a large salary is very important to them. I surveyed 200 of each gender and recorded their answers to the question as yes or no.
Standard deviation was increased to 40, determine the overall effect on their society? Would this change be a good thing?
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