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A researcher is studying the effects of temperature on eating behavior. It is known that the population normally eats an average of 21 grams of food a day. A random sample of n=100 and selected and put into a controlled atmosphere where the temperature is maintained at 90 degrees. The daily food consumption for the sample averages 18.7 with SS=2475. Using a two-tailed test at the .05 level, can the researcher conclude that temperature has an effect on eating behavior?
The random variable "x" is the number of times he wins in 20 attempts at the game. Find the mean and std dev. for this experiment.
Assuming that = 119.5 ng.ml, test the claim that the mean cotinine level of all smokers is equal to 200.0 ng/ml. Use a 0.05 significance level.
In a large university, 15% of the students are female. If a random sample of twenty students is selected,
What is the importance of pretesting questions and instruments? What are risks of not doing this? Provide an example
What is the most controllable method of increasing the precision (narrowing) of the confidence interval? What percentage of times will the mean (population proportion) not be found within the confidence interval?
When combining probabilities, to find the probability of one event AND another event, the separate probabilities should be:
What are examples of the populations parameters we are trying to estimate for sample data?
Which combination of factors produces smallest risk of Type I error?
Use Hypothesis testing to compute te correlation between these two variables and these it for significance. Test at .01 level of significance.
Since she is allowed to reserve one time if her first serve is out what should her serving strategy be?
To guarantee that cans of soda are properly filled, some cans are sampled and the amounts measured. The overall average for the samples is 12 ounces.
If the true mean for Saturday sales is now $4500, what is the probability of accepting the (false) null hypothesis.
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