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For each of the following samples that were given an experimental treatment, test whether these samples represent populations that are different from the general population: (a) a sample of 10 with a mean of 44, (b) a sample of 1 with a mean of 48. The general population of individuals has a mean of 40, a standard deviation of 6, and follows a normal curve. For each sample, carry out a Z test using the five steps hypothesis testing with a two-tailed test at the .05 significance level, and make a drawing of the distributions involved.
Make a decision regarding the null hypothesis based on the sample information. Interpret the results of the test and state your conclusion.
Researchers at the Cornell University Food and Brand Lab conducted an experiment at a fitness camp for adolescents (Wansink & van Ittersum, 2003).
Write a brief summary of the distribution of life expectancy.
Discuss the assumptions of this model. Specifically, how does each variable affect demand? How do the variables influence each other? What limitations might this model have? How can it be improved?
A sample of size 36 results in a sample mean of 7.1. The value of the test statistic is ____
Assuming that the goal of 4% undersized tomatoes is reached, what is the probability of getting no more than 1 undersized tomato in a randomly selected sample of 20 tomatoes?
There are 4 entrances to a building in Philadelphia. The bldg maintenance super would like to know if the entrances are equally utilized. To investigate, 400 people were observed entering the building.
Set up the null and alternative hypotheses for Coca-Cola. In terms of Coke's decision to introduce the new bottle or not, what is a Type I error?
In 2004, Newsmonth reported that 60% of young children have blood lead levels that could impair their neurological development. Assuming that a class in a school is a random sample from the population of all children at risk
Make a scatterplot to determine what kind of relationship there seems to be between the two variables. Use the percent of lead removed as the response variable.
Explain and give examples of how the particular outcomes of a study can suggest if a particular threat is likely to have been present.
A sustained long-term change in the level of the variable that is being forecasted per unit of time is: (A trend, A time series, Seasonality or A change due to business cycles)
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