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In a chi-square goodness-of-fit test the observed value of the test statistic, χ2, was 74.37. The critical value of χ2 was 24.725 based on a significance level α = 0.01 and a degree of freedom = 11. In this situation, the null hypothesis that the observed distribution is the same as the expected distribution is:
true
ambiguous
not rejected at 0.01 significance level
rejected at 0.01 significance level
For each of the following situations, indicate what the general impact on the Type II error probability will be:
Critically discuss the purpose of developing a frequency distribution? What is the relationship between the relative frequency and the cumulative frequency? Could a frequency distribution contain qualitative data? Why?
When would you use a two population test with a small sample size at your place of employment, in your education, or in politics?
Nathan wants to approximate a binomial probability by normal curve areas. The number of trials is 50 and the probability of success for each trial is 0.95
The American Sugar Producers Association wants to estimate the mean yearly sugar consumption. A sample of 16 people reveals the mean yearly consumption to be 60 pounds with a standard deviation of 20 pounds.
Eestimated values of the dependent variable observed values of the dependent variable and the estimated values of the dependent variable None of these answers is correct.
Use a decision tree to describe the possible strategies and the consequences (or payoffs) of each. Show your decision tree.
Carry out suitable multiple comparison procedure to determine the source of the difference.
Within each of your current careers/ jobs, there are sets of data that can be analyzed. For example, a teacher can use a set of test scores, a dietician can analyze a set of patient weights and correlate them to incidences of diabetes, and a sales..
A scientist examined the effect of temperature and catalyst on the yield of a reaction. He ran the experiment at both 150° and 200°C with two types of catalyst.
The response variable is the change in cholesterol level after two months of treatment. An analysis of variance will be used to compare the three treatments. What null hypothesis is tested by this ANOVA F-test?
For the normal distribution curve with mean of 19 and a standard deviation of 6, which range of the variable shows an area under the curve corresponding to a probability of approximately 99.7%?
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