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According to the historical data, the life expectancy in France is less than or equal to the life expectancy in Germany. A new study has been made to see whether this has changed. Records of 300 individuals from France who died recently are selected at random. The 300 individuals lived an average of 78.2 years with a standard deviation of 7.4 years. Records of 280 individuals from Germany who died recently are selected at random and independently. The 280 individuals lived an average of 77 years with a standard deviation of 6.5 years. Assume that the population standard deviations of the life expectancy's can be estimated by the sample standard deviations. Since the samples that are used to compute them are quite large. At the .05 level of significance, is there enough evidence to support the claim that the life expectancy in France is greater than the life expectancy in Germany?
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 monthly volume of 300 tables, find out total cost, total revenue, and profit.
One suggested environmental determinant of pediatric lung function is the level of cigarette smoking in the home. A researcher wants to do a pilot study with two groups:
Start rolling dice until a particular number, say 3, is obtained, and keep track of how many rolls are necessary. Repeat 100 times. Then find the average.
A study regarding the relationship between age and the amount of pressure sales personnel feel in relation to their jobs revealed the following sample information.
You are interested in knowing if there is a statistical difference in driving speeds between Day 1 and Day 10. Which statistical test would be appropriate? Why?
Draw and label distribution used and position of values found.
In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.
Number of rescue calls received by rescue squad in city follows a Poisson distribution with mu = 2.83 per day. Squad can handle at most four calls a day. Determine the probability that squad will be able to handle all calls on a particular day?
Testing equality of variances - evidence of a difference in the variability of monthly talking time on cell phones for men and women?
The mean time between reoccurring events is exponentially distributed with a mean time between events of 15 minutes.
What will be measurable data in this case and (assume a survey will be conducted and or data can be obtain). What will be at least two independent variables and one dependent variable. (and assuming they are consistent with the collected data)
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