Tellers A bank is studying the time that it takes 6 of itstellers to serve an average customer. Customers line up inthe queue and then go to the next available teller. Here isa boxplot of the last 200 customers and the times it tookeach teller: ANOVA Table Source DFSum ofSquaresMeanSquare F-Ratio P-ValueTeller 5 3315.32 663.064 1.508 0.1914Error 134 58919.1 439.695Total 139 62234.4a) What are the null and alternative hypotheses?b) What do you conclude?c) Would it be appropriate to run a multiple comparisons test (for example, a Bonferroni test) to see which tell-ers differ from each other? Explain.

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Give an statistical principle example for a surgeon

Can you guys help me on this? Thank you!

what is the population of this study

Twenty college students took a practice GRE test at the start and end of a home preparation course. What analysis would you suggest to see if there was a significant change in their quantitative scores? Student's t-test for paired observations Student's t-test for two independent groups Z-test for a binomial proportion One factor ANOVA

When you use data from a published source (you do not collect it yourself) you are using O primary data O secondary data O time series data cross sectional data O census data

What is the symbol for the sample variance?

Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different​ regions? Given that the amounts of arsenic in the samples from region Ahave the highest​ mean, can we conclude that brown rice from region A poses the greatest health​ problem?     Arsenic Amounts (micrograms)                             A 5.8 5.8 6.5 6.5 6.9 7.2 7.3 7.3 7.6 7.6 7.9 7.9   B 4.5 4.9 5.2 5.2 5.5 5.8 5.8 5.9 6.3 6.3 6.4 6.4   C 1.8 3.7 4.1 4.1 4.6 4.6 4.8 5.1 5.2 5.6 5.7 5.7     The Test statistic is:   The P-value is:   The conclusion is: