Question 2 One give you the distribution of all the shop turnovers of a large company in k€ (thousands of euros). Numbers classes xi ni [200 ; 400[ [400 ; 600[ [600 ; 1,000|[| [1,000 ; 1,600[| [1,600 ; 2,000|[ [2,000 ; 2,400|[| [2,400 ; 4,000[| 20 40 130 86 100 20 4 1) Calculate and interpret the mean and the standard deviation. 2) Calculate and interpret the median using the linear interpolation method

Question 2 One give you the distribution of all the shop turnovers of a large company in k€ (thousands of euros). Numbers classes xi ni [200 ; 400[ [400 ; 600[ [600 ; 1,000|[| [1,000 ; 1,600[| [1,600 ; 2,000|[ [2,000 ; 2,400|[| [2,400 ; 4,000[| 20 40 130 86 100 20 4 1) Calculate and interpret the mean and the standard deviation. 2) Calculate and interpret the median using the linear interpolation method

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter11: Data Analysis And Displays

Section11.4: Two-ways Tables

Problem 12E

See similar textbooks

Similar questions

Weekly rates of return (on an annualized basis) for certain securities over a given period are believed to be normally distributed with a mean of 8.00% and variance of 0.25. Give two values x, and x, such that you are 95% sure that annualized weekly returns will be between the two values.
Assuming a loss frequency of a loss occurring once every 2 years and that the average value of losses that occur might be $40,000. Based on the above examples the expected loss is
Cardiovascular Disease Suppose the incidence rate of myocardial infarction (MI) was 5 per 1000 among 45- to 54-year-old men in 2000. To look at changes in incidence over time, 5000 men in this age group were followed for 1 year starting in 2010. Fifteen new cases of MI were found. Suppose that 25% of patients with Mi in 2000 died within 24 hours. This propartion is called the 24-hour case-fatality rate. Of the 15 new MI cases in the preceding study. 5 died within 24 hours. Test whether the 24-hour case- fatality rate changed from 2000 to 2010.
Cardiovascular DiseaseSuppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found.Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate.7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010.
Cardiovascular DiseaseSuppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found. Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate.7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010.
Cardiovascular DiseaseSuppose the incidence rate of myocardial infarction (MI) was 5 per 1000 among 45-to 54-year-old men in 2000. To look at changes in incidence over time, 5000 men in this age group were followed for 1 year starting in 2010. Fifteen new cases of MI were found. Suppose that 25% of patients with MI in 2000 died within 24 hours. This proportion is called the 24-hour case-fatality rate. 7.14 Of the 15 new MI cases in the preceding study, 5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010. 7.15 Suppose we eventually plan to accumulate 50 MI cases during the period 2010–2015. Assume that the 24-hour case-fatality rate is truly 20% during this period. How much power would such a study have in distinguishing between case-fatality rates in 2000 and 2010–2015 if a two-sided test with significance level .05 is planned? 7.16 How large a sample is needed in Problem 7.15 to achieve 90% power?
Suppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found. Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate. >Suppose we eventually plan to accumulate 50 MIcases during the period 2010–2015. Assume that the24-hour case-fatality rate is truly 20% during this period.How much power would such a study have in distinguishingbetween case-fatality rates in 2000 and 2010–2015 if atwo-sided test with significance level .05 is planned?
The Central Limit Theorem; 1. The recent Statistics test scores of Grade 1 pupils of Baesa Elementary School is normally distributed with a mean of 41 and a standard deviation of 6. If a random sample of 60 pupils is selected and their scores are recorded, (A) find the probability that their average score is greater than 40 but less than 42, and, (B) determine the number of sample means falling below 40.
The ---------- of disease represents the rate of occurrence of new cases arising in each period in a specified population.
Suppose that the incidence rate pf myocardial infraction (MI) was 5 per 100 among 45 - 50 year old men in 2000. To look at changes in incidence over time, 5000 men in this age groups were followed for 1 year starting in 2010. Twenty new cases of MI were found. Suppose we eventually plan to accumulate 50 MI cases during the period 2010-2015. Suppose that 20% of the patients with MI in 2000 died within 24 hours. This proportion is called the 24 hour case fatality rate. A test is performed to see if the true proportion of 24 hour case fatality rate differs from 20%, with significance level of 0.01. Assume that the 24-hour case fatality rate is truly 25% during the period. how large a sample is needed to achieve 92% power?
Suppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found. Q.)Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate. 7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010. 7.15 Suppose we eventually plan to accumulate 50 MIcases during the period 2010–2015. Assume that the24-hour case-fatality rate is truly 20% during this period.How much power would such a study have in distinguishingbetween case-fatality rates in 2000 and 2010–2015 if atwo-sided test with significance level .05 is planned? 7.16 How large a sample is needed in Problem 7.15 toachieve 90% power?
Two mechanics are changing oil filters for the arriving customers. The service time has an Exponential distribution with mean 12 minutes for the first mechanic, and mean 3 minutes for the second mechanic. When you arrive to have your oil filter changed, your probability of being served by the faster mechanic is 0.8. (1) Use simulation to generate 10000 service times and estimate the mean service time for yourself. (2) Summarize your data with R code hist(x, probability = TRUE) and mean(x), where x is an array representing your simulated data. Add to the histogram two vertical lines indicating the simulated mean and the theoretical mean. A histogram can be made based on frequencies. A density histogram can also be made. To get a density histogram, the height of each bar is divided by the total number of values, and then by the length of the bar. Such a histogram has a vertical scale comparable with the probability density function of the distribution from which data are randomly…