The following is the ANOVA data obtained from a balanced CRD: ANOVA: Source of Variation Degree of Freedom Sum of Squares Mean Squares F-calculate TRT ERROR TOTAL --- 23 41 14.6 94.1 --- ---
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- Data is collected to compare two different types of batteries. We measure the time to failure of 10 batteries of each type. Battery A: mean= 8.65 Battery B: mean=11.23 Assume equal variances. Perform a .05 level test to determine if Battery B outlasts Battery A by more than 2 hours. Use Sp= .88569 What is the Chart Value for this problem?The following is the ANOVA data obtained from a balanced CRD: ANOVA: Source of Variation Degree of Freedom Sum of Squares Mean Squares F-calculated TRT 10.5 90.4 ERROR TOTAL --- 20 42 --- --- Your are interested to evaluate treatments effects using the following hypothesis: Ho: M1 = μ2 = Ut ---against--- HA: µ1 ‡ µ2 ‡... Mt 1. What is the number of treatments in this experiment? (place your answer in the box below) 2. Evaluate the F calculated for the treatment effect, and indicate if you are going to reject(R) or fail to reject(FR) the null hypothesis using an ALPHA= 0.01 (R/FR; place your answer right beside the calculated number of treatments)A sampie of 20 people has a mean age of 32 with a variance of 2. Test the hypothesis that the population mean age is less than 30 at 5% level of significance.
- An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n =12 participants in each treatment. For this study, what is df within and dfb ?A researcher is interested in the relationship between cigarette smoking and BMI (kg/m2) in adolescents. In order to test his hypothesis, the researcher decides to divide cigarette smoking into four groups based on the number of cigarettes smoked per day versus a control group of never smokers. The following incomplete ANOVA table summarizes a preliminary analysis for the difference in mean BMI for the groups. Sum of Squares df Mean Square Between Groups 54 Within Groups 38 Total 197 Fill in the ANOVA table above for all missing values. B) Calculate your F statistic for the one way analysis of variance.A lot size of 500 cartons of food A is to be inspected using ANSI/ASQ Z1.4-2003 (refer to Appendix), with an AQL of 1.5% for critical defect and 2.5% for major defect of a double normal level II plan. Explain how acceptance and rejection can be done on a critical and a major defect.
- The valve pressure was tested on 250 engines and the mean pressure was 5.9 lbs/square inch. Assume the variance is known to be 0.36. If the valve was designed to produce a mean pressure of 5.8 lbs/square inch, is there sufficient evidence at the 0.02 level that the valve performs about the specifications?An ANOVA is used to evaluate the mean difference among three treatment conditions with a sample of n= 12 participants in each treatment. For this study, what is df between treatments?the working life time, in years, of a oven is normally distributed with mean 9 and variance 2.25. Use new Cambridge statistical tables, find the 30th percentile of the working lifetime, in years.
- Data is collected to compare two different types of batteries. We measure the time to failure of 10 batteries of each type. Battery A: mean= 8.65 Battery B: mean=11.23 Assume equal variances. Perform a .05 level test to determine if Battery B outlasts Battery A by more than 2 hours. Use Sp= .88569 What is your Test Statistic Value?Women's heart beats per minute are normally distributed with a mean of 72bpm and a std. dev. of 12bpm. Use the empirical rule to determine what percent of women would have heartbeats between 48bpm and 96bpm.