Sample size (n) is 16, mean of the sample means (x¯¯) is 15, mean of the sample ranges (R¯)is 6, and population standard deviation is not known. Calculate the UCL and LCL of the mean chart for this process, by using 3-sigma (z=3). n A2 D3 D4 2 1.880 0.000 3.267 3 1.023 0.000 2.575 4 0.729 0.000 2.282 5 0.577 0.000 2.114 6 0.483 0.000 2.004 7 0.419 0.076 1.924 8 0.373 0.136 1.864 9 0.337 0.184 1.816 10 0.308 0.223 1.777 11 0.285 0.256 1.744 12 0.266 0.283 1.717 13 0.249 0.307 1.693 14 0.235 0.328 1.672 15 0.223 0.347 1.653 16 0.212 0.363 1.637 17 0.203 0.378 1.622 18 0.194 0.391 1.609 UCL=13.73, LCL=16.27 Cannot be calculated UCL=12.5, LCL=11.0 UCL = 10.34, LCL = 13.67 UCL = 16.27, LCL = 13.73

Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 35 17 2 30 53 6 20 19 2 26 19 8 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (a) What is the level of significance? State the null and alternate hypotheses. Ho: μ1 = μ2 = μ3; H1: All three means are different.Ho: μ1 = μ2 = μ3; H1: Exactly two means are equal.    Ho: μ1 = μ2 = μ3; H1: Not all the means are equal.Ho: μ1 = μ2 = μ3; H1: At least two means are equal. (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT =   SSBET =   SSW =   Find d.f.BET, d.f.W, MSBET, and MSW. (Use 2 decimal places for MSBET, and MSW.)…

Consider a population distribution of means that come from a normal distribution. The mean of the score distribution(μ)=100 and the standard deviation (σX) =10 and the means are from sample size=16. What is the proportion of means above a means of102.5?

Which would be the appropriate way to test differences in proportions for more than two samples?     t-test if variance is unknown     z-test     paired t-test     F-test for equality of variances     cross-tabulation procedure to conduct a chi-square test

In a hypothesis test for the population variance, the alternate hypothesis is the population variance doesn't equal 17.0. The significance level to be used is 0.05 and the sample size to be taken is 25. The table value(s) to use from the chi-square distribution is/are     12.401 and 39.364. 13.181 39.364 40.671

Calculate the mean and the standard deviation of the sampling distribution of possible sample proportions for each combination of sample size (n) and population proportion (p). (a) n = 336, p = 0.7 mean standard deviation (b) n = 1,344, p = 0.7 mean standard deviation

It is only appropriate and possible to calculate the variance and standard deviation as measures of variability for variables measured using a(n) _____ scale of measurement.

What is the value of n (the number of observations)? What is the value of Se (standard error for the model) (2 decimals)? What is the average of the x variable (2 decimals)? What is the variance of the x variable (1 decimal)?

A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study?        independent-samples t-test     single-sample t-test     z-test for sample mean     related-samples t-test