The article cited in Exercise 19 provides measures of electrical conductivity (in uS/cm). The results are presented in the following table. Sample Size 49 Location Mean SD Upstream 463 208 Midstream 363 98 31 Downstream 647 878 30 Can a one-way analysis of variance be used to determine whether conductivity varies with location? Or is one of the necessary assumptions violated? Explain.

The article cited in Exercise 19 provides measures of electrical conductivity (in uS/cm). The results are presented in the following table. Sample Size 49 Location Mean SD Upstream 463 208 Midstream 363 98 31 Downstream 647 878 30 Can a one-way analysis of variance be used to determine whether conductivity varies with location? Or is one of the necessary assumptions violated? Explain.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

According to data released by the Organization for Economic Cooperation and Development (OECD) in 2018, the French spend more time eating their meals than anybody else. Perform a hypothesis test to determine if a difference exists between the average time an American spends eating lunch when compared to a person from France. The given data represents the time, in minutes, that random French and American diners spent at lunch. Assume that the population variances are equal. American 21 French 24 17 18 O A. tx=2.34 O B. t=1.41 O C. t = 1.63 O D. t = -2.20 X 17 20 20 28 25 16 18 29 17 20 16 If Population 1 is defined as French diners and Population 2 is defined as American diners, then what is the test statistic for this hypothesis test? Round to two decimal places as needed. Clear all Check answer
Two companies produce widgets of varying quality. An important measure of quality is the number of days the widgets can go before they need to be replaced. Do the following data provide evidence that the quality of widgets from the two companies differ? Round the p-value to three decimal places. Do not assume equal variances. Widget Life in Days from Company 1 13.0 13.2 43.2 40.7 55.0 57.3 43.8 49.9 31.7 Widget Life in Days from Company 2 57.1 57.7 59.1 58.7 51.6 57.9
The statistical procedure that calculates a linear relationship between two interval/ratio variables is known as _______.
pls do letter B
Do E) i ii & iii please
The number of ornaments placed on trees is recorded. The results are as follows: 26 26 22 29 24 30 26 34 21 24 20 31 20 35 32 33 26 26 29 29 Find the Mean, Median, Mode, Midrange, Variance and Standard Deviation of the data.Round to 2 decimal places if necessary. Mean: Median: Mode: Midrange: Variance: Standard Deviation:
Answer Q.1
Heights The heights (cm) in the following table are from Data Set 1 “Body Data” in Appendix B. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude? XLSTAT
The goal of analysis of variance (ANOVA) is toa. detect differences in treatment variances (or variances for different populations).b. detect differences in treatment means (or means for different populations).c. analyze the average variances for different populations.d. analyze the variances of the variances for different populations.
The strength test carried out on samples of two yarns spun to the same count gave the following results Sample size Sample mean Sample Variance Yarn A 4 52 42 Yarn B 9 42 56 The strengths are expressed in pounds. Is the difference in mean strength significant of sources from which the sample are drawn?
HEIGHT OF GRADE 11 STUDENTS 150.8 cm 151 сm 160 cm 153.5 cm 165.3 cm 170.2 cm 167.5 cm 158.5 cm 174.6 cm 154.5 cm 140.8 cm 164.3 cm 170.4 cm 155 cm 160 cm 141 cm 150ст 163.5 cm 163 cm 161 cm Find: a. Mean b. Median c. Mode (identify the type of mode) d. Range e. Standard Deviation f. Variance g. Average Deviation h. Skewness (identify the skewness)
Two companies produce widgets of varying quality. An important measure of quality is the number of days the widgets can go before they need to be replaced. Do the following data provide evidence that the quality of widgets from the two companies differ? Round the p-value to three decimal places. Do not assume equal variances. Widget Life in Days from Company 1 Widget Life in Days from Company 2 12.0 52.2 14.0 45.8 48.4 44.6 47.0 57.5 50.4 44.2 57.4 50.8 30.8 43.0 30.0