40913. The following data were obtained from an indepen-dent-measures research study comparing three treat-ment conditions. Use an ANOVA with a = .05to determine whether there are any significant meandifferences among the treatments.TreatmentIIII16.334335

a) The null and alternate hypothesis is H0 : μ1=μ2=μ3HA : Not all the population means are equal…

- - The following data were obtained from an indepen- dent-measures research study comparing three treat- ment conditions. Use an ANOVA with a = to determine whether there are any significant mean differences among the treatments. 3D.05 Treatment II II 5 7 6. 3 5 3

- - The following data were obtained from an indepen- dent-measures research study comparing three treat- ment conditions. Use an ANOVA with a = to determine whether there are any significant mean differences among the treatments. 3D.05 Treatment II II 5 7 6. 3 5 3

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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BANK OF COMMERCE IS STUDYING THE RELATIONSHIP BETWEEN THE MEAN ACCOUNT BALANCE FOR INDIVIDUAL ACCOUNTS AND THE NUMBER OF TRANSACTIONS PER MONTH. AS SAMPLE OF EIGHT REVEALED: CUSTOMER 1 2 3 4 7 MEAN BALANCE 50 32 53 24 15 10 16 27 (PO00S) NO. OF 5 2 7 9 10 4 11 TRANSACTIONS FIND THE COEFFICIENTS OF CORRELATION. DETERMINE AT THE O.01 SIGNIFICANCE LEVEL WHETHER THE CORRELATION IN THE POPULATION IS GREATER THAN ZERO STEP 1. STEP 2 STEP 3 STEP 4
14.2 Explain why you should use ANOVA instead of several t tests to evaluate mean differences (i.e. differences between treatment groups) when an experiment consists of three or more treatment conditions.
LSU's Ag. Center wants to determine whether the mean yield for sugarcane is different this year compared to the historical avg of 8,700 lbs of sugar per acre. Thus, the null and alternative hypotheses are Ho: mu = 8,700 Ha: mu is not = to 8,700 You set out to conduct a hypothesis test at the 95% level. Mean yields are distributed Normally. You take a sample of 100 different acres. From this sample, you calculate a mean yield of 8,853 and a std deviation of 1,150. What are the bounds for the acceptance region for this hypothesis test? Group of answer choices -1.64 to 1.64 -2.58 to 2.58 -1.33 to 1.33 -1.96 and 1.96
Q18. Why do we conduct post hoc analysis in ANOVA? a. To make a comparison on individual adjusted R-squares B. To make a comparison of the individual group meansC. To make a comparison of the individual group scatter plots D. None of the above
"Conservationists have despaired over destruction of tropical rain forest by logging, clearing, and burning." These words begin a report on a statistical study of the effects of logging in Borneo. Here are data on the number of tree species in 12 unlogged forest plots and 9 similar plots logged 8 years earlier: 22 18 22 20 15 21 13 13 19 13 19 15 17 4 18 14 18 15 15 10 12 Unlogged Logged Does logging significantly reduce the mean number of species in a plot? Assume equal population variances and use a = 0.05. Use the difference: logged - unlogged. 1. Test Stat: 2. Critical Region: a. T> -1.729 b. Tabs (-1.729) c. T abs (-1.729) 3. Conclusion: At 5% level of significance a. logging reduces the mean number of species in the plot b. there is no evidence that logging reduces the mean number of species in the plot
A researcher is trying to determine if there is a significant relationship between number of hours spent cycling each week and resting heart rate among study participants. Which procedure should he use? Group of answer choices: Mean ANOVA One-way chi square Correlation
Can you help me with the p-value I answered 0.034 which is incorrect
A personal fitness company produces both a deluxe and a standard model of a smoothie blender for home use. Selling prices obtained from a sample of retail outlets follow. Model Price ($) Retail Outlet Deluxe Standard 1 39 27 39 29 3 45 35 4 38 30 5 40 30 6 39 34 7 34 29 (a) The manufacturer's suggested retail prices for the two models show a $10 price differential. Use a 0.05 level of significance and test that the mean difference between the prices of the two models is $10. State the null and alternative hypotheses. (Use u, = mean price for the deluxe model – mean price for the standard model.) O Ho: Hg + 10 H: H = 10 O Ho: Hg s 10 H: Hg > 10 O Ho: H > 10 H: ug s 10 O Ho: H = 10 Ha: s 10 O Ho: Hd = 10 H: Hg + 10 Calculate the value of the test statistic. (Round your answer to three decimal places.) |-1.159 Calculate the p-value. (Round your answer to four decimal places.) p-value = 2.58 State your conclusion. O Reject H.. There is insufficient evidence to conclude that a $10 price…
Think about doing an Independent-Measures ANOVA, Step 3. If the data are as follows, find the SS-between. GROUP 1 GROUP 2 GROUP 3 1 3 5 3 2 7 2 4 6 A) SS-between = 26.00 B) SS-between = 42.00 C) SS-between = 6.00 D) SS-between = 13.00
According to a recent article about individuals who have credit cards, the mean number of cards per person with credit cards is 4.5. To test this result a random survey of 60 individuals who have credit cards was conducted. The survey only includes the number of credit cards per participant. The results of the survey are attached below. (a) What is the variable of interest in this study? Is it qualitative or quantitative? (b) Do the results of the survey imply that the mean number of cards per individual is less than 4.5? Use the a = 0.05 level of significance. E Click the icon to view the data from the survey. (a) What is the variable of interest in this study? Is it qualitative or quantitative? The variable of interest is number of credit cards.It is a quantitative variable. (b) Do the results of the survey imply that the mean number of cards per individual is less than 4.5? Use the a = 0.05 level of significance. State the null and alternative hypotheses. Họ: H = 4.5 < 4.5 H1: H…
The following data represent the results from an independent-measures study comparing itwo treatment conditions. Test at 0.05 level of significance to determine whether there is a significant mean difference between the two treatments. Use 4 decimal places.Treatment I Treatment II 8 2 7 3 6 3 5 5 9 2STATISTICS = _____COMPUTED VALUE = _____TABULAR VALUE = _____CONCLUSION = _____
Suppose a car's city miles per gallon rating can be determined by the car's weight. The means and standard deviations of these variables and the correlation coefficient between them are reported in the following table: What proportion of the variability in cars' miles per gallon ratings is explained by the least squares line with weight?