12. The following data are from a repeated-measures study comparing two treatment conditions. a. Use a repeated-measures ANOVA with a = .05 to determine whether the mean difference between treatments is significant. b. Now use a repeated-measures t test with a = .05 to evaluate the mean difference between treatments. Comparing your answers from a and b, you should find that F = 2. Participant A B C D E F Treatment I 11 8 10 8 7 10 || 13 7 13 8 13 12

12. The following data are from a repeated-measures study comparing two treatment conditions. a. Use a repeated-measures ANOVA with a = .05 to determine whether the mean difference between treatments is significant. b. Now use a repeated-measures t test with a = .05 to evaluate the mean difference between treatments. Comparing your answers from a and b, you should find that F = 2. Participant A B C D E F Treatment I 11 8 10 8 7 10 || 13 7 13 8 13 12

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

You are conducting a study to determine whether the educational level of voters is related to their attitudes towards a presidential candidate. You run the analysis in SPSS and receive the following output. Attitude Between Groups Within Groups Total Sum of Squares Answer: 4.844 39.067 43.911 What is the value of the test statistic? ANOVA df 2 42 44 Mean Square 2.422 .930 F 2.604 Sig. .086
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…
The accompanying data were read from a plot (and are a subset of the complete data set) given in an article. The data represent the mean response times for a group of individuals with closed-head injury (CHI) and a matched control group without head injury on 10 different tasks. Each observation was based on a different study, and used different subjects, so it is reasonable to assume that the observations are independent. y = Study 1 2 3 4 5 6 7 8 9 10 Mean Response Time CHI 302 492 658 684 922 1044 1421 1329 1481 1815 t = Control 250 360 475 (a) Fit a linear regression model that would allow you to predict the mean response time for those suffering a closed-head injury from the mean response time on the same task for individuals with no head injury. (Round your answers to four decimal places.) 525 610 740 880 920 1010 1200 (b) Do the sample data support the hypothesis that there is a useful linear relationship between the mean response time for individuals with no head injury and the…
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 = _____
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…
c) Given the following ANOVA table: S.V d.f SS MS F-ratio Between Within Total ___ 32 36 191.450 104.720 ________ 47.863 _______ _______ i. Complete the ANOVA table. ii. Do the data provide sufficient evidence to indicate a difference among the treatment means? Test using 1% level of significance.
Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different regions? Given that the amounts of arsenic in the samples from region C have the highest mean, can we conclude that brown rice from region C poses the greatest health problem? view the data table of the arsenic amounts. Arsenic Amounts (micrograms) A 4.9 4.9 4.9 5.2 5.3 5.5 5.6 5.7 5.8 5.9 6.1 6.3 B 2.3 3.6 4.5 4.6 4.8 4.8 4.8 5.1 5.1 5.4 5.4 5.5 C 5.7 5.7 6.7 6.9 7.1 7.2 7.2 7.3 7.3 7.4 7.5 7.6 What are the hypotheses to test? H0: mu 1 equals mu 2 equals mu 3μ1=μ2=μ3 H1: At least one…
Can someone please help me with this question?
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
Help please with this question
23. A TV station claims to its advertisers that the mean number of minutes people view the station is 30. The station conducted a survey of 500 of their viewers who commute. The sample statistics are shown below. 29.11 Sx 20.718 A simulation was run 1,000 times based on the results of the survey. The results of the simulation appear below. 40 samples = 1000 mean = 29.101 SD = 0.934 30- 10 27.0 28.0 29.0 30.0 31.0 32.0 Time Based on the simulation results, is the claim that viewers watch the station for an average of 30 minutes plausible? Explain your response, including an interval containing the middle 95% of the data, rounded to the nearest hundredth. Frequency
Vineyard Pines sells clothing online. In 2020, the mean value of orders placed with the company was $34.50. The President of the company made increasing the amount of the average order a priority for 2021. The company has just received the sales data for 2021. You just received the EXCEL file with details of the 400 orders in in the first quarter of 2021. You began by calculating the univariate statistics. Here are your findings:Total sales revenue:$14,000Number of orders in 2021:400Average order: $35.00Standard deviation of the individual orders: $5.20 Required: Determine the P-Value associated with the change in the average order total in 2021. Note that the company’s strategies for growth could have led to a reduction so we cannot assume a one-directional hypothesis. Given the number of data points (orders), you can assume a normal distribution and therefore assume a z-distribution for the data.