- - 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

"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…

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"

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 between treatments? 2 11 33 35

At the .05 significance level, does the data below show significant correlation? x y 3 12.87 4 13.66 5 17.95 6 23.44 7 15.93 8 13.62 9 27.91