For the preceding problem you should find that there are significant differences among the three treatments. One reason for the significance is that the sample variances are relatively small. The following data have the same sample means that appeared in the preceding question, but the SS values within each sample are doubled. I II III n = 6 n = 6 n = 6 N = 18 M = 1 M = 2 M = 6 G = 54 SS = 120 SS = 130 SS = 80 ∑X² = 576 Calculate the sample variance for each of the three samples. I II III s² = 24.00 s² = 26.00 s² = 16.00 These values aremuch larger than the variances in the previous question (12.00, 13.00, and 8.00). Predict how the increase in sample variance should influence the outcome of the analysis. That is, how will the F-ratio for these data compare with the value obtained in the previous problem? Larger sample variances shoulddecrease the F-ratio. Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means. Source SS df MS F Fcriticalcritical Between treatments 84 Within treatments 330 Total 414 F Distribution Numerator Degrees of Freedom = 6 Denominator Degrees of Freedom = 16 0.01.02.03.04.05.06.07.08.09.010.011.012.0F Conclusion: Fail to reject the null hypothesis; there are no significant differences among the three treatments. Reject the null hypothesis; there are no significant differences among the three treatments. Fail to reject the null hypothesis; there are significant differences among the three treatments. Reject the null hypothesis; there are significant differences among the three treatments.

just question 18 please

I understand how to find the f-ratio and generate a conclusion however I am really struggling with the p-values.

Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x & y. The second compares the variables w & y O O 00 00 + O Q Which explanatory variable has a stronger relationship with the response variable y? O The first variable (x) has a stronger relationship with the response variable y. O The second variable (w) has a stronger relationship with the response variable y.

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"

The electric cooperative needs to know the mean household usage of electricity by its non-commercial customers in kWh per day.  They would like the estimate to have a maximum error of 0.14 kWh.  A previous study found that for an average family the variance is 4.84 kWh and the mean is 19.1 kWh per day.  If they are using a 80% level of confidence, how large of a sample is required to estimate the mean usage of electricity?   Question 8 options:   45 households   1959 households   949 housholds   405 households

Just question 19 please

A. 2.1

Below is a summary table from an analysis of variance in which means from three groups are compared. However, some numbers are left blank and they are not available from the table. Using the formula from the lecture notes or the textbook, what is the F ratio for this analysis? Sources Between-groups Within-groups Total a. 6.32 b. 3.26 O c. 14.89 Od.8.23 SS 29.78 ( ) 65.11 df ( ) ( ) 17 MS ( ) 2.36 F ( )