one-way between subjects ANOVA produces dftotal = 29 and dfwithin = 27. For this analysis, how many treatment conditions are being compared? a) 1 b) 2 c) 3 d) Cannot determine

A researcher is studying the effects of his newly created lens on vision. He samples 9 people with poor vision and measures their visual distance (in feet) with the lens and then without the lens. Did people’s vision with the lens differ from their vision without?   Participant # With Lens Without Lens 1 8 14 2 6 17 3 9 12 4 7 11 5 5 12 6 9 18 7 8 13 8 9 7 9 7 13   What kind of analysis will you use? Why?  State the null and alternative hypothesis.    Check your assumptions. Explain why each of them are or are not met.    Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s).    Using R, calculate your test statistic and interpret the results of your test. (Don’t forget your 95% confidence interval and screenshots of your work!)  What do you conclude about the null hypothesis? Are there significant differences?

Course/Year 1. Brian, a college administrator, claimed that there was no difference in averages of students coming from three nearby schools A, B, and C. Use the following data to test his claim with a 1% significance level. Ex A-420 2x² 253 Ex B 340 SANOVA Table: 4 Source of Variation Between - column Within - column Total A A. Ho: B. a: 0.01 C. B C 3 _M₁ = M₁₂₁ = M²3 Sum of Squares 2.25 Compute for sum of squares D. Compute for degrees of freedom 84 88 88 E. Compute for mean sum of squares F. Compute for F-value 82 83 80 df 2 Ha: STUDENTS 89 82 89 Mean Sum of Squares 85 83 80 F-value Mr & Mr & M²₂ n₁ = √=n²₁₂₁ = 3 - N = 12 7 Critical Value / Tabular Value Decision

Which choice would be correct? Extraneous variables that are not directly studied but may influence the DV can be statistically controlled by: a.  ANOVA b.  ANCOVA c.  Friedman's two-way ANOVA d.  MANOVA

The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output: Welch Two Sample t-testdata:  yes and not = 3.1181, df = 1098.5, p-value = 0.001867alternative hypothesis: true difference in means is not equal to 095 percent confidence interval: 1.011652 4.445822sample estimates:mean of x mean of y  42.81574  40.08701 Using the provided output, find the 95% confidence interval for the difference of the average amount of hours worked for those that have a college degree vs. those that do not have a college degree (ie: for the difference of two…

Indicate the levels for which measures are being obtained in each type of study of the observational studies: cross-sectional, case-control, and cohort studies using the book of Robert H. Friis; Thomas Sellers.

6) The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment II 3. 6. N= 12 10 G = 60 1 10 EX = 392 1 5. 6. M = 3 M = 4 M= 8 T= 12 T= 16 T= 32 SS = 8 SS = 12 SS = 16 a) Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. b) Calculate n² to measure the effect size for this study. c) Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size. 3.

Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.

A researcher wants to test the effectiveness of a new drug to treat asthma.  One hundred patients with chronic, stable asthma were randomly assigned to one of three groups to receive a placebo (0mg), 1mg of drug, or 5 mg of drug.  After treatment, a doctor tested the patient’s forced expiratory volume for 1 second (FEV1).  Which statistical test would be best to determine if there is a significant difference between groups?     one-sample t-test     dependent samples t-test     independent samples t-test     ANOVA

A Doctor is interested in the proportion of Lyon county residents who were infected with covid-19 virus. There were 425 covid-19 cases reported among 25474 residents in Lyon county a.What is the experimental unit in this experiment?   b.What is the population in this experiment?   c. What is a parameters considered in this experiment?   d. What is a statistics in this experiment?   e. What variables should pollster collect in this experiment?