Question

1. After performing an ANOVA test, with (3,4) degrees of freedom, for data collected during an experiment trying to determine if there is at least one difference between groups. You get a calculated F value of 7.52. Using the table below, find the appropriate critical F value. What should be your conclusion(s), based on those 2 F values and α?

Select ALL that apply

Critical values of F (α= 0.05)

Group of answer choices:

A. My calculated F value is likely to occur randomly

B. There is at least one significant inequality between groups

C. My calculated F value is not likely to occur randomly

D. There is not enough information to reach a conclusion

E. There is not a significant inequality between groups

2. (Select all correct answers) When designing an experiment, and selecting an statistical test for the data collected, we must decide what is our acceptable probabilities of making a Type I error. What are 2 things that can be done to lower the chances of committing a Type I error:

Select ALL that apply

Group of answer choices:

A. Increase the number of samples taken

B. Delete any data does not agree with your hypothesis

C. Decrease the number of samples taken

D. Select a higher α value

E. Select a different statistical test

F. Select a lower α value

3. (Select all correct answers) In an an effort to find a possible treatment for COVID-19, scientists are conducting clinical trials to determine if Remdesivir (an antiviral) is more effective than Hydroxychloroquine (an antimalarial), in reducing the viral load (number of viruses present) on the patient's blood. Patients are assigned randomly into one of three groups: Group 1 (Remdesivir), Group 2 (Hydroxychloroquine), and Group 3 (Placebo). Using the given experimental design information: Which of the following statistical test(s) would be best suited for answering the research question?

Select ALL that apply

Group of answer choices:

A. None of the above

B. T-test comparing viral load between patients from groups “1” and “3”

C. ANOVA comparing viral load between patients from groups “1” and “3”

D. T-test comparing viral load between patients from groups “1” and “2”

E. ANOVA comparing viral load between patients from groups “1” and “2"

F. T-test comparing viral loads between patients from groups “1” and “2” & "3"

G. ANOVA comparing viral loads among patients from groups “1”, “2”, and “3”

4. A UF Biology student wants to determine if the lengths of brown anole lizard tails are longer in Alachua county than in Clay county. He collects 35 in Alachua and 20 in Clay. After measuring their respective tail lengths, he runs a T-test and gets the following results: t-statistic= 0.98, p-value=0.02.

1.What is the correct __________ of degrees of freedom for test?

2.- If α was set at 0.05, the student should ___________ the null hypothesis?

5. The figure below shows that a [ Select ] ["Random", "Negative linear", "Positive logarithmic", "Positive linear", "Negative logarithmic"] relationship between the Length and Weight?

That relationship is better explained by the following statistical [ Select ] ["r: - 0.50", "r= 0.95", "r: -0.02", "r= -0.95", "r: 0.02", "r: 0.50"]

6. Scientists are interested in determining if taking 1000 IU of Vitamin D or Vitamin C daily, are effective in reducing the number of days a patient is symptomatic with a COVID-19. Patients are assigned randomly into one of three groups: Group 1 (Vitamin D), Group 2 (Vitamin C), and Group 3 (Placebo). Using the given experimental design information, what would be the appropriate way to write the null

[ Select ] ["Ho: μ2 = μ3", "Ho: μ1 = μ1= μ3", "Ho: μ1 = μ3 ; Ho: μ2 = μ3", "Ho: μ1 = μ2", "Ho: μ1 = μ3"]

and alternative hypotheses

[ Select ] ["Ha: μ1 ≠ μ3", "Ha: μ1 < μ2", "Ha: μ1 ≠ μ3 ; Ha: μ2 ≠ μ3", "Ha: μ1 ≠ μ2", "Ha: μ2 ≠ μ3", "Ha: μ1 < μ3", "Ha: μ1 <μ3 ; Ha: μ2 < μ3", "Ha: μ2 < μ3"]

if we were to use a t-test? Assume that μ is the average of the number of days a patient is symptomatic for each of the groups.

7. Which statistical test will allow you to determine if there is a significant difference in one continuous independent variable between three groups of categorical dependent variables?

Group of answer choices:

T-Test

One-Way ANOVA

None of the above

Correlation/Regression

Chi-Squared

Answer 1

2). F ) select a lower alpha value. as Type 1 error can be minimised by can be minimized by picking a smaller level of significance α before doing a test (requiring a smaller p-value for rejecting H0).....

3) answer is G. ANOVA comparing viral loads among patients from groups “1”, “2”, and “3”...

If there is more than 2 group t- test is not used it is limited to 2 group...

UR is unreleted

Up is unpaired

R is related or P is paired.   

Dear student i have solved two mcq and rest i am not sure about... Due to time constraint we have been asked to solve only one question.. so olease repost other question seperately...

Do study the image i have attached..