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..

The China Health and Nutrition Survey aims to examine the
effects of the health, nutrition, and family planning policies and
programs implemented by national and local governments. It, for
example, collects information on number of hours Chinese parents
spend taking care of their children under age 6. The side-by-side
box plots below show the distribution of this variable by
educational attainment of the parent. Also provided below is the
ANOVA output for comparing average hours across educational
attainment categories.
Df...

1. The critical F value with 6 numerator and 40
denominator degrees of freedom at α = .05 is
2. Consider the following information.
SSTR = 6750
H0: μ1
=μ2 =μ3
=μ4 = μ5
SSE = 8000
Ha: At least one mean is different
The null hypothesis is to be tested at the 5% level of
significance. The p-value is

A one-way analysis of variance experiment produced the following
ANOVA table. (You may find it useful to reference
the q table).
SUMMARY
Groups
Count
Average
Column 1
6
0.71
Column 2
6
1.43
Column 3
6
2.15
Source of Variation
SS
df
MS
F
p-value
Between Groups
10.85
2
5.43
20.88
0.0000
Within Groups
3.86
15
0.26
Total
14.71
17
SUMMARY
Groups
Count
Average
Column 1
6
0.71
Column 2
6
1.43
Column 3
6
2.15
ANOVA
Source of Variation...

Samples of three different species of amphibian (frog,
toad and salamander) were collected and dissected and the number of
parasites found within each was counted and recorded. The
researchers are interested in determining whether the distribution
of parasites across species is different. The number of parasites
within each sample was counted and recorded.
Frogs
Toads
Salamanders
7
7
3
5
6
3
6
11
2
5
8
5
7
2
4
5
10
2
5
6
5
5
2
2...

In an experiment designed to test the output levels of three
different treatments, the following results were obtained: SST =
320, SSTR = 130,
nT = 19.
Set up the ANOVA table. (Round your values for MSE and
F to two decimal places, and your p-value to four
decimal places.)
Source
of Variation
Sum
of Squares
Degrees
of Freedom
Mean
Square
F
p-value
Treatments
Error
Total
Test for any significant difference between the mean output
levels of the three treatments....

5) A t test comparing a person's score on a test before and
after an intervention yields a p value of .08 (p = .08). What
should you do about the null (H0) hypothesis? Group of answer
choices
a. Reject H0
b. Do not reject H0
c. Accept H0
6)If the null (H0) hypothesis is true, then no difference exists
between populations. Group of answer choices
True
False
7) In an ANOVA, if there is no difference between the groups,...

1a
The following data were obtained from an independent-measures
research study comparing three treatment conditions.
I
II
III
2
5
7
5
2
3
0
1
6
1
2
4
2
2
T =12
T =10
T =20
G = 42
SS =14
SS =9
SS =10
ΣX2= 182
Use an ANOVA with α = .05 to determine whether there are any
significant mean differences among the treatments.
The null hypothesis in words is
Group of answer choices
a. There...

Question 11 (1 point)
As of 2012, the proportion of students who use a MacBook as
their primary computer is 0.41. You believe that at your university
the proportion is actually greater than 0.41. The hypotheses for
this test are Null Hypothesis: p ≤ 0.41, Alternative Hypothesis: p
> 0.41. If you randomly select 30 students in a sample and 14 of
them use a MacBook as their primary computer, what is your test
statistic and p-value?
Question 11 options:...

The following data were obtained from an independent-measures
research study comparing three treatment conditions.
I
II
III
n = 6
n = 4
n =
4
M = 2
M = 2.5
M = 5
N = 14
T = 12
T = 10
T = 20
G = 42
SS = 14
SS = 9
SS = 10
ΣX2tot = 182
Use an ANOVA with α = .05 to determine whether there are any
significant mean differences among the...

A study was done to measure customer satisfaction for 4
different smart phones. The data is given below (the data is a
satisfaction score, out of 100; the higher the score, the more
satisfied the customer was with their phone)
1. iPhone
2. Nokia
3. Blackberry
4. Android
Sample Size
5
4
3
4
Sample Mean
83.0
66.5
73.0
77.0
Overall Mean = 75.5
MSE = 20.54
a) Run a one-factor ANOVA and test H0: μ1 = μ2 = μ3...

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