ENVS 178 Jan 10th
If you can add something its quantitative but if you cant add it its categorical
For example you can add GPA of 2 terms but you cant add a dog and a cat.
Horizontal bar graph
X axis moves to Y axis and Y axis moves to X axis
ENVS 178
Feb 14th, 2017
AmirArsalan Rafiei
20692663
Homework
y
we will use this formula and then substitute the numbers. Y= 20, mean=
23.84 and SD = 3.56 we will substitute these numbers into the formula and the answer will
be 1.08. So about 1.08 SD below
Amirarsalan Rafiei
ID: 20692663
Jan 23rd, 2017
Homework
4. a) The distribution for the vineyards is skewed to the right, because the distribution is
skewed to the RIGHT the mean is more than the median.
b) To see if we have any outliners or not we first h
Jan 17th, 2017
Amir Arsalan Rafiei
ID: 20692663
Homework
10. As for the description of the distribution we can say skewed to the right, the center is
around 30 to 31 minutes, with most observations being around the mark of 29 minutes to 32
minutes. As for
ENVS 178
Feb 2nd, 2017
Mid-term review
Answers are for question from lecture slides on learn for Feb 2 nd.
Ch1. #13
Answer:
Who is bears
What is weight, neck size, length, etc
Where not mentioned
When not mentioned
Ch1. #20
Who is vineyards
What is size o
Jan 10th, 2017
Amir Arsalan Rafiei
ID: 20692663
Homework
Questions 1:
a) Is it clearly labeled?
b) Does it violate the area principle?
c) Does the accompanying article tell the Ws and H of the variable?
d) Do you think the article correctly interprets the
ENVS 178
Feb 9th, 2017
AmirArsalan Rafiei
20692663
Homework
2. a. IQR = Q3 Q1 which is 6.55 5.6 = 0.95
range = max min = 7.45 4.15 = 3.3
b. The distributions is going to be skewed to the left because most of the data are going to
be in the lower side whic
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QUESTION #3 a) H0: The average chicken weight is the same for all three levels of the drug in the chick feed. OR 1= 2= 3 where i representsthepopulationaveragechickenweight for theith dose.OR = 0 wherei represents the effect i (difference between trt
1. The RCB ANOVA table:
Tests of Between-Subjects Effects Dependent Variable: IRI Source Corrected Model Intercept SECTION TYPE Error Total Corrected Total Type III Sum of Squares 41.667(a) 600.000 16.667 25.000 .333 642.000 df 3 1 1 2 2 6 Mean Square 13.
Stat 430/830 Solutions 1
Solutions for #1, 2 and 3 are in soln4301.doc, as well as computer output and plots for #4 and 5.
4.
a) From the dot plot of the data we see that the duration is very slightly skewed to the right for
the queens. There are not enou
1. a) The study is observational because the researcher simply observed/gathered information. b) The target population is most likely all commercial bell pepper fields in some specified area (or all quadrats associated with all commercial bell pepper fiel
2. A suitable model can be:
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(3)
where : is the overall mean, "i is the effect of treatment i , $j is the effect of block j and ,ij are
the random errors which are N( 0, F2) - i.e. have a normal distribution with constant variance.
We let
and
. We are
Stat 430/830 Solutions 2
2.
a) Experimental unit: one run of the MLE algorithm with a specific set of random starting values
for the parameters
Treatment: algorithm’s convergence tolerance with three levels log (*) = -1, -2, -3
Response variable: running