Question

A normal model can be used for any list of quantitative data which has no outliers. true or false explain

Answer #1

False

Explanation:

A normal model cannot be used for any list of quantitative data which has no outliers because all quantitative data sets do not have normal nature. Sometimes we get the binomial data of the yes/no type or uniform data which distributed uniformly in the given space. The only condition of data being quantitative in nature without outliers is not enough for using or applying a normal model for this data. As we know that most of the quantitative data sets follow a normal distribution when sample sizes are larger. But some quantitative data set without outliers don’t follow a normal distribution in every condition.

{58, 56, 87, 17, 32, 14, 30, 75, 44}
3. Identify any outliers in the data set and list them here.
Explain why they qualify as outliers or, if none, explain the
reasoning for concluding there are no outliers.
4. Create a frequency table for the data from question 1 with
five classes. Show the upper and lower limits of each class and the
frequency associated with each class.
5. Create a steam and leaf plot for the data. On...

can you give a good example of data that can be model by a
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In any regression model, p denotes the number of explanatory
variables in the model. In simple linear regression (SLR),
p=1. True/False?
When testing whether the slope of a explanatory variable is 0 or
not in context of multiple regression, what distribution is used to
determine the p-value? standard normal distribution / t
distribution with n−1 degrees of freedom / t distribution with n−2
degrees of freedom / t distribution with n−p−1 degrees of freedom
?
In multiple regression, there is...

1. Which of the following functions in R can be used to
inspect data object? Select all that apply.
rm
glimpse()
head()
plot
2. To get an overview of your data, one can use the
function:
ls()
args()
summary()
list()
5. Numerical summaries/characteristics of the population
are called parameters.
True
False

It is assumed that the duration of human pregnancies can be
described by a Normal model with mean 266 days and standard
deviation 16 days. The results shown in the accompanying analysis
of pregnancies were based on this normal model. The duration may
not actually follow the normal model, however. Complete a and be
below.
Pregnancy Analysis Results:
i) Assuming the Normal model is true, 21.1% of all pregnancies
last between 270 and 280 days.
ii) Assuming the Normal model...

Question: What is one type of graph that can list "two quantitative
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b). Describe a measure of central tendency for quantitative data
that can be used for three of the four levels of measurement (and
say which of the three levels of measurement are).
c). Describe a measure of central tendency for quantitative data
that can be used for two of the four levels of measurement (and say
which of the two levels...

explain the difference between quantitative and qualitative
data. Give an example of each from the field of criminal justice.
Can both quantitative and qualitative data be used in each of the
four purposes of doing research (list these). Why or Why not?

Which measures of central tendency can be misleading when a data
set contains outliers

Collect some quantitative data (if your data from week 1 is
quantitative, you can use it). Find the sample mean and standard
deviation. Plot it in a histogram. Does the data seem to follow the
bell curve of the normal distribution? What features of the data do
or do not fit in with the shape of the normal curve. How much
deviation from the curve is to be expected?

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