Question

Attribute and variable data are best described as which of the following?

Attribute Data, Variable Data

a) Counted values, Measured values

b) Counted values, Visual features

b) Measured values, Counted values

d) Visual features, Counted values

Answer #1

Attribute data focuses on numbers, variable data focuses on measurements. Therefore

Attribute data describes counted values and variable data describes measured values.

Thus, option **a)** is correct.

For Knowledge Purpose:

There are two types of attributes data

- Yes/ No data
- Counting data

Examples of counting data:

- number of mistakes in picking
- number of items shipped incorrectly
- number of accidents for delivery trucks

Some examples of variables data :

contact time with a customer, sales dollars, amount of time to make a delivery, height, weight, and costs.

(1 point) Suppose a random variable ? is best described by a
uniform probability distribution with range 1 to 4. Find the value
of ?a that makes the following probability statements true.
(a) ?(?≤?)=0.26
?=
(b) ?(?<?)=0.95
?=
(c) ?(?≥?)=0.65
?=
(d) ?(?>?)=0.25
?=
(e) ?(1.49≤?≤?)=0.06
a=

5. Suppose x is a random variable best described by a uniform
probability distribution with C=30 and D=110 Find P(X > 94)
6. Suppose x is a random variable best described by a uniform
probability distribution with C=40 and D=100 Find P(X < 88)
7. Suppose x is a uniform random variable with c = 30 and d =
110. Find P(x < 46).
11. High temperatures in a certain city for the month of August
follow a uniform distribution...

The regression effect is best described as
Question 4 options:
A)
A condition in which the predicted Y values will be closer to
the mean for Y, than the X values will be to the mean for X.
B)
A condition in which the X values will be closer to the mean for
X, than the Y values will be to the mean for Y.
C)
A study originally done by Galton which found sons on average
are taller than...

(1 point) Suppose a random variable ?x is best described by a
uniform probability distribution with range 11 to 44. Find the
value of ?a that makes the following probability statements
true.
(a) ?(?≤?)=0.26
?=
(b) ?(?<?)=0.95
?=
(c) ?(?≥?)=0.65
?=
(d) ?(?>?)=0.25
?=
(e) ?(1.49≤?≤?)=0.06
a=

In regard to data mining, regression analysis is best
described as:
a.
sequentially dividing data into same-type sub-groups
b.
conducting detailed customer focus groups
c.
building equations that predict a situation's outcome
d.
considering how sales of different products are related
e.
identifying data groups based on similar attributes

Which of the following directions for strategic efforts would be
best described in a situation with many internal strengths and many
external opportunities?
Turnaround
Aggressive
Defensive
Diversification

Which of the following defines a categorical variable?
A variable that takes numerical values that measure some
characteristic of each individual, like height in centimeters or
salary in dollars per year.
Any characteristic of an individual. A variable can take
different values for different individuals.
A variable that places each individual into a category.
Object described by a set of data. Individuals may be people,
but they may also be animals or things.

Which one of the following is an attribute that represents the
accounting profession under the market control view?
A. Service ideal
B. The well-being of society
C. Enlightened self-interest
D. Membership exclusivity

1. Which of the following is NOT a type of data
anomaly?
a. Insertion
b. Transformation
c. Deletion
d. Modification
2. Functional dependency has the following
characteristics EXCEPT
a. Attribute Y is functionally dependent upon attribute X, if
the value of X uniquely determines the value of Y
b. It's a constraint between two tables
c. It's a constraint between two attributes (columns)
d. Represented as Determinant(s) -> Dependent(s)
3. The definition of a partial dependency
is
a.One or more...

Cognitive dissonance is best described as:
a.
Customers thinking about which product is best for them
b.
A customer's thought process that eliminates the second choice
products
c.
The customer's last thoughts just before they purchase a
product
d.
A customer's second thoughts about a product they have just
bought
e.
Customer's complaint behaviour when the product they just bought
doesn't work

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