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tatyana61 [14]
3 years ago
5

Classify the following random variables as discrete or continuous:

Mathematics
1 answer:
Bogdan [553]3 years ago
3 0

Answer:

a. Discrete

b. Continuous

c. Continuous

d. Discrete

e. Discrete

f. Continuous

Step-by-step explanation:

The difference between discrete variable and continuous variable is that discrete variable can take a value in the form of whole numbers while continuous variable can take any form of value whole numbers or a fractions.

In other words when the values of variable can be counted then it is a discrete variable and when the values of variable can be measured then it is a continuous variable .

a.

Variable X consists of number of automobile accidents which can be counted. So, it is a discrete variable.

b.

Variable Y consists of length of time which can't  be counted but can be measured. So, it is a continuous variable.

c.

Variable M consists of amount of milk produced which can't  be counted but can be measured. So, it is a continuous variable.

d.

Variable N consists of number of eggs laid which can be counted. So, it is a discrete variable.

e.

Variable P consists of number of buildings permit issued which can be counted. So, it is a discrete variable.

f.

Variable Q consists of weight of grain which can't  be counted but can be measured. So, it is a continuous variable.

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When we test Upper H 0​: muequals0 against Upper H Subscript a​: mugreater than​0, we get a​ P-value of 0.03. a. What would the
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Answer:

(a) The null hypothesis will be rejected.

(b) Type I error

(c) The null hypothesis will not be rejected. The error is type II error.

Step-by-step explanation:

The hypothesis provided is:

H_{0}: \mu = 0\\ H_{a} : \mu > 0

The p-value of the test obtained is 0.03

(a)

Decision rule for hypothesis testing, based on p-value, states that if the p-value is less than the significance level (α) then the null hypothesis is rejected and vice versa.

The significance level is α = 0.10

Then,

p-value = 0.03 < \alpha  = 0.10

Thus, the null hypothesis will be rejected.

Conclusion:

The null hypothesis is rejected stating that the value of μ is more than 0.

(b)

If the decision in​ (a) is an​ error, i.e. the null hypothesis is rejected when in fact it is true, this type of error is known as type I error.

(c)

The significance level is α = 0.01

Then,

p-value = 0.03 > \alpha  = 0.01

Thus, the null hypothesis will not be rejected.

Conclusion:

The null hypothesis was not rejected stating that the value of μ is 0.

If this decision is an error, i.e. the null hypothesis was not rejected when in fact it is false, this type of error is known as type II error.

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Answer:

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We want to determine the angle of elevation from the point Vera is standing to the top of the flagpole, which is the angle at V in the diagram.

In Triangle XVY

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