What would the height need to be for this curve to be a density curve?
-1/6
1/6
1/5
1
​

Answer:

One-sixth or 1/6

Step-by-step explanation:

A probability density curve satisfies several rules: It never goes below the horizontal axis, i.e. it's never negative. ... The chance of the quantity falling between a and b is the area under the curve between the point a and b.

The height of density curve is 1/6. Therefore, option B is the correct answer.

In probability theory, a probability density function, or density of a continuous random variable, is a function whose value at any given sample in the sample space can be interpreted as providing a relative likelihood that the value of the random variable would be close to that sample.

A density curve is always on or above the horizontal axis. The area underneath a density curve is exactly 1. The area under a density curve and above any range of values is the relative frequency of all observations that fall in that range.

The curve will never dip below the x ≥ Height>0

Area under the curve=Area of a rectangle with length=height of curve width=6

=Height of curve × 6

Area under the curve = 1

⇒ Height of curve × 6=1

=1/6

The height of density curve is 1/6. Therefore, option B is the correct answer.

To learn more about the density curve visit:

https://brainly.com/question/18345488.

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A wildlife biologist is doing research on chronic wasting disease and its impact on the deer populations in northern Colorado. To estimate the difference between the proportions of deer with chronic wasting disease in two different regions, a random sample of 200 deer was obtained from one region and a random sample of 197 deer was obtained from the other region. The biologist checked for the following.

(200) (0.06) >= 10
(200) (0.94) >=10
(197)(0.086) >=10
(197)(0.914) >= 10

Which of the following conditions for inference was the biologist checking?

a. The population of deer within each region is approximately normal.
b. it is reasonable to generalize from the samples to the populations.
c. The samples are independent of each other.
d. The observations within each sample are close to independent.
e. The sampling distribution of the difference in sample proportions is approximately normal Prisen.

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C. 11 1/8
D. 60%
E. 0.5
F. 2/112
G. 25%
H. 0.25
I. 25

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