Answer:
Normal; increases.
Step-by-step explanation:
In Statistics and probability, a student t-distribution also known as the t-distribution refers to the continuous probability distribution which can be used to estimate population parameters when the population variance or standard deviation is not known (unknown) and the sample population is relatively small. The student t-distribution is a statistical distribution which was published in 1908 by William Sealy Gosset.
The t-distribution approaches the normal distribution as the sample size increases because the parameters becomes negligibly smaller.
This ultimately implies that, when the degree of freedom of a t-distribution curve is increased in comparison with that of a normal distribution, the value of probability becomes significantly similar.
Answer:
C
Step-by-step explanation:
The easiest way to determine this is to realize that time is the independent variable (n) and temperature is the dependent variable (a).
From the table, we can plug in the two points (n) into n of each equation and see if that equals the temperature values (a).
<em>A little thinking would get us to plug the numbers in C first.</em>
<em>
</em>
<em>Works!!</em>
<em>Now, second number:</em>
<em>
</em>
<em>Works!!</em>
<em />
<em>Hence, C is the correct answer.</em>
Answer:
all the statements are true
Step-by-step explanation:
The acute triangle is the triangle in which all the angles are less than 90°
While on the other hand, the equilateral triangle is the triangle in which all the angles are of 60° so this also makes the acute triangle
Given that
p = Acute triangle
q = equilateral triangle
Based on the above explanation
The conditions are as follows
p ∨ q is true, the ∨ refers “or” condition, so if any of either statement is true then the statement is true
p ∧ q is also true, the ∧ refers that both the statements should be true.
The arrows on the left and right indicate "implies," and that is true if and only if the p is false or q is true. Both p and q are valid for both the right and the left arrows
The last means equal and is valid if both p and q are the same as they are, so that is true too.
Hence, all the statements are true
Answer:
p(x=0)=0.000008
p(x=1)=0.00176
p(x=2)=0.0576
P(x=3)=0.941192
Step-by-step explanation:
The probability of successfully classifying any given part is 0.98. There are 3 parts in total and the classifications are independent. The random variable is the number correctly classified parts out of the total 3.
{0,1,2,3,}
