Answer:
Yes
Step-by-step explanation:
Statement Reason
ab = bd Given
ac=cd Given
bc = cb definiton of reflex line
triangle abc is congruent to triangle dbc side side side postulate
Answer: 1346cm
Step-by-step explanation:
From the question, we are informed that Reagan has a rectangular bedspread that measures 238 centimeters by 435 centimeters and that he wants to sew a fringe around the edge of the bedspread.
This simply means that we have to find the perimeter of the rectangular bedspread and this will be:
= 2(length + width)
= 2(435 + 238
= 2(673)
= 1346cm
The length of fridge needed by Reegan is 1346cm.
Answer:30
Step-by-step explanation:
Answer:
B. A hill that rises 2 feet for every 15 feet of run.
Step-by-step explanation:
The two must have COPs. We'll narrow them down.
For A, we divide 10 by 2.

For B, we divide 15 by 2.

B has the larger number, so it is B.
Because it accurately depicts the distribution of values for many natural occurrences, it is the most significant probability distribution in statistics.
The most significant probability distribution in statistics for independent, random variables is the normal distribution, sometimes referred to as the Gaussian distribution. In statistical reports, its well-known bell-shaped curve is generally recognized.
The majority of the observations are centered around the middle peak of the normal distribution, which is a continuous probability distribution that is symmetrical around its mean. The probabilities for values that are farther from the mean taper off equally in both directions. Extreme values in the distribution's two tails are likewise rare. Not all symmetrical distributions are normal, even though the normal distribution is symmetrical. The Student's t, Cauchy, and logistic distributions, for instance, are all symmetric.
The normal distribution defines how a variable's values are distributed, just like any probability distribution does. Because it accurately depicts the distribution of values for many natural occurrences, it is the most significant probability distribution in statistics. Normal distributions are widely used to describe characteristics that are the sum of numerous distinct processes. For instance, the normal distribution is observed for heights, blood pressure, measurement error, and IQ scores.
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