Answer:
d = 3c
Step-by-step explanation:
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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Answer:
assuming the squares are 1cm by 1cm
area 7
perimeter 16
Step-by-step explanation:
it just works
Answer:
the number of additional she needed is 135
Step-by-step explanation:
The computation is shown below:
GIven that
40 flowers of 16%
So for 100% it would be
= 40 ×100 ÷ 16
= 250
Now she needs to make is
= 70% - 16%
= 54%
Now the additional would be
= 250 × 54%
= 135
Hence, the number of additional she needed is 135
Answer:
i think linear
Step-by-step explanation:
let me know if this is wrong