Answer:
SA = 52 square meters
Step-by-step explanation:
<em>First, the equation I'll be using for this problem is</em><em> SA=2(wl+hl+hw)</em><em>! Our </em><em>width is 4m, </em><em>our </em><em>length is 3m</em><em>, and our </em><em>height is 2m</em><em>. To begin to solve this problem we are going to input these values in to the equation above.</em>
SA = 2(4 × 3 + 2 × 3 + 2 × 4)
<em>Next, we are going to multiply our values inside the parenthesis based on the </em><em>PEMDAS</em><em> </em><em>strategy</em><em> (if you have any questions about this, feel free to ask below :).</em>
SA = 2(12 + 6 + 8)
<em>Now, we can add our values inside the parenthesis.</em>
SA = 2(26)
<em>Finally, all we have to do is distribute the 2 outside of the parenthesis to inside the parenthesis.</em>
SA = 52 square meters
<em />
Hope this Helps! :)
<em>Have any questions? Ask below in the comments and I will try my best to answer.
</em>
-SGO
None of these couples are solutions, (11, 3)(11, 3); (−1, −6)(−1, −6); (−3, 3)(−3, 3); <span>(7, 0). Perhaps the choice of answer are insufficient. we can add (1, 48) the couple (7, 0) and (7, 0)(1, 48) is a true answer, why? because it verifies the equation.</span>
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.
Learn more about probability distribution here:
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Answer: x = 38.46
Step-by-step explanation:
tan(20) = 14/x
xtan(20) = 14
x = 14/tan(20)
x = 38.46
Answer:
(-2.5, -4.5)
Step-by-step explanation:
