Answer:
I expect this to be LI.
Step-by-step explanation:
35 x .95 = 33.25. 33.25 is how much off it was, so now you subtract that number by 35 and get 1.75. Melissa bought the item for $1.75
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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If you mean 'she' wants to buy 2/4 of the candy bars at the store and there are 12 candy bars in the store then:
2/4 is the same as 1/2
Half of 12? 6
She would buy 6 candy bars.
Answer:
She needs 64 ounces of flour.
Step-by-step explanation:
If she needs 4 pounds and it is in ounces you would multiply 16 and 4 which gives you 64 ounces
