So to solve for y, we need to get y alone on one side of the equation. So we are going to subtract 9x from both sides of the equation to get:
And since y is negative, we are going to divide both sides by -1 in order to make the y positive:
Answer: 1.07
Step-by-step explanation: multiply the percentage. for ex: 17.75 X .06 = 1.065
Answer:
Step-by-step explanation:
<u>Use ratios:</u>
- 7.5 mots / 37.5 parlings = 13 mots / x parlings
- x = 13*37.5/7.5
- x = 65
Answer:
At least 202.44 mm in the top 15%.
Step-by-step explanation:
When the distribution is normal, we use the z-score formula.
In a set with mean 
and standard deviation 
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question, we have that:
How many yearly mm of rainfall would there be in the top 15%?
At least X mm.
X is the 100-15 = 85th percentile, which is X when Z has a pvalue of 0.85. So X when Z = 1.037.
At least 202.44 mm in the top 15%.
Answer: The statements that describe a normal distribution are;
a. The density curve is symmetric and bell-shaped.
b. The normal distribution is a continuous distribution.
Step-by-step explanation: The normal distribution is the most commonly used and important statistic tool. It is referred to as the "Bell Curve" because of its bell-shape and the the fact that it is symmetric density curve. A continuous distribution defines the possibilities of a continuous random variable and a prime example of a continuous distribution is the Normal distribution.
The normal distribution is not a discrete distribution because it does not have discrete variables. The normal distribution is not a flat line that extends from a minimum to a maximum but it is a continuous distribution that extends in a bell shape from one minimum value going up to a maximum value before descending back to another minimum value.
68% of a normal distribution curve falls with one standard deviation from the mean not 32%.
The two parameters that define a normal distribution is the mean and the standard deviation.
