Answer:
c- the right triangle altitude theorem
Step-by-step explanation:
i did it on edge! ; )
The number is 442 which is obtained after decreasing 520 by 15% the answer is 442.
It's the ratio of two integers stated as a fraction of a hundred parts. It is a metric for comparing two sets of data, and it is expressed as a percentage using the percent symbol.
Let x be the number that is obtained after decreasing 520 by 15%
= (100 - 15)% of 520
= 85% of 520
= 0.85×520
= 442
Thus, the number is 442 which is obtained after decreasing 520 by 15% the answer is 442.
Learn more about the percentage here:
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Answer:
442
Step-by-step explanation:
If you want to decrease 520 by 15%, you have to multiply 15% by 520 first, which is 78. Next, you have to minus 78 from 520. Now you get 442!
Answer:
$8.60 I don't know what SLSO means
Step-by-step explanation:
Answer:
0.6
Step-by-step explanation:
12/20 = 6/10 = 0.6
Answer:
2, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16 and anything else after 16
Step-by-step explanation:
Answer:
The 95% confidence interval for the true mean speed of thunderstorms is [10.712, 13.688].
Step-by-step explanation:
Given information:
Sample size = 10
Sample mean = 12.2 mph
Standard deviation = 2.4
Confidence interval = 95%
At confidence interval 95% then z-score is 1.96.
The 95% confidence interval for the true mean speed of thunderstorms is
Where, is sample mean, z* is z score at 95% confidence interval, s is standard deviation of sample and n is sample size.
Therefore the 95% confidence interval for the true mean speed of thunderstorms is [10.712, 13.688].
Answer:
The density curve is symmetric and bell‑shaped.
The normal distribution is a continuous distribution.
Approximately 32% of values fall more than one standard deviation from the mean.
Step-by-step explanation:
Lets take a look at each statement.
The density curve is symmetric and bell‑shaped.
True.
The normal distribution is a continuous distribution.
True, the value of the measure can be a decimal number, like 10.5, for example.
The normal distribution is a discrete distribution.
False. Either the distribution is continuous, or it is discrete. In this case, it is continuous.
The density curve is a flat line extending from the minimum value to the maximum value.
False. This statements describes the uniform probability distribution.
Approximately 32% of values fall more than one standard deviation from the mean.
True. 68% are within 1 standard deviation of the mean and 32% are more than one standard deviation from the mean.
Two parameters define a normal distribution—the median and the range.
False. It is the mean and the standard deviation.