Answer:
4.Jim is standing beside a pool. He drips a weight from 4 feet above the surface of the water in the pool. The weight travels a total distance of 12 feet down before landing on the bottom of the pool. Explain how you can write a sum of integers to find the depth of water.
Step-by-step explanation:
Like my teacher used to say, always pick the sentence that is longer, look closely, read it over twice, then your mistakes will fufill, so I'm thinking its 4. Have a great day chiles.
Answer:
Step-by-step explanation:
We have the standard deviation for the sample, so we use the t-distribution to solve this question.
The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So
df = 20 - 1 = 19
99% confidence interval
Now, we have to find a value of T, which is found looking at the t table, with 19 degrees of freedom(y-axis) and a confidence level of 
. So we have T = 2.861.
The margin of error is:
In which s is the standard deviation of the sample and n is the size of the sample.
The format of the confidence interval is:
In which 
is the sample mean
So
Answer:
1.25 in a fraction= 5/4
2.5 in a fraction= 5/2
Step-by-step explanation:
i used a calculator
The equation is y= 1/2x + 2. Or y=2/4 + 8/4
The standard deviation is the mean of the sum of the squared deviations between each observation and the mean. The measure of dispersion that is the easiest to compute is the interquartile range.
The standard deviation is a statistic that expresses how much variance or dispersion there is in a group of numbers. While a high standard deviation implies that the values are dispersed over a wider range, a low standard deviation shows that the values tend to be close to the mean of the collection.
The term "standard deviation" (or "") refers to a measurement of the data's dispersion from the mean. A low standard deviation implies that the data are grouped around the mean, whereas a large standard deviation shows that the data are more dispersed.
Learn more about standard deviation here
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