Is what is an inequality your question? An inequality is basically expressions that use the "greater than", "less than", "greater than or equal to", or "less than or equal to" symbols. A.K.A these: > < ≥ ≤
Answer: Noah is right. If the mean for the second lake is 60ft and the first lake is 45ft, the second lake has an average depth that is 15 feet deeper.
The standard deviations also indicate that the second lake has some even deeper spots, and even the shallower spots of the second lake are about the same as the shallow spots of the first lake.
Step-by-step explanation:
The Tampa Tribune expecting to add 700 new pictures per year to their database in 2041
<h3>The linear equation of the graph</h3>
The equation of the line of best fit is given as:

When the number of pictures added is 700, we have:
y = 700
Substitute 700 for y in 

Subtract 367 from both sides of the equation

Rewrite the above equation as:

Divide both sides by 8

Remove decimal (do not approximate)

This means that:


Hence, the Tampa Tribune expecting to add 700 new pictures per year to their database in 2041
Read more about linear regression at:
brainly.com/question/26137159
Answer:
A.The mean would increase.
Step-by-step explanation:
Outliers are numerical values in a data set that are very different from the other values. These values are either too large or too small compared to the others.
Presence of outliers effect the measures of central tendency.
The measures of central tendency are mean, median and mode.
The mean of a data set is a a single numerical value that describes the data set. The median is a numerical values that is the mid-value of the data set. The mode of a data set is the value with the highest frequency.
Effect of outliers on mean, median and mode:
- Mean: If the outlier is a very large value then the mean of the data increases and if it is a small value then the mean decreases.
- Median: The presence of outliers in a data set has a very mild effect on the median of the data.
- Mode: The presence of outliers does not have any effect on the mode.
The mean of the test scores without the outlier is:

*Here <em>n</em> is the number of observations.
So, with the outlier the mean is 86 and without the outlier the mean is 86.9333.
The mean increased.
Since the median cannot be computed without the actual data, no conclusion can be drawn about the median.
Conclusion:
After removing the outlier value of 72 the mean of the test scores increased from 86 to 86.9333.
Thus, the the truer statement will be that when the outlier is removed the mean of the data set increases.
Answer:

Step-by-step explanation:
tan(30°) = 
cot(30°) = 
sin(60°) = 
