It is true that the confidence intervals for the mean provide an estimate for where the true mean lies.
In statistics, a confidence interval denotes the likelihood that a population parameter will fall between a set of values for a given proportion of the time. A confidence interval depicts the likelihood that a parameter will fall between two values near the mean. Confidence intervals quantify the degree of uncertainty or certainty in a sampling procedure.
The mean is a basic mathematical average of two or more values. There are two sorts of means that may be calculated: the arithmetic mean and the geometric mean. A mean tells you the average of a bunch of values, which helps you contextualize each data point.
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Ur equation would be y=3/4x-7
<u>1</u><u>2</u><u>3</u><u>4</u><u>5</u><u>5</u><u>6</u><u>7</u><u>7</u><u>7</u><u>8</u><u>9</u><u>9</u><u>9</u><u>0</u><u>0</u><u>0</u><u>0</u><u>0</u><u>0</u><u>0</u><u>oo999900009999999999999</u>
I would say to the 5th degree because that's the highest exponent there but not 100% sure but I'm pretty sure
Sorry I can't help you more but I hope this helps ome
Answer:
a
Step-by-step explanation:
