Answer:
Population Distribution: The population is the whole set of values, or individuals, you are interested in. For example, if you want to know the average height of the residents of India, that is your population, ie, the population of India.
Population characteristic are mean (μ), Standard deviation (σ) , proportion (P) , median, percentiles etc. The value of a population characteristic is fixed. This characteristics are called population distribution. They are symbolized by Greek characters as they are population parameters.
Sample Distribution: The sample is a subset of the population, and is the set of values you actually use in your estimation. Let’s think 1000 individual you have selected for your study to know about average height of the residents of India. This sample has some quantity computed from values e.g. mean (x ), Standard deviation (s) , sample proportion etc. This is called sample distribution. The mean and standard deviation are symbolized by Roman characters as they are sample statistics.
Answer: <span>C) The slope of the line of best fit would increase because the point lies below the original line of best fit.
The line of best fit is a line that best represents the data in a scatterplot. When you draw a line of best fit, you want it to roughly "balance out" the points above and below it on the scatter plot, making sure the points are distributed evenly.
It's easiest to visualize what a point above or beneath the graph would do. A point underneath that line would be "pulling the line down," so it would be decreasing the slope (making the line more horizontal). A point above the line would be "pulling the line up," so it would be increasing the slope.
1) Figure out where (15, 7) is in relation to the line of best fit. Plug x=15 into </span><span>y = 0.5x + 1.5 to find where the line is when x=15:
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That means (15, 7) is under the line, since y=7 at x=15 for the point, but y=9 for the graph.
2) Since (15, 7) is under the line, you can imagine it to be "pulling the line of best fit down" and decreasing the slope. If it's removed then the line would become steeper (aka larger slope), making c the answer.
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Answer: C) The slope of the line of best fit would increase because the point lies below the original line of best fit. </span>
3.84.............................................
Answer:
x = 8.66
Step-by-step explanation:
Apply pythagorean theorem to find the value of x.
Thus:
x² = 14² - 11²
x² = 75
x = √75
x = 8.66025404
x = 8.66 (nearest hundredth)