Answer: D) the significance level of the test
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Explanation:
The significance level of the test, also known as "alpha", is the probability of making a type 1 error. A type 1 error is where you reject the null hypothesis but it was true all along.
The null hypothesis is where we test a certain probability distribution (eg: normal distribution). Specifically we gather a sample of values and compute the test statistic. If the probability of getting that test statistic or more extreme is smaller than alpha, then we reject the null. This probability value is known as the p-value.
If you lower the alpha value, then that will make it more likely you do not reject the null. Consider an example where alpha = 0.10 to start with. If you get a p-value of 0.02, then you would reject the null. The same would apply for alpha = 0.05; however, with alpha = 0.01, the p-value is no longer smaller than alpha. At this point we do not reject the null. Your textbook may use the phrasing "fail to reject the null".
Going in the opposite direction, increasing the alpha value will make it more likely to reject the null. Each time you adjust the alpha value, keep the p-value to some fixed number (between 0 and 1).
Answer:
D.
Step-by-step explanation:
<u>Explanation for part 1.</u>
To find the mean, find total then divide by number of data set
For college salaries
Sum=41+67+53+48+45+60+59+55+52+52+50+59+44+49+52=786
Number of samples=15
Mean= 786/15 =52.4 * $1000=$52400
For High school salaries
Sum=23+33+36+29+25+43+42+38+27+25+33+41+29+33+35=492
Number of samples =15
Mean= 492/15 = 32.8 *$1000= $32800
College grads make more money according to the means.
<u>Explanation for part 2.</u>
Treat the data as part of coordinates and graph then on the same scale and axis to visualize the trend and make comparison.In this case, the graph for the line of best fit is linear as attached.
Answer: $300
Step-by-step explanation:
Mr. Calvin earned 
He spent
on food i.e.



Remaining money = 
So, he saved $300 after expenses
Answer:
None of these
Step-by-step explanation:
This polynomial is a quartic (4th degree polynomial), and it is not linear, cubic, or quadratic.
Answer:
(x - 3)^2 + (y + 2)^2 = 2^2.