Can someone please help me understand slop? I don’t get it at all! Please please help will mark brainliest. No links, I will rep
2 answers:
Of course I can! So when we are given a line, all you have to do it find the INTERCEPT along the y-axis and then find the rate at which it goes up or down. Now this is just for linear. Their is also exponential and quadratic when you get to that level. In linear, we go up at a constant rate. Same with quadratic. But exponential doesn't increase in equal increments.
If we look at the image attached, you can see that the line intercepts the y axis at (0,7), and to find the actual slope of the line, we do rise over run. So we do the change in y over the change in x. So for the example provided, we go up 1 and then run 4. So the slope of this line is 1/4. And when we use slope-intercept form, y=mx+b. After the slope, we put an x. You were most-likely taught in school to use slope-intercept form when graphing a line.
So our slope of the example is 1/4 and our y-intercept is 7.
So our equation is
y=1/4x+7
I hope that this was able to help you! :)
If you need more help, consider Khan Academy or tutoring with your teacher!
Also, the Desmos Graphing Calculator is a great resource for graphing lines!
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Answer:
n = 66.564
Step-by-step explanation:
- Because the population is unknown, we will apply the following formula to find the sample size:
Where:
z = confidence level score.
S = standard deviation.
E = error range.
2. We will find each of these three data and replace them in the formula.
"z" theoretically is a value that measures how many standard deviations an element has to the mean. For each confidence level there is an associated z value. In the question, this level is 99%, which is equivalent to a z value of 2.58. To find this figure it is not necessary to follow any mathematical procedure, it is enough to make use of a z-score table, which shows the values for any confidence interval.
The standard deviation is already provided by the question, it is S = 100.
Finally, "E" is the acceptable limit of sampling error. In the example, we can find this data. Let us note that in the end it says that the director wishes to estimate the mean number of admissions to within 1 admission, this means that she is willing to tolerate a miscalculation of just 1 admission.
Once this data is identified, we replace in the formula:
3. The corresponding mathematical operations are developed:
n= 66.564