Find the equation of the line that contains the point (4, - 2) and is perpendicular to the line y = - 2x + 5.
2 answers:
<h3>Answer:</h3>
y=1/2x
<h3>Solution:</h3>- The slopes of perpendicular lines are opposite reciprocals of each other.
- The simplest way to determine a number's reciprocal is to flip it over, like so:
- Now, change the sign:
- So we have the <em>slope </em>of the line that's <em>perpendicular </em>to the given line.
- Now, let's find the line's equation.
- First, let's write it in Point-Slope Form:
- y-y1=m(x-x1)
- y-(-2)=1/2(x-4)
- y+2=1/2x-2 (Point slope)
- Now, convert to slope-intercept:
- y=1/2x+2-2
- y=1/2x
Hope it helps.
Do comment if you have any query.
You might be interested in
Answer:
a) The point estimate of the proportion of people aged 65–69 who are working is p=0.3 or 30%.
b) We can express this null and alternative hypothesis as:
c) We conclude that there is not enough evidence that the proportion of people aged 65–69 who are working has increased from 2005.
Step-by-step explanation:
a) Develop a point estimate of the proportion of people aged 65–69 who are working
If we take into account the sample taken, the point estimate is
b) Set up a hypothesis test so that the rejection of h0 will allow you to conclude that theproportion of people aged 65–69 working has increased from 2005
To conclude some claim, we have to reject the null hypothesis. In this case, to claim that the proportion has changed and the mean is no longer 27%, we have to reject the null hypotesis that π=0.27.
We can express this null and alternative hypothesis as:
c) Conduct your hypothesis test using α=0.05. What is your conclusion?
First we calculate the standard deviation, as we will need it to calculate the test statistic:
In this case, we have a test statistic of
If we take into account that it is a two-tailed test, P-value for z=1.61 is P=0.1074.
As the P-value is bigger than the significance level, the effect is not statistically significant, so the hypothesis can not be rejected.
We conclude that there is not enough evidence that the proportion of people aged 65–69 who are working has increased from 2005.
