STATE: In recent years, a number of new commercial online services have emerged that have altered some aspects of people’s lives. Of these, ride‑hailing apps provide a good example of this new on‑demand economy. A Pew Internet survey in 2016 examined several demographic variables of users of ride‑hailing apps such as Uber or Lyft, including education, age, race, and income. Of the 4787 adults included in the survey, 2369 were college graduates, of which 687 had used a ride‑hailing app. Among the 2418 adults who had not completed college, 268 has used a ride‑hailing app. Is there good evidence that the proportion of adults who have used a ride‑hailing app is different between college graduates and those without college degrees?

We conclude that the proportion of adults who have used a ride‑hailing app is different between college graduates and those without college degrees.

Step-by-step explanation:

We are given that of the 4787 adults included in the survey, 2369 were college graduates, of which 687 had used a ride‑hailing app.

Among the 2418 adults who had not completed college, 268 has used a ride‑hailing app.

Let = proportion of college graduates who have used a ride‑hailing app.

= proportion of without college graduates who have used a ride‑hailing app.

So, Null Hypothesis, : = 0     {means that the proportion of adults who have used a ride‑hailing app is same between college graduates and those without college degrees}

Alternate Hypothesis, : 0     {means that the proportion of adults who have used a ride‑hailing app is different between college graduates and those without college degrees}

The test statistics that would be used here Two-sample z proportion statistics;

                       T.S. =  ~ N(0,1)

where, = sample proportion of college graduates using a ride‑hailing app = = 0.29

= sample proportion of without college graduates using a ride‑hailing app = = 0.11

= sample of college graduates = 2369

= sample of without college graduates = 2418

So, test statistics  =    

                               =  15.95

The value of t test statistics is 15.95.

Since, in the question we are not given with the level of significance so we assume it to be 5%. Now, at 5% significance level the z table gives critical values of -1.96 and 1.96 for two-tailed test.

Since, our test statistics does not lie within the range of critical values of z, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which we reject our null hypothesis.

Therefore, we conclude that the proportion of adults who have used a ride‑hailing app is different between college graduates and those without college degrees.

step-by-step explanation:

we are given a graph for system of inequalities.

in order to write the system of inequalities for the given graph, we need to find the inequality for each of the line separately.

let us find the slope of dotted line first.

taking two coordinates on the graph.

let us say (0,0) and (3,1).

let us find the slope of the line now.

slope of the dotted line would be =.

y-intercept of dotted line is y=0 only.

plugging slope m= and b=0 in slope-intercept form y=mx+b, we get

.

the line is shaded up of that dotted line.

therefore, for shading up we would take greater than inequality symbol > .

and because it's a dotted line we would take only > symbol in place of = sign in above equation of line.

therefore, inequality for dotted line would be

let us take two points (3,1) and (0,4) on the solid line.

slope of the solid line would be =.

for the solid line we have y-intercept b= 4.

plugging slope m= -1 and b=4 in slope-intercept form y=mx+b, we get

y = -1x + 4.

the line is shaded down of that solid line.

therefore, for shading down we would take less than inequality symbol < .

and because it's a solid line we would take ≤ symbol in place of = sign in above equation of line.

therefore, inequality for solid line would be