The level of precision is given by the number of decimal places.
1.45 has a precision of 2 ( two decimal digits)
.0034 has a precision of 4 ( 4 decimal digits)
Numbers that end in zeros have negative precision:
100: has a precision of -2 ( 2 zeros)
15 : Whole numbers has precision 0.
From most precise to least precise:
.0034 - 1.45- 15 - 100
Answer:
We fail to reject the null hypothesis at 0.05 significance level. We cannot say that less than 12% of trips include a theme park visit.
Step-by-step explanation:
let p be the proportion of trips included a visit to a theme park.
: p=0.12
: p<0.12
To test, we need to calculate test statistic of the sample proportion as:
z=
where
- p(s) is the sample proportion of trips included visit to a theme park (

- p is the proportion assumed under null hypothesis. (0.12)
- N is the sample size (1565)
Using the numbers, z=
= −0.767 and p(z) is ≈0.222
Since 0.222 > 0.05 we fail to reject the null hypothesis.
i think its ZN=2K
im not sure so please recheck it with someone else
Answer:

Step-by-step explanation:
We want to find the slope-intercept form of the equation that passes through the point (-2, 3) and is perpendicular to the line:

Note that this line has a slope of 1/4.
Recall that the slopes of perpendicular lines are negative reciprocals of each other.
Since the slope of our old line is 1/4, the slope of its perpendicular line must be -4.
We are also given that it passes through the point (-2, 3). So, we can consider using point-slope form:

Let (-2, 3) be (<em>x₁, y₁</em>) and substitute -4 for the slope <em>m</em>. Hence:

Convert into slope-intercept form. Simplify:

In conclusion, the perpendicular line that passes through the point (-2, 3) is given by:
