Answer:
Now we can calculate the p value based on the alternative hypothesis with this probability:
The p value is very low compared to the significance level of then we can reject the null hypothesis and we can conclude that the true proportion of people liberal is higher than 0.24
Step-by-step explanation:
Information given
n=200 represent the random sample taken
X=75 represent the number of people Liberal
estimated proportion of people liberal
is the value that we want to test
z would represent the statistic
represent the p value
Hypothesis to test
We want to verify if the true proportion of adults liberal is higher than 0.24:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Replacing the info given we got:
Now we can calculate the p value based on the alternative hypothesis with this probability:
The p value is very low compared to the significance level of then we can reject the null hypothesis and we can conclude that the true proportion of people liberal is higher than 0.24
The most simplified version would be:
There are
such strings, provided that the ordering of the bits doesn't matter.
Answer:
D) None of the above
Step-by-step explanation:
This is because all of the shapes above are examples of 3D shapes. A 3D shape would have the dimensions of length and width and height. However a 2D shape would only have the dimensions of length and width.
An example of a 2D shape is a rectangle. as it consists of a length and a width, but does not have a height.
On the other hand a £D shape such as a cube would have a length, width and a height.