Answer:
0.625
Step-by-step explanation:
15 divided by 24 which equals 0.625
b) To estimate the mean salary of professors at her university, Patricia collects data by recording the salaries of all professors included in 12 randomly selected departments.
c) Elizabeth wants to estimate the mean height of students at her school. She collects data by selecting a random group of students within her classroom.
d) To estimate the mean grade point average of students at her school, Annie collects data by recording the grade point average of every 25th student on the list of students after randomly selecting first student.
Answer:
(C) Elizabeth wants to estimate the mean height of students at her school. She collects data by selecting a random group of students within her classroom.
Step-by-step explanation:
In option C, the sample is an example of convenience sampling, It is not representative of the population of student being studied.
Convenience sampling is a type of non-probability sampling method in which the sample is taken from the part of the population easy to reach.
The sample are not chosen at random thereby undermining the ability to generalize the results from the sample to the entire population under study.
Answer:
-60.
Step-by-step explanation:
Let the unknown number be x.
Number is increased by 26 = x+26
Then result is tripled = 3(x+26)
Then the result is increased by 72 = 3(x+26)+72
Final result is of the number =
Isolate variable terms.
Multiply both sides by 2.
Divide both sides by 5.
Therefore, the required number is -60.
kilometers high is Niagara Falls?
Answer:
0.056 kilometers
Step-by-step explanation:
second-gradeWe are given the following data set:
We can calculate the mean of this data set, by adding all the terms and dividing by the number of terms, that is 10:
Since the mean is 48 this means that the typical second grade student is 48 inches tall. the right answer would be D.
Answer:
There is a 3.7% probability that they both will like it.
Step-by-step explanation:
We can solve this problem using the Bayes rule derivation from conditional probability.
Bayes rule:
What is the probability of B, given that A?
In this problem, we have that:
is the probability that Ralph likes the movie, given that Melissa likes. The problem states that this is 10%. So
is the probability that Melissa likes the movie. The problem states that
.
If they randomly select a movie from a video store, what is the probability that they both will like it?
This is .
There is a 3.7% probability that they both will like it.
If you doubled every measurement in this dataset (e.g., 106, 94, 102, ...), what would the new IQR equal? (Think about the SD too!)
Answer:
The new IQR is 22.
Step-by-step explanation:
We are given the following data of length (in mm) of 12 soybean plants after 3 days of sprouting.
53, 47, 51, 54, 43, 39, 61, 57, 55, 46, 44, 43
Sorted data:
39, 43, 43, 44, 46, 47, 51, 53, 54, 55, 57, 61
Formula:
IQR =
If every measurement is doubled, then, the IQR will also double itself.
Thus,
New IQR =
Thus, the new IQR is 22.