Answer:
An inference without a measure of reliability is nothing but a guess. The measure of reliability separates the science of statistics from the art of story telling. It gives a statistician a level of confidence that an inference made can to a reasonable extent be trusted
Step-by-step explanation:
Answer:
what's is the he question
Step-by-step explanation:
?
Answer:
You did the same on both exams.
Step-by-step explanation:
To compare both the scores, we need to compute the z scores of both the exams and then compare the values. The formula for z-score is:
<u>Z = (X - μ)/σ</u>
Where X = score obtained
μ = mean score
σ = standard deviation
For Exam 1:
Z = (95 - 79)/8
= 16/8
<u>Z = 2</u>
For Exam 2:
Z = (90 - 60)/15
= 30/15
<u>Z = 2</u>
<u>The z-scores for both the tests are same hence the third option is correct i.e. </u><u>you did the same on both exams.</u>
Answer:
which agrees with answer B
Step-by-step explanation:
First write the equation that represents this type of variation:
then we need to solve for "x" when y = 10 as shown below:
Answer:
d
Step-by-step explanation:
