To do this problem, add up all the numbers and divide by the amount of numbers:
1.01+1.03+.98+.99+1.01+1.02+.98+1.05+.97+.98
10.02
Now divide by 10 (the amount of samples)
10.02/10
1.002
The Mean of the Data Set is 1.002
Hope this helps!
Answer:
Hi bub. Thanks for the points lol.
:D
Step-by-step explanation:
Answer:
84.13% probability a particular tire of this brand will last longer than 57,100 miles
Step-by-step explanation:
When the distribution is normal, we use the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question, we have that:

What is the probability a particular tire of this brand will last longer than 57,100 miles
This is 1 subtracted by the pvalue of Z when X = 57100. So



has a pvalue of 0.1587
1 - 0.1587 = 0.8413
84.13% probability a particular tire of this brand will last longer than 57,100 miles
64/8=8
The answer is 8 band members in each row