Answer:
25.14% probability that his score is at least 582.5.
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:
If 1 of the men is randomly selected, find the probability that his score is at least 582.5.
This is 1 subtracted by the pvalue of Z when X = 582.5. So
has a pvalue of 0.7486
1 - 0.7486 = 0.2514
25.14% probability that his score is at least 582.5.
Answer:
- Range = 1.2 , variance = 10.153, standard deviation = 3.18611.
- No.
Step-by-step explanation:
The foot lengths in inches for 11 randomly selected people taken in 1988. are
First, we need to arrange the given data in ascending order.
1. To find the range<u>,</u> we need to determine the maximum value and the minimum value in the given sample, and to subtract them. The maximum value is 9.7 and the minimum value is 8.5. Therefore,
The variance is given by
where
In this case, . Therefore,
Hence, the variance is
Now, we can calculate the standard deviation.
2. No, this statistics are not representative of the current population of all people, since they are measured for the 1988. population.
U will have to do long division because u have a lot of number so all I did was divide 5 time 12 and 11 time 11
Answer:
Step-by-step explanation:
∠UVP + ∠PVW = ∠UVW
26° + 130° = ∠UVW
∠UVW = 156°