PLEASE NEED HELP
2 answers:
Answer:
B
Step-by-step explanation:
1) Firstly let's do the box plots, collecting the data calculating the low quartile and upper quartile, with the help of a software like Google Sheet.
2) Analyzing the first boxplot
A) <u>It's false,</u> More than 50% of the Streamline crank radios are. And Looking at the baseline of the box is the first quartile (25%). So, 25% of hike emergency radios are likely to play way less than 30 minutes.
B) TRUE Notice the topline. That is the upper quartile. The upper quartile of the Secure hike emergency is on 30 minutes line and there is some hike radios able to perform over 30 minutes.
On the other hand, If we could divide the box in the half we'd have the median or the 50% and that it's true they are likely to play 30' or longer.
C) <u>False</u>, more than 25% of the streamline are able to play less than 30 minutes after 30 cranks.
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Answer:
P(X > 25) = 0.69
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using 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.
The sale prices for a particular car are normally distributed with a mean and standard deviation of 26 thousand dollars and 2 thousand dollars, respectively.
This means that
Find P(X>25)
This is 1 subtracted by the pvalue of Z when X = 25. So
has a pvalue of 0.31
1 - 0.31 = 0.69.
So
P(X > 25) = 0.69