Create a histogram for the data set. Click and drag on the horizontal axis to adjust the bar heights.
2 answers:
TO create a histogram of this data you will create a frequency table with intervals of numbers. Each interval of numbers must have the same amount of numbers represented.
Then use the intervals as your labels on the x-axis. Graph a bar as high as the frequency for each interval and make sure it touches the next bar.
Please see attached picture.
Then use the intervals as your labels on the x-axis. Graph a bar as high as the frequency for each interval and make sure it touches the next bar.
Please see attached picture.
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Answer:
The mean is 15.93 ounces and the standard deviation is 0.29 ounces.
Step-by-step explanation:
Problems of normally distributed samples are 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.
7% of the bottles containing this soft drink there are less than 15.5 ounces
This means that when X = 15.5, Z has a pvalue of 0.07. So when X = 15.5, Z = -1.475.
10% of them there are more than 16.3 ounces.
This means that when X = 16.3, Z has a pvalue of 1-0.1 = 0.9. So when X = 16.3, Z = 1.28.
From above
So
The mean is
The mean is 15.93 ounces and the standard deviation is 0.29 ounces.