Heeeeeeeeellpp what is the measure of xwz
1 answer:
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Answer:
And for this case we know this condition:
By the complement rule we know that:
But since the distribution is symmetrical we know that:
So then the statement for this case is FALSE.
b. False
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
For this case if we define the random variable of interest X and we know that this random variable follows a normal distribution:
And for this case we know this condition:
By the complement rule we know that:
But since the distribution is symmetrical we know that:
So then the statement for this case is FALSE.
b. False
Answer:
Sampson gains 3.967 kilograms from November to February.
Step-by-step explanation:
Given:
Actual Weight on November 15 = 2.49 kg
On December 15, he weighed 1020 grams more
Since 1000 grams = 1 kg
Weight on December 15 = 1020 grams = 1.2 kg
Hence Weight gained from November 15 to December 15 = 1.2 kg
On January 15, he had gained another 2200 grams
Weight on January 15 = 2200 grams = 2.2 kg
Hence Weight gained from December 15 to January 15 = 2.2 kg
On February 15, he had only gained 0.567 kilograms.
Weight on February 15 = 0.567 kg
Hence Weight gained from January 15 to February 15 = 2.2 kg
Total weight gained from November to February = Weight gained from November 15 to December 15 + Weight gained from December 15 to January 15 + Weight gained from January 15 to February 15
Total weight gained from November to February =
Hence Sampson gained total weight of 3.967 kg from November to February.