Birth Weights (Example 7) According to the British Medical Journal, the distribution of weights of newborn babies is approximately Normal, with a mean of 3390 grams and a standard deviation of 550 grams. Use a technology or a table to answer these questions. For each include an appropriately labeled and shaded Normal curve. a. What is the probability at newborn baby will weigh more than 4000 grams? b. What percentage of newborn babies weigh between 3000 and 4000 grams? c. A baby is classified as “low birth weight” if the baby weighs less than 2500 grams at birth. What percentage of newborns would we expect to be “low birth weight”?
Birth Weights (Example 7) According to the British Medical Journal, the distribution of weights of newborn babies is approximately Normal, with a mean of 3390 grams and a standard deviation of 550 grams. Use a technology or a table to answer these questions. For each include an appropriately labeled and shaded Normal curve. a. What is the probability at newborn baby will weigh more than 4000 grams? b. What percentage of newborn babies weigh between 3000 and 4000 grams? c. A baby is classified as “low birth weight” if the baby weighs less than 2500 grams at birth. What percentage of newborns would we expect to be “low birth weight”?
Birth Weights (Example 7) According to the British Medical Journal, the distribution of weights of newborn babies is approximately Normal, with a mean of 3390 grams and a standard deviation of 550 grams. Use a technology or a table to answer these questions. For each include an appropriately labeled and shaded Normal curve.
a. What is the probability at newborn baby will weigh more than 4000 grams?
b. What percentage of newborn babies weigh between 3000 and 4000 grams?
c. A baby is classified as “low birth weight” if the baby weighs less than 2500 grams at birth. What percentage of newborns would we expect to be “low birth weight”?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
a small pond contains eight catfish and six bluegill. If seven fish are caught at random, what is the probability that exactly five catfish have been caught?
23 The line graph in the following figure shows
Revenue ($ millions)
one company's revenues over time. Explain
why this graph is misleading and what you
can do to fix the problem.
700
60-
50-
40
30
Line Graph of Revenue
20-
101
1950
1970
1975 1980 1985
Year
1990
2000
d of the
20
respectively.
Interpret the shape, center and spread of the
following box plot.
14
13
12
11
10
6
T
89
7
9
5.
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Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
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