Answer:
Steps given below and graph is attached.
Step-by-step explanation:
First Step:
Find out by substituting
Second Step:
Find out by substituting
Third Step:
Draw a line passing through .
Graph is attached.
b. What is the approximate percentage of women with platelet counts between and ?
Answer:
(a) Approximately 95% of women with platelet counts within 2 standard deviations of the mean.
(b) Approximately 99.7% of women have platelet counts between 65.2 and 431.8.
Step-by-step explanation:
The complete question is: The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 248.5 and a standard deviation of 61.1. (All units are 1000 cells/mul.) using the empirical rule, find each approximate percentage below.
a. What is the approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 126.3 and 370.7?
b. What is the approximate percentage of women with platelet counts between 65.2 and 431.8?
We are given that the blood platelet counts of a group of women have a bell-shaped distribution with a mean of 248.5 and a standard deviation of 61.1.
Let X = the blood platelet counts of a group of women
The z-score probability distribution for the normal distribution is given by;
Z = ~ N(0,1)
where, = population mean = 248.5
= standard deviation = 61.1
Now, the empirical rule states that;
(a) The approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 126.3 and 370.7 is given by;
As we know that;
P( < X < ) = 0.95
P(248.5 - 2(61.1) < X < 248.5 + 2(61.1)) = 0.95
P(126.3 < X < 370.7) = 0.95
Hence, approximately 95% of women with platelet counts within 2 standard deviations of the mean.
(b) The approximate percentage of women with platelet counts between 65.2 and 431.8 is given by;
Firstly, we will calculate the z-scores for both the counts;
z-score for 65.2 =
= = -3
z-score for 431.8 =
= = 3
This means that approximately 99.7% of women have platelet counts between 65.2 and 431.8.
Using the empirical rule, approximately 68% of values fall within 1 standard deviation from the mean in a bell-shaped distribution. For ranges 2 or 3 standard deviations from the mean, the respective approximate percentages are 95% and 99.7%.
The question refers to the Empirical rule, which in statistics, is also known as the Three-sigma rule or the 68-95-99.7 rule. This rule is a shortcut for remembering the proportion of values in a normal distribution that are within a given distance from the mean: 68% are within 1 standard deviation, 95% are within 2 standard deviations, and 99.7% are within 3 standard deviations.
Without given specific values for the mean or standard deviations, we can discuss the problem in a general sense:
#SPJ3
Answer:
Rational
Step-by-step explanation:
Answer:
Step-by-step explanation:
its written as a ratio of two integers, so its a rational number.
Answer:
9π cm - exact value
28.26 cm - approximate value
Step-by-step explanation:
C = πd =9π cm - exact value
or
C=9π≈ 28.26 cm - approximate value
Answer:
The selections are dependent.
Yes, they can be treated as independent (less than 5% of the population).
Step-by-step explanation:
Since the selections are made without replacement, each selection affects the outcome of the next selection and, therefore, the selections are dependent.
Although they are dependent, the selections can be treated as independent if the sample size is no more than 5% of the total population. In this case, the sample size is 1235 adults out of a population of 15,958,866 adults. The percentage represented by the sample is:
Thus the selections can be treated as independent for the purposes of calculations.
8. (1, 3);2x + y −4, 3x − y ≤ 3
Answer:
4, or it could be 8 but mostly 4
Step-by-step explanation: