Which is the best description for the lines i and k?
1 answer:
You might be interested in
Answer:
see explanation
Step-by-step explanation:
the equation of a line in slope- intercept form is
y = mx + c ( m is the slope and c the y-intercept )
• If m > 0, then the line slopes upwards from left to right ( increases )
• If m < 0, then the line slopes downwards from left to right ( decreases )
(a)
y + x = 3 ( subtract x from both sides )
y = - x + 3 ← in slope-intercept form
with m = - 1 ⇒ decreasing from left to right
(c)
y = 4x + 8 ← is in slope-intercept form
with m = 4 ⇒ increasing from left to right
the equation of a line in the form x = c represents a vertical line, where c is the value of the x-coordinates the line passes through
(b)
x - 5 = 0 ( add 5 to both sides )
x = 5 ← is a vertical line
the equation of a line in the form y = c represents a horizontal line, where c is the value of the y-coordinates the line passes through
(d)
= - 6 ( multiply both sides by 4 )
y = - 24 ← is a horizontal line
Answer:
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be:
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".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Solution to the problem
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be: