Answer:
The answer is below
Step-by-step explanation:
1)
mean (μ) = 12, SD(σ) = 2.3, sample size (n) = 65
Given that the confidence level (c) = 90% = 0.9
α = 1 - c = 0.1
α/2 = 0.05
The z score of α/2 is the same as the z score of 0.45 (0.5 - 0.05) which is equal to 1.65
The margin of error (E) is given as:
The confidence interval = μ ± E = 12 ± 0.47 = (11.53, 12.47)
2)
mean (μ) = 23, SD(σ) = 12, sample size (n) = 45
Given that the confidence level (c) = 88% = 0.88
α = 1 - c = 0.12
α/2 = 0.06
The z score of α/2 is the same as the z score of 0.44 (0.5 - 0.06) which is equal to 1.56
The margin of error (E) is given as:
The confidence interval = μ ± E = 23 ± 2.8 = (22.2, 25.8)
Okay so $14,000 is the equivalent of 6/5ths
so divide $14,000 by 6= $2333.3r
you need 5/5
so $2333.3r x 5 = $11666.67
this is the original price
Answer:
It is the y=intercept
Step-by-step explanation:
Because if there is no x-value and there is a Y-value, y-intercept
Answer:
<u>direction</u>
<u>shape</u>
<u>scatter plots</u>
<u>shape and outliers</u>
Step-by-step explanation:
Correlation is defined as the degree of correspondence between two variables.
When the values increase together, correlation is positive and when one value decreases as the other increases, correlation is negative .
Calculating a correlation can help describe a relation between two quantitative variables' <u>direction</u> and <u>shape</u>. However, it is not sufficient to use a correlation coefficient to describe two variables. The addition of <u>scatter plots</u> can provide other helpful details such as <u>shape and outliers</u>
Answer:
It is a parallelogram, I don't know what specified method you want us to use
