A 10-foot ladder leans against a wall with its foot braced 3 feet from wall’s base. How far up the wall does the ladder reach? S
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2 answers:
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Answer:
0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x
Step-by-step explanation:
Given the data in the question;
sample size n = 28
slope of the least squares regression line of y on x or sample estimate = 0.0623
standard error = 0.0224
95% confidence interval
level of significance ∝ = 1 - 95% = 1 - 0.95 = 0.05
degree of freedom df = n - 2 = 28 - 2 = 26
∴ the equation will be;
⇒ sample estimate ± ( t-test) ( standard error )
⇒ sample estimate ± ( ) ( standard error )
⇒ sample estimate ± ( ) ( standard error )
⇒ sample estimate ± ( ) ( standard error )
{ from t table; ( ) = 2.055529 = 2.056
so we substitute
⇒ 0.0623 ± ( 2.056 )( 0.0224 )
Therefore, 0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x
Both the sample can be used to make inferences about the population.
The correct option is D.
Given
Jason and Yolanda both drew a simple random sample from a non-normally distributed population of 25,000.
Jason’s sample consisted of 0.24% of the population, while Yolanda’s sample consisted of 0.32% of the population.
<h3>Percentage;</h3>A percentage is a number or ratio that can be expressed as a fraction of 100.
According to the question
Total number of population = 25000
Percent of a sample of Jason = 0.24%
Percent of the sample of Yolanda's = 0.32%
So, the number of the population according to Jason's sample is given by;
The number of the population according to Yolanda's sample is given by;
Hence, Both the sample can be used to make inferences about the population
To know more about the percentage click the link given below.