Answer:
Reject Null Hypothesis given that P-value < ∝
Step-by-step explanation:
Applying the Five ( 5 ) step model and assuming ∝ = 0.05
First step : determine the Null hypothesis
H0 : Age and support for Anti-smoking = independent
Second step : Determine the alternate hypothesis
Ha : Age and support for Anti-smoking ≠ independent
Thirdly : Identify significance level ( ∝ ) = 0.05
4th step : Calculate the Test statistic and P-value
Chi-squared test = 36.1429 using excel function
P-value = 1 - CHISQ.DIST(36.1429, 1, TRUE) < 0.0001
finally : we can conclude that Age and support for Anti -smoking are not Independent hence we Reject The Null hypothesis. Given that
P-value < ∝
Answer:
f(½) = 1.73
f(¼) = 1.32
Step-by-step explanation:
You will find the complete question attached as a picture alongside the solution.
y = f(x) = 
When f(x) ⇒ f(½); that is, x = ½
y =
= 
y = 1.7320508076 ≈ 1.73
y = <u>1.73</u> (to the nearest hundredth)
When f(x) ⇒ f(¼); that is, x = ¼
y =
= ![\sqrt[4]{3}](https://tex.z-dn.net/?f=%5Csqrt%5B4%5D%7B3%7D)
y = 1.316074013 ≈ 1.32
y = <u>1.32</u> (to the nearest hundredth)
Answer:
I think it's 20 i'm not so sure if you get it wrong than i'm sorry
Answer:
Please check the explanation.
Step-by-step explanation:
Given
- The location of Point A on the number line = -13.4
- The location of Point B on the number line = 14
- The location of Point C on the number line = 19.9
The location of Point C on the number line = 19.9
Thus, the distance or length between B and C can be calculated by subtracting the point B units from point C units.
BC = 19.9 - 14
= 5.9 units
Therefore,
BC = 5.9 units
Also, the distance or length between C and A can be calculated by subtracting the point C units from point A units.
CA = -13.4-19.9
= -33.3 units
Therefore,
CA = -33.3 units
As the length or distance can not be negative, hence
CA = 33.3 units
Complete Question
Trade associations, such as the United Dairy Farmers Association, frequently conduct surveys to identify characteristics of their membership. If this organization conducted a survey to estimate the annual per-capital consumption of milk and wanted to be 95% confident that the estimate was no more than 0.5 gallon away from the actual average, what sample size is needed? Past data have indicated that the standard deviation of consumption of approximately 10 gallons.
Answer:
The sample size is 
Step-by-step explanation:
From the question we are told that
The margin of error is
The confidence level is
%
Given that the confidence level is 95% the level of significance is mathematically represented as

%

Next we obtain the critical value of
from the normal distribution table , the values is 
The reason we are obtaining critical values of

instead of

is because

represents the area under the normal curve where the confidence level interval (

) did not cover which include both the left and right tail while

is just the area of one tail which what we required to calculate the sample size
Now the sample size is mathematically represented as
![n = \frac{[Z_{\frac{\alpha }{2} }] ^2 * \sigma ^2}{MOE^2}](https://tex.z-dn.net/?f=n%20%20%3D%20%20%5Cfrac%7B%5BZ_%7B%5Cfrac%7B%5Calpha%20%7D%7B2%7D%20%7D%5D%20%5E2%20%2A%20%20%5Csigma%20%5E2%7D%7BMOE%5E2%7D)
substituting values

