Answer:
hello your question has some missing parts below is the missing part
Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same mean.
Identify the p-value.
Source DF SS MS F p
Factor 3 13.500 4.500 5.17 0.011
Error 16 13.925 0.870
Total 19 27.425
A) 0.011 B) 4.500 C) 5.17 D) 0.870
answer : p-value = 0.011 ( A )
Step-by-step explanation:
using this information
Source DF SS MS F P
Factor 3 13.500 4.500 5.17 0.011
Error 16 13.925 0.870
Total 19 27.425
significance level = 0.05
given that the significance level = 0.05
and
F statistics are given as : F = 5.17 , F critical = 3.25
hence the p-value = 0.011
from the analysis the p-value is less than the significance level is lower than the significance level
The p-value in a Minitab analysis of variance (ANOVA) test helps determine whether to reject or accept the null hypothesis that the samples all come from populations with the same mean. You would reject the null hypothesis if your p-value is less than the significance level (α = 0.05). Please refer back to your Minitab results to find this p-value.
In the context of your Minitab analysis of variance (ANOVA) results, the p-value that you should be looking at to determine the null hypothesis is not explicitly mentioned in your question. However, based on your description, you want to test the hypothesis that the different samples come from populations with the same mean (null hypothesis).
The p-value represents the probability that you would obtain your observed data (or data more extreme) if the null hypothesis were true. Therefore, if the p-value is less than the significance level (α = 0.05), you would reject the null hypothesis, suggesting that the samples do not all come from populations with the same mean. Conversely, if the p-value is larger than 0.05, you would fail to reject the null hypothesis, suggesting that the samples could come from populations with the same mean.
Please refer back to your Minitab results to find this p-value. Usually, it's labeled in the ANOVA table output as 'P' or 'Prob > F'.
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Answer:
b
Step-by-step explanation:
you can tell because it cant be D or C because you cant go right on the y axis and up on the x axis. it cant be A because 5 is the x and 2 is the y. A says that 5 is the y and 2 is the x. so it has to be B.
Answer:
B
Step-by-step explanation:
a. Slope = -0.35
y-intercept = -10.9
b. Slope = -0.35
y-intercept = 10.9
c. Slope = 0.35
y-intercept = -10.9
d. Slope = 0.35
y-intercept = 10.9
Slope & Intercept are : D) 0.35 , 10.9
Regression is the relationship between explanatory (independent) & dependent variable, which are x & y respectively.
The regression equation y = a + bx + c has intercept & slope a & b respectively , formula for finding them are as follows :
b = r ( σy / σ x )
0.223 ( 3.03 / 1.92 )
= 0.223 (1.578125)
= 0.3519
a = Y' - bX'
a = 13.8 - 0.3519 ( 8.2 )
= 13.8 - 2.8558
= 10.91
Regression Equation : y = 10.9 + 0.35x
To learn more, refer brainly.com/question/7656407?referrer=searchResults
Answer:
d. Slope = 0.35
y-intercept = 10.9
Step-by-step explanation:
The computation is shown below:
Data given in the question
Mean = 8.2
The standard deviation of x = = 1.92
Mean = 13.8
The standard deviation of y = = 3.03
The correlation = r = 0.223
Based on the above information,
As we know that
The slope is
= 0.3519
Now the y-intercept is
= 13.8 - (0.351922) 8.2
= 13.8 - 2.88579
= 10.91
Answer:
40 Miles is the answer
Step-by-step explanation:
Answer:
no
Step-by-step explanation:
Answer: D)not justifiable, because ice cream sales and shark attacks both rise during the summer.
Step-by-step explanation:
Correlation: It indicates that there is relation between any two variablesor more than two variable.
Causation: It is a type of correlation where one variable if affects other variable directly.
Thus , Causation implies correlation.
But correlation does not imply causation.
Therefore, if there is a positive correlation between ice cream sales and shark attacks , then we can not say there is a causation as both are not linked directly.
Hence, the statement is not justifiable, because Ice cream sales and shark attacks both rise during the summer and both are not interlinked.
Answer:
B
Step-by-step explanation: