Answer:
it's x= 7
Step-by-step explanation:
hope that helped
Answer:
B)
Step-by-step explanation:
In statistics, an outlier is a data point that differs significantly from other observations.
This can happen because of different reasons: it may be due to variability in the measurement or it may indicate an actual experimental error. If it is an actual experimental error then it can create problems when doing the statistical analysis.
A) We can say that this is true, the outliers are observed values far from the other data, however we can make a much deeper analysis of this.
B) This is the right answer, since we don't know what is really causing the outlier, we need to take a closer look to see if they are just mistakes (and therefore be removed). If they are not mistakes we need to do the analysis with and without them to reach correct conclusions.
C) this is wrong because although the part of the histogram is true. It is not true that they should be ignored.
d) The outliers differ significantly from the other data but this doesn't make them the minimum and maximum values in a data set and therefore they should not be treated as such.
Therefore, the correct answer is B)
3x + 12 I’m guessing not sure if it’s right
Answer:
The p value for this case would be:
For this case since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true proportion is not different from 0.39
Step-by-step explanation:
Information given
n=100 represent the random sample taken
X=36 represent the number of people that take E supplement
estimated proportion of people who take R supplement
is the value that we want to test
represent the significance level
z would represent the statistic
represent the p value
Hypothesis to test
We want to test if the true proportion is equatl to 0.39 or not, the system of hypothesis are.:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Replacing the info we got:
The p value for this case would be:
For this case since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true proportion is not different from 0.39
Answer:
9 x D
Step-by-step explanation:
D being the number of doughnuts produced.
