The conditional relative frequency table was generated using data that compares the number of voters in the last election and wh
ether or not they worked on election day. Fifty people who voted and 85 people who did not vote were chosen at random and surveyed.
How many people in the survey worked on election day?
32
34
66
69
How many people in the survey worked on election day?
32
34
66
69
2 answers:
Answer: 66
Step-by-step explanation:
From the given conditional relative frequency table , it can be seen that
The probability of person who who did vote and work on election day= 0.64
If the total number of person voted = 50
Then, <em>the number of person who did vote and work on election day=</em>
The probability of person who who did not vote but did work on election day= 0.4
If the total number of person did not vote= 85
Then, <em>the number of person who did vote but did work on election day</em>=
Now, the number of people in the survey worked on election day=
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Answer:
Since the p value is lower than the significance level we have enough evidence to conclude that the true means are different at 5% of significance
Step-by-step explanation:
Data given
sample mean for group 1
sample mean for group 2
sample size for group 1
sample size for group 2
sample deviation for group 1
sample deviation for group 2
Solution
We want to check if the two means are equal so then the system of hypothesis are:
Null hypothesis:
Alternative hypothesis:
And the statistic is given by:
And replacing we got:
The degrees of freedom are given by:
And the p value would be:
Since the p value is lower than the significance level we have enough evidence to conclude that the true means are different at 5% of significance