Your going to your familys thanksgiving dinnner at 45 miles per hour your familys house is 135 miles away how any hours will it
1 answer:
You might be interested in
Answer:
c. should not be rejected
Step-by-step explanation:
1) Data given and notation
The data given is:
Method 1 : 7,5,6,7,5
Method 2: 5,9,8,7,6
represent the mean for the method 1
represent the mean for the method 2
represent the sample standard deviation for the method 1
represent the sample standard deviation for the method 2
sample size selected for the Consultant A
sample size selected for the Consultant B
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the mean for the difference is equal to 0, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
If we analyze the size for the samples both are less than 30 so for this case is better apply a t test to compare means, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other".
Calculate the statistic
We can replace in formula (1) the info given like this:
(1)
P-value
The first step is calculate the degrees of freedom, on this case:
Since is a two sided test the p value would be:
Conclusion
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis. So the best option would be:
c. should not be rejected
Answer:
Sample size of 586 or higher.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of
, we have the following confidence interval of proportions.
In which
z is the zscore that has a pvalue of .
The margin of error is:
95% confidence level
So , z is the value of Z that has a pvalue of
, so
.
What sample size could be 95% confident that the estimated (sample) proportion is within 4 percentage points of the true population proportion?
Sample size of at least n when
42.1% of women-owned businesses provided retirement plans contributions, which means that . So
We need a sample size of 586 or higher.