Answer:
(A) We failed to reject the null hypothesis
Step-by-step explanation:
Given that a high school teacher hypothesized that in her class, boys were taller than girls. If the probability value of her null hypothesis is 0.34, it means:
Here p value is 0.34
This is greater than 0.05 or 0.1 i.e. both for 5% significance and 10% significance.
Whenever p > alpha, we fail to reject null hypothesis
A) We failed to reject the null hypothesis
This would be the correct option
i.e. final conclusion is that there is no significant difference between mean height of girls and mean height of boys at 5% or 10% significance level.
Answer:
what?
Step-by-step explanation:
Answer:
d) The difference exists due to chance since the test statistic is small
Step-by-step explanation:
From the given information:
Population mean = 178 cm
the sample mean = 177.5 cm
the standard deviation = 2
the sample size = 25
The null hypothesis and the alternative hypothesis can be computed as:
Null hypothesis:

Alternative hypothesis:

The t-test statistics is determined by using the formula:




Degree of freedom df = n- 1
Degree of freedom df = 25 - 1
Degree of freedom df = 24
At the level of significance ∝ = 0.05, the critical value = 2.064
Decision rule: To reject the null hypothesis if the test statistics is greater than the critical value at 0.05 level of significance
Conclusion: We fail to reject the null hypothesis since the test statistics is lesser than the critical value and we conclude that the difference exists due to chance since the test statistic is small
A / B
= 80 / 8
= 10
Therefore the answer is 10
Answer: 3.496
Explanation: You find the mean, which is 57.714. Next, you subtract the mean from each number in the dataset, |55 - 57.714|, |59 - 57.714|, etc. You then add all of those numbers together and divide them by the amount of numbers like you would determining the mean. This gives you 3.496. Also sorry for taking so long to respond I’m on my phone and cannot type as fast as I would on pc.