Answer:
130 ± 1.82 inches i.e the range of the values is 128.18 inches to 131.82 inches.
Step-by-step explanation:
The range of values required here implies the values fall between the least and maximum values.
Since the values can vary by 1.4%, the range can be determined by:
1.4% of 130 =
x 130
= 0.014 x 130
= 1.82
The addition or subtraction of 1.82 to/from 130 inches gives the required range.
i.e the range of allowable values = 130 ± 1.82 inches.
Thus,
130 - 1.82 = 128.18 inches
130 + 1.82 = 131.82 inches
The values falls between 128.18 inches to 131.82 inches.
Answer: 15 ounces
Step-by-step explanation:
It is given that a company claims the average cereal in boxes of breakfast cereal = 15 ounces
And we know that the mean amount is nothing but the average amount of any data.
Mean is synonym word of average .
The statistical mean is the mean or average that is used to find the central tendency of the data in any question.
Thus, the expected mean amount of cereal per box = 15 ounces.
Answer:
Option B is correct.
Use the difference in sample means (10 and 8) in a hypothesis test for a difference in two population means.
Step-by-step Explanation:
The clear, complete table For this question is presented in the attached image to this solution.
It should be noted that For this question, the running coach wants to test if participating in weekly running clubs significantly improves the time to run a mile.
In the data setup, the mean time to run a mile in January for those that participate in weekly running clubs and those that do not was provided.
The mean time to run a mile in June too is provided for those that participate in weekly running clubs and those that do not.
Then the difference in the mean time to run a mile in January and June for the two classes (those that participate in weekly running clubs and those that do not) is also provided.
Since, the aim of the running coach is to test if participating in weekly running clubs significantly improves the time to run a mile, so, it is logical that it is the improvements in running times for the two groups that should be compared.
Hence, we should use the difference in sample means (10 and 8) in a hypothesis test for a difference in two population means.
Hope this Helps!!!