Answer:
No. The data in this study were not based on a random method. This is a key requirement for an inference to be made from the two-sample t-test.
Step-by-step explanation:
1. Hayden can use the two-sample t-test (also known as the independent samples t-test)to find out if there was a difference in the time spent in the checkout time between two grocery stores and to conclude whether the difference in the average checkout time between the two stores is really significant or if the difference is due to a random chance. There are three conditions to be met when using the two-sample t-test.
2. The first condition is that the sampling method must be random. This requirement was not met in this study. Each customer from each store should have an equal chance of being selected for the study. This was not achieved.
3. The distributions of the sample data are approximately normal. This is achieved with a large sample size of 30 customers selected for each study.
4. The last but not the least condition is the independence of the sample data. Sample data here is independent for both samples.
Answer:
60
Step-by-step explanation:
2 times 150
Answer:
Step-by-step explanation:
The total number of apples produced at the apple harvest is 2,350kg.
1 kg = 1000 grams. Therefore,
2350 kg = 2350 × 1000 = 2350000kg
A farmer packs 36 apples in the box. If one apple weighs approximately 250 grams, the total weight of 36 apples would be
36 × 250 = 9000 grams
Therefore, the number of boxes that are needed to pack the apples would be
2350000/9000 = 261.11
It means that 262 boxes would be needed.
