We have these observations in this data: 15, 18, 46, 50, 50, 50, 50, 57.
The mean of these values is
Step-by-step explanation:
to compare day 1 with day 2 :
100% = 8
1% = 100%/100
25% = 25×1% = 100% × 25/100 = 8 × 1/4 = 2
so, on day 2 he walks 8+2 = 10 laps.
on day 3 he walks then 10-1 = 9 laps.
so, now, to calculate the % decrease compared to day 2
100% = 10
1% = 100%/100 = 0.1
how many % is represented by this 1 lap he was walking less ?
1 / 1% = 1 / 0.1 = 10%
so he had a 10% decrease from day 2 to day 3.
I’m not sure how to explain it but the answer is B
Answer:
The mean waiting time of all customers is significantly more than 3 minutes, at 0.05 significant level
Step-by-step explanation:
Step 1: State the hypothesis and identify the claim.
Step 2: We calculate the critical value. Since we were not given any significant level, we assume , and since this is a right tailed test, the critical value is z=1.65
Step 3: Calculate the test statistic.
Step 4:Decide. Since the test statistic , 2 s greater than the critical value, 1.65, and it is in the critical region, the decision is to reject the null hypothesis.
Step 5: Conclusion, there is enough evidence to support the claim that the mean is greater than 3