Answer:
Step-by-step explanation: the pattern is going positive to negative and going further away from zero so the next term would be -3
Answer:
The p-value of the test statistic from the standard normal table is 0.0017 which is less than the level of significance therefore, the null hypothesis would be rejected and it can be concluded that there is sufficient evidence to support the claim that less than 20% of the pumps are inaccurate.
Step-by-step explanation:
Here, 1304 gas pumps were not pumping accurately and 5689 pumps were accurate.
x = 1304, n = 1304 + 5689 = 6993
The level of significance = 0.01
The sample proportion of pump which is not pumping accurately can be calculated as,
The claim is that the industry representative less than 20% of the pumps are inaccurate.
The hypothesis can be constructed as:
H0: p = 0.20
H1: p < 0.20
The one-sample proportion Z test will be used.
The test statistic value can be obtained as:

I-F=100(86-65)/65 - 100(80-70)/70 = 18%
Iliana's increase was 18% more than Fiona's increase.
1 pound = 16 ounces
454/16 = 28.375 of they ask to round it I would round it as 28.4
Hope this helps!