Use technology and the given confidence level and sample data to find the confidence interval for the population mean u. Assume that the population does not exhibit a normal distribution. Weight lost on a diet: 98% confidence n=61 x=2.0 kg s=3.1 kg What is the confidence interval for the population mean u? Okg

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Use technology and the given confidence level and sample data to find the confidence interval for the population mean
μ.
Assume that the population does not exhibit a normal distribution.
 
Weight lost on a diet:
98% confidence
n=61
x=2.0 kg
s=3.1 kg
What is the confidence interval for the population mean
μ​?
Use technology and the given confidence level and sample data to find the confidence interval for the population mean µ. Assume that the population does not exhibit a normal distribution.
Weight lost on a diet:
98% confidence
n= 61
x=2.0 kg
s= 3.1 kg
What is the confidence interval for the population mean u?
kg <µ< kg (Round to one decimal place as needed.)
Is the confidence interval affected by the fact that the data appear to be from a population that is not normally distributed?
O A. No, because the population resembles a normal distribution.
O B. Yes, because the sample size is not large enough.
O C. Yes, because the population does not exhibit a normal distribution.
O D. No, because the sample size is large enough.
Transcribed Image Text:Use technology and the given confidence level and sample data to find the confidence interval for the population mean µ. Assume that the population does not exhibit a normal distribution. Weight lost on a diet: 98% confidence n= 61 x=2.0 kg s= 3.1 kg What is the confidence interval for the population mean u? kg <µ< kg (Round to one decimal place as needed.) Is the confidence interval affected by the fact that the data appear to be from a population that is not normally distributed? O A. No, because the population resembles a normal distribution. O B. Yes, because the sample size is not large enough. O C. Yes, because the population does not exhibit a normal distribution. O D. No, because the sample size is large enough.
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