Conduct a hypothesis test and report the p-value. p=p= (Include four decimal places) At the 5% significance level, we conclude that Suzy bikes faster after drinking the energy drink. True False
Conduct a hypothesis test and report the p-value. p=p= (Include four decimal places) At the 5% significance level, we conclude that Suzy bikes faster after drinking the energy drink. True False
Conduct a hypothesis test and report the p-value. p=p= (Include four decimal places) At the 5% significance level, we conclude that Suzy bikes faster after drinking the energy drink. True False
Hypothesis Test with a Known Standard Deviation After many years of commuting, Suzy knows that the can bike to her office in 17 minutes with a standard deviation of 1 minute. While shopping, she finds an all-natural energy drink and decides to use it to shorten her commute time. Suzy records 12 morning commutes with an average time of 16.5 minutes in which she drank the energy drink before biking. Is there sufficient evidence to show that the energy drink helped? Conduct a hypothesis test at the 5% significance level.
H0:μ≥17H0:μ≥17 Ha:μ<17Ha:μ<17
Useful tools: Normal Distribution Calculator t-Distribution Calculator
Conduct a hypothesis test and report the p-value. p=p= (Include four decimal places)
At the 5% significance level, we conclude that Suzy bikes faster after drinking the energy drink.
True
False
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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