This chart shows the results of two random samples that measured the average number of minutes per charge for AA Lithium-ion (Li-ion) rechargeable batteries versus Nickel-Metal Hydride (NiMH) rechargeable batteries. Down below shows the hypothesis test using significance level (α) = 0.05 to determine if the true average number of minutes per charge for NiMH batteries is smaller than that for Li-ion batteries. 1. From the data given from the first graph below, what would be the correct p value? (the one tail or the two tail?) t-Test: Two-Sample Assuming Unequal Variances NiMH Li-ion Mean 89.35714 95 Variance 3.93956 59.75 Observations 14 17 Hypothesized Mean Difference 0 df 19 t Stat -2.89621 P(T<=t) one-tail 0.004628 t Critical one-tail 1.729133 P(T<=t) two-tail 0.009255 t Critical two-tail 2.093024 For the bottom graph: 1.. Find the point estimate (you can do this by subtracting Group 2 Sample Mean from Group 1 Sample Mean.) 2. Find the Lower Bound of the confidence interval by subtracting the Margin of Error from the point estimate. 3. Find the Upper Bound by adding the margin of error to the point estimate. Comparing Two Means When Variances Are NOT equal Group 1 Sample Mean: 89.35714 Group 1 Sample Standard Deviation: 3.93956 = SQRT(Variance) Group 1 Sample Size: 14 Group 2 Sample Mean: 95 Group 2 Sample Standard Deviation: 59.75 = SQRT(Variance) Group 2 Sample Size: 17 Alpha: 0.05 =1-Conf level Hypothesized Mean Difference: 0 This usually is zero Degrees of Freedom: 16.16881 Standard Error (SE) 14.52970 Test Statistic: -0.38837 P(T<=t) one-tail 0.35143 P(T<=t) two-tail 0.70286 Margin of Error (ME) 30.80159
This chart shows the results of two random samples that measured the average number of minutes per charge for AA Lithium-ion (Li-ion) rechargeable batteries versus Nickel-Metal Hydride (NiMH) rechargeable batteries. Down below shows the hypothesis test using significance level (α) = 0.05 to determine if the true average number of minutes per charge for NiMH batteries is smaller than that for Li-ion batteries.
1. From the data given from the first graph below, what would be the correct p value? (the one tail or the two tail?)
t-Test: Two-Sample Assuming Unequal Variances | |||
NiMH | Li-ion | ||
89.35714 | 95 | ||
Variance | 3.93956 | 59.75 | |
Observations | 14 | 17 | |
Hypothesized Mean Difference | 0 | ||
df | 19 | ||
t Stat | -2.89621 | ||
P(T<=t) one-tail | 0.004628 | ||
t Critical one-tail | 1.729133 | ||
P(T<=t) two-tail | 0.009255 | ||
t Critical two-tail | 2.093024 |
For the bottom graph:
1.. Find the point estimate (you can do this by subtracting Group 2 Sample Mean from Group 1 Sample Mean.)
2. Find the Lower Bound of the confidence interval by subtracting the Margin of Error from the point estimate.
3. Find the Upper Bound by adding the margin of error to the point estimate.
Comparing Two Means When Variances Are NOT equal | |||
Group 1 Sample Mean: | 89.35714 | ||
Group 1 Sample Standard Deviation: | 3.93956 | = SQRT(Variance) | |
Group 1 |
14 | ||
Group 2 Sample Mean: | 95 | ||
Group 2 Sample Standard Deviation: | 59.75 | = SQRT(Variance) | |
Group 2 Sample Size: | 17 | ||
Alpha: | 0.05 | =1-Conf level | |
Hypothesized Mean Difference: | 0 | This usually is zero | |
Degrees of Freedom: | 16.16881 | ||
Standard Error (SE) | 14.52970 | ||
Test Statistic: | -0.38837 | ||
P(T<=t) one-tail | 0.35143 | ||
P(T<=t) two-tail | 0.70286 | ||
Margin of Error (ME) | 30.80159 |
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