The weights, in pounds, of 20 students at a local school are sampled and recorded. JMP Applet jmp ▼ Report :. ▼ Distribu

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The Weights In Pounds Of 20 Students At A Local School Are Sampled And Recorded Jmp Applet Jmp Report Distribu 1 (58.67 KiB) Viewed 72 times

The weights, in pounds, of 20 students at a local school are sampled and recorded. JMP Applet jmp ▼ Report :. ▼ Distributions ▼ weight 120 140 160 180 200 ▼ Distributions ▼weight Confidence Intervals ? ▼ Confidence Intervals 220 240 260 1-Alpha Parameter Estimate Lower Cl Upper CI Mean 178.6 169.0535 188.1465 0.900 Std Dev 24.69051 19.60242 33.83613 0.900 Parameter Estimate Lower Cl Upper Cl 178.6 162.8049 194.3951 1-Alpha 0.990 Mean Std Dev 24.69051 17.32658 41.1389 0.990 ▼ Quantiles 100.0% maximum 99.5% 97.5% 90.0% 75.0% 50.0% 25.0% 10.0% 2.5% 0.5% 0.0% quartile median quartile minimum 247 247 247 210.1 192.5 176 158.25 154 138 138 138 ▼ Summary Statistics Mean Std Dev Std Err Mean Upper 95% Mean Lower 95% Mean N 178.6 24.690505 5.5209648 190.15551 167.04449 20
(a) Determine the sample mean for weight and the standard error mean. (Round the standard error mean to three decimal places.) sample mean lb standard error mean Select the correct description for each variable. (b) (1) the 20 students who provided their weight O population O sample O population parameter (ii) all the students at the local school O population O sample O population parameter (iii) the mean weight of all the children O population O ample O population parameter Fill in the correct values. (Round your answers to three decimal places.) The 90% confidence interval for the mean is lb to lb. Select the correct description(s) of this interval. Select all that apply. There is a 10% chance that the confidence interval does not contain the mean weight of the school. There is a 90% chance that the confidence interval contains the mean weight of the school. The interval is found by adding and subtracting a multiple of the standard error mean from the mean. The interval is found by adding and subtracting a multiple of the mean to the standard error mean. There is a 10% chance the mean weight of the school is above the larger number in the interval. The mean of the sample is equal to the mean of the population.
B (c) The mean of the sample is equal to the mean of the population. Fill in the correct values. (Round your answers to three decimal places.) There is a 1% chance the mean weight of the school is outside the interval lb to Ib.