The following is a random sample of n = 90 undergraduate students' annual textbook expense. | ||||||||
610 | 600 | 300 | 420 | 520 | 470 | 430 | 520 | 400 |
370 | 730 | 480 | 450 | 500 | 650 | 370 | 540 | 330 |
690 | 550 | 450 | 450 | 750 | 750 | 660 | 700 | 300 |
770 | 760 | 390 | 680 | 450 | 590 | 630 | 530 | 700 |
580 | 390 | 330 | 320 | 350 | 490 | 310 | 320 | 780 |
590 | 370 | 470 | 760 | 550 | 630 | 450 | 640 | 620 |
520 | 440 | 720 | 660 | 440 | 770 | 380 | 450 | 800 |
720 | 370 | 550 | 460 | 560 | 590 | 350 | 790 | 700 |
550 | 650 | 750 | 400 | 490 | 690 | 610 | 730 | 560 |
420 | 410 | 720 | 650 | 450 | 540 | 590 | 310 | 370 |
1 | The point estimate of the population mean is $540 |
2 | The variance of the sample is 20,809 | |||||||
3 | To build an interval estimate of the population mean, the standard error of the mean is _____? |
4 | The margin of error for a 95% interval estimate is ___? |
For one and two, the bold numbers are the answers I got, they may not be correct. However, 3 & 4 is what I really need help with, as I have no clue how to solve this. If you could explain your steps, that would help so much so that I can do it on my own in the future!
** Your calculations for mean and standard deviation are correct. For standard error and margin of error, round the answers as per your requirement. Thank you..
The following is a random sample of n = 90 undergraduate students' annual textbook expense. 610...
Next SIX questions are related to the following data: The following is a random sample of n = 90 undergraduate students' annual textbook expense. 610 600 300 420 520 470 430 520 400 370 730 480 450 500 650 370 540 330 690 550 450 450 750 750 660 700 300 770 760 390 680 450 590 630 530 700 580 390 330 320 350 490 310 320 780 590 370 470 760 550 630 450 640 620 520 440...
I just need help with questions 5 and 6 370 300 630 530 Next SIX questions are related to the following data: The following is a random sample of n = 90 undergraduate students' annual textbook expense. 610 600 300 420 520 470 430 520 400 370 730 480 450 500 650 540 330 690 550 450 450 750 750 660 700 770 760 390 680 590 700 580 390 330 320 350 490 310 320 780 370 760 630...
Use the moving average method to forecast period 105.Use the exponential smoothing method to forecast period 105.Use the time-series decomposition method to forecast period 105.Comparing the three methods, which one fits this situation best?The larger the parameter (n) is set, the more historical data are taken into account by the moving average.You can choose different parameter (n) to extrapolate to compare the prediction effect.In general, the parameter (n) should not be taken too large.Moving average.153025703560453055106560761085609580106101165012700136701470015760167301776018820197802090021840227702382024800257602676027770287902976030740317203267033690344703567036690376203865039610406204164042590436104460045630466004763048640496105059051610526305366054640558105679057820586505971060700616706269063730647306576066790678106887069890708707189072880739307498075900768607789078880798708084081860829108387084860858408654087780887508978090760917109273093750947509571096750977209877099740100750101760102780103800104850105Exponential smoothingsame153025703560453055106560761085609580106101165012700136701470015760167301776018820197802090021840227702382024800257602676027770287902976030740317203267033690344703567036690376203865039610406204164042590436104460045630466004763048640496105059051610526305366054640558105679057820586505971060700616706269063730647306576066790678106887069890708707189072880739307498075900768607789078880798708084081860829108387084860858408654087780887508978090760917109273093750947509571096750977209877099740100750101760102780103800104850105Time-series decomposition153025703560453055106560761085609580106101165012700136701470015760167301776018820197802090021840227702382024800257602676027770287902976030740317203267033690344703567036690376203865039610406204164042590436104460045630466004763048640496105059051610526305366054640558105679057820586505971060700616706269063730647306576066790678106887069890708707189072880739307498075900768607789078880798708084081860829108387084860858408654087780887508978090760917109273093750947509571096750977209877099740100750101760102780103800104850105
SAT reading and writing section scores of a random sample of twenty 11th-grade students in a certain high school are given below. 380 520 480 510 560 630 670 490 500 550 400 350 440 490 620 660 700 730 740 560 Test if the standard deviation of the reading and writing section SAT score of the students in this school is higher than 100. What is the value of the test statistic (round off to the nearest integer)?
Name Histogram/Ogive Follow. SAT Scores Data: 800 780 760740720 700 700 700 700 690 690 690 690650 610 610 600 590 580 570 570 570 550 460 460 450 440 430 420 420 400 390 360 350 720 710 690 690 620 570 550 430 340 700 6 580 560 560 Construct an appropriate HISTOGRAM with an XSCL of 40 and an XMIN of 321 your calculator. using Based on your findings, what two pieces of information would be used...
8.) Find 94th percentile, P94, from the following data 110 130 190 200 270 280 310 330 350 370 420 440 450 520 550 570 580 590 620 640 660 680 740 780 800 810 840 860 870 900 920 930 950 P94 =
The cantilevered bar in the figure is made from a ductile material and is statically loaded with Fx-320 lbf, Fy = 255 lbf, and F- 105 lbf. The critical stress element experiences = 58.4 kpsi, σ x ,axial =0.407 kpsi and τ = 15.6 kpsi. Determine the minimum factor of safety for fatigue at point A, based on infinite life. If the life is not infinite, estimate the number of cycles. The force F is applied as a repeated load...
Fit a binary logistic regression model with admission decision as the dependent variable, GRE and GPA as the independent variables. Evaluate the goodness of fit of the model. Determine the significance of independent variables. Interpret odds ratios for independent variables. State the binary logistic regression equation. Evaluate the classification accuracy of the model. Check if the residuals are independent. Admit GRE GPA 0 790 1 1 370 0 1 480 1 1 580 1 1 620 1 0 740 0...
Due i Find 24th percentile, P24, from the following data 120 140 260 300 310 170 250 330 400 560 570 450 530 550 580 590 650 660 740 760 800 820 870 890 910 940 950 960 P24 Hint: Textbook Pages TIP Enter your answer as an integer or decimal number. Exam Enter DNE for Does Not Exist, oo for Infinity Get Help: Points possible: 10 This is attempt 1 of 5.
Tendai is a welder who started his own business making security gates, fences and other related steel product . Unit of capital employed Unit of Capital employed Output quantity (Q) 10 340 560 800 1 000 1 160 1 380 1 650 1 950 1 980 2 200 9 400 620 840 1 030 1 210 1 440 1 770 2 000 2 050 2 100 8 380 540 810 980 1 090 1 400 1 700 1 980 2...