Description
A graphing calculator is recommended.
Determine the end behavior of P.
P(x) = −
x3 +
x2 + 15x
1 |
3 |
1 |
9 |
y → |
y → |
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29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, r ...
29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. All answers to three places after the decimal. (I did most of these questions already, there are just a few I cannot solve. I starred the ones I have not solved and put the answers next to the question that I already answered. I only really need 2 out of 9. A 95% confidence interval for the true proportion of college students with hypertension during finals week is (____,____). (0.096, 0.1938)We can be 80% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.03187)Unless our sample (of 200 donors) is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between (_____) and (_____). (0.104, 0.186)The probability, at 60% confidence, that a given college donor will have hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.210)* Assuming our sample of donors is among the most typical half of such samples, the true proportion of college students with hypertension during finals week is between (______) and (______). (not sure) *We are 99% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.064)Assuming our sample of donors is among the most typical 99.9% of such samples, the true proportion of college students with hypertension during finals week is (_____) and (_____). (0.063, 0.227)* Covering the worst-case scenario, how many donors must we examine in order to be 95% confident that we have the margin of error as small as 0.01? (_____). (not sure) *Using a prior estimate of 15% of college-age students having hypertension, how many donors must we examine in order to be 99% confident that we have the margin of error as small as 0.01? (_____). (8,487)
12 pages
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A cross-sectional study was conducted to predict the self-esteem of children from 4th grade till 7th -grade children based ...
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Abraham Lincoln University Standard Deviation and Stock Market Data Discussion
Use the Excel file General-Electric and upload it to SPSS. This file contains GE’s daily stock market data covering the ...
Abraham Lincoln University Standard Deviation and Stock Market Data Discussion
Use the Excel file General-Electric and upload it to SPSS. This file contains GE’s daily stock market data covering the period of 12/13/2010 to 12/11/2018. The file contains a total of 2013 daily transaction records including date, opening price of the GE stock for the day, highest price, lowest price, closing price, closing price adjusted for dividends, and the number of stocks traded (volume).1- Use the explore command in SPSS and explain whether the trading volume of the stock is normally distributed. Make sure to discuss, Skewness, kurtosis, results from test of normality as well as the Q-Q plots.2- Select a random Sample of exactly 125 observations. Then run the descriptive command and calculate the mean and standard deviation of the sample. Repeat this process (i.e., selection of a random sample and descriptive command) exactly 50 times. Hint: Use SPSS syntax to repeat the command. List both values (mean and the standard deviation) in a new excel file with proper column headings.3- Upload the newly created excel file into SPSS and create a histogram of both the calculated means and standard deviations.4- Run the explore command similar to what you did in step 1 for both variables and make your observations. Does the Central Limit Theorem (CLT) apply to both measurements?5- Suppose you believe that the true average daily trade volume for General Electric stock is 49,829,719 shares. Based on a recent sample you have also calculated a standard deviation of 21,059,637 shares. Considering a 95% confidence level, what is the minimum required sample size if you like your sampling error to be limited to 10,000,000 shares. What sample size would offer a sampling error of not more than 20,000,000 shares? Assuming N=2013 represents the total population size, how will your calculations change for the finite sample?6- Is there a statistically significant difference between the average trading volume in 2017 and 2018? Hint: While technically, this can be carried out as a pared sample t-test since volume data are reported for the same stock, we will treat this as independent samples. Complete your calculations by hand assuming M2017=46108055, S2017=34099055, n2017=251, M2018= 87241844, S2018=50977722, n2018=238.Repeat the test, this time by using SPSS. Hint: Create a new grouping variable for 2017 and 2018 and use it to run your test.
University of Wisconsin Milwaukee Regression Analysis R Code on R Studio Problems
Regression Analysis. Show all work and output to all code. I dont need just output, i need it to show how to use the outpu ...
University of Wisconsin Milwaukee Regression Analysis R Code on R Studio Problems
Regression Analysis. Show all work and output to all code. I dont need just output, i need it to show how to use the output.- You only need to do the LOF test for the reduced model on the project. All kinds of problems arise when you try to do it for the full model.- In the Fish set data, the weight is measured in grams. Everything else is measured in centimeters- First, for the lack of fit test, it would seem that a lot of you are running into an issue that I had not, but I am not sure why. If you do the lack of fit test for the full model, I am having a lot of people say that R gives a fatal error. This looks to be due to exceeding memory limitations when everything is broken down into factors. The remedy to this seems to be that we should do the LOF test only for the reduced model, so just do that.Using the “Fish.txt” data set, specify and completely analyze a multiple linear regression model that relates
weight to length1, length2, length3, height, and width. Carry out a full analysis of the model, including tests
for each coefficient (with the significance level adjusted for multiple tests) and confidence intervals for each
coefficient. If any are not significant to the model, drop them, fit the reduced model, and repeat the full
analysis. Do not forget to examine multicollinearity among predictors, and for each model you fit, carry out a
formal test for a lack of fit.Fish.txt :"Weight" "Length1" "Length2" "Length3" "Height" "Width""1" 242 23.2 25.4 30 11.52 4.02"2" 290 24 26.3 31.2 12.48 4.3056"3" 340 23.9 26.5 31.1 12.3778 4.6961"4" 363 26.3 29 33.5 12.73 4.4555"5" 430 26.5 29 34 12.444 5.134"6" 450 26.8 29.7 34.7 13.6024 4.9274"7" 500 26.8 29.7 34.5 14.1795 5.2785"8" 390 27.6 30 35 12.67 4.69"9" 450 27.6 30 35.1 14.0049 4.8438"10" 500 28.5 30.7 36.2 14.2266 4.9594"11" 475 28.4 31 36.2 14.2628 5.1042"12" 500 28.7 31 36.2 14.3714 4.8146"13" 500 29.1 31.5 36.4 13.7592 4.368"14" 340 29.5 32 37.3 13.9129 5.0728"15" 600 29.4 32 37.2 14.9544 5.1708"16" 600 29.4 32 37.2 15.438 5.58"17" 700 30.4 33 38.3 14.8604 5.2854"18" 700 30.4 33 38.5 14.938 5.1975"19" 610 30.9 33.5 38.6 15.633 5.1338"20" 650 31 33.5 38.7 14.4738 5.7276"21" 575 31.3 34 39.5 15.1285 5.5695"22" 685 31.4 34 39.2 15.9936 5.3704"23" 620 31.5 34.5 39.7 15.5227 5.2801"24" 680 31.8 35 40.6 15.4686 6.1306"25" 700 31.9 35 40.5 16.2405 5.589"26" 725 31.8 35 40.9 16.36 6.0532"27" 720 32 35 40.6 16.3618 6.09"28" 714 32.7 36 41.5 16.517 5.8515"29" 850 32.8 36 41.6 16.8896 6.1984"30" 1000 33.5 37 42.6 18.957 6.603"31" 920 35 38.5 44.1 18.0369 6.3063"32" 955 35 38.5 44 18.084 6.292"33" 925 36.2 39.5 45.3 18.7542 6.7497"34" 975 37.4 41 45.9 18.6354 6.7473"35" 950 38 41 46.5 17.6235 6.3705"36" 40 12.9 14.1 16.2 4.1472 2.268"37" 69 16.5 18.2 20.3 5.2983 2.8217"38" 78 17.5 18.8 21.2 5.5756 2.9044"39" 87 18.2 19.8 22.2 5.6166 3.1746"40" 120 18.6 20 22.2 6.216 3.5742"41" 0 19 20.5 22.8 6.4752 3.3516"42" 110 19.1 20.8 23.1 6.1677 3.3957"43" 120 19.4 21 23.7 6.1146 3.2943"44" 150 20.4 22 24.7 5.8045 3.7544"45" 145 20.5 22 24.3 6.6339 3.5478"46" 160 20.5 22.5 25.3 7.0334 3.8203"47" 140 21 22.5 25 6.55 3.325"48" 160 21.1 22.5 25 6.4 3.8"49" 169 22 24 27.2 7.5344 3.8352"50" 161 22 23.4 26.7 6.9153 3.6312"51" 200 22.1 23.5 26.8 7.3968 4.1272"52" 180 23.6 25.2 27.9 7.0866 3.906"53" 290 24 26 29.2 8.8768 4.4968"54" 272 25 27 30.6 8.568 4.7736"55" 390 29.5 31.7 35 9.485 5.355"56" 270 23.6 26 28.7 8.3804 4.2476"57" 270 24.1 26.5 29.3 8.1454 4.2485"58" 306 25.6 28 30.8 8.778 4.6816"59" 540 28.5 31 34 10.744 6.562"60" 800 33.7 36.4 39.6 11.7612 6.5736"61" 1000 37.3 40 43.5 12.354 6.525"62" 55 13.5 14.7 16.5 6.8475 2.3265"63" 60 14.3 15.5 17.4 6.5772 2.3142"64" 90 16.3 17.7 19.8 7.4052 2.673"65" 120 17.5 19 21.3 8.3922 2.9181"66" 150 18.4 20 22.4 8.8928 3.2928"67" 140 19 20.7 23.2 8.5376 3.2944"68" 170 19 20.7 23.2 9.396 3.4104"69" 145 19.8 21.5 24.1 9.7364 3.1571"70" 200 21.2 23 25.8 10.3458 3.6636"71" 273 23 25 28 11.088 4.144"72" 300 24 26 29 11.368 4.234"73" 5.9 7.5 8.4 8.8 2.112 1.408"74" 32 12.5 13.7 14.7 3.528 1.9992"75" 40 13.8 15 16 3.824 2.432"76" 51.5 15 16.2 17.2 4.5924 2.6316"77" 70 15.7 17.4 18.5 4.588 2.9415"78" 100 16.2 18 19.2 5.2224 3.3216"79" 78 16.8 18.7 19.4 5.1992 3.1234"80" 80 17.2 19 20.2 5.6358 3.0502"81" 85 17.8 19.6 20.8 5.1376 3.0368"82" 85 18.2 20 21 5.082 2.772"83" 110 19 21 22.5 5.6925 3.555"84" 115 19 21 22.5 5.9175 3.3075"85" 125 19 21 22.5 5.6925 3.6675"86" 130 19.3 21.3 22.8 6.384 3.534"87" 120 20 22 23.5 6.11 3.4075"88" 120 20 22 23.5 5.64 3.525"89" 130 20 22 23.5 6.11 3.525"90" 135 20 22 23.5 5.875 3.525"91" 110 20 22 23.5 5.5225 3.995"92" 130 20.5 22.5 24 5.856 3.624"93" 150 20.5 22.5 24 5.856 3.624"94" 145 20.7 22.7 24.2 5.9532 3.63"95" 150 21 23 24.5 5.2185 3.626"96" 170 21.5 23.5 25 6.275 3.725"97" 225 22 24 25.5 7.293 3.723"98" 145 22 24 25.5 6.375 3.825"99" 188 22.6 24.6 26.2 6.7334 4.1658"100" 180 23 25 26.5 6.4395 3.6835"101" 197 23.5 25.6 27 6.561 4.239"102" 218 25 26.5 28 7.168 4.144"103" 300 25.2 27.3 28.7 8.323 5.1373"104" 260 25.4 27.5 28.9 7.1672 4.335"105" 265 25.4 27.5 28.9 7.1672 4.335"106" 250 25.4 27.5 28.9 7.2828 4.5662"107" 250 25.9 28 29.4 7.8204 4.2042"108" 300 26.9 28.7 30.1 7.5852 4.6354"109" 320 27.8 30 31.6 7.6156 4.7716"110" 514 30.5 32.8 34 10.03 6.018"111" 556 32 34.5 36.5 10.2565 6.3875"112" 840 32.5 35 37.3 11.4884 7.7957"113" 685 34 36.5 39 10.881 6.864"114" 700 34 36 38.3 10.6091 6.7408"115" 700 34.5 37 39.4 10.835 6.2646"116" 690 34.6 37 39.3 10.5717 6.3666"117" 900 36.5 39 41.4 11.1366 7.4934"118" 650 36.5 39 41.4 11.1366 6.003"119" 820 36.6 39 41.3 12.4313 7.3514"120" 850 36.9 40 42.3 11.9286 7.1064"121" 900 37 40 42.5 11.73 7.225"122" 1015 37 40 42.4 12.3808 7.4624"123" 820 37.1 40 42.5 11.135 6.63"124" 1100 39 42 44.6 12.8002 6.8684"125" 1000 39.8 43 45.2 11.9328 7.2772"126" 1100 40.1 43 45.5 12.5125 7.4165"127" 1000 40.2 43.5 46 12.604 8.142"128" 1000 41.1 44 46.6 12.4888 7.5958"129" 200 30 32.3 34.8 5.568 3.3756"130" 300 31.7 34 37.8 5.7078 4.158"131" 300 32.7 35 38.8 5.9364 4.3844"132" 300 34.8 37.3 39.8 6.2884 4.0198"133" 430 35.5 38 40.5 7.29 4.5765"134" 345 36 38.5 41 6.396 3.977"135" 456 40 42.5 45.5 7.28 4.3225"136" 510 40 42.5 45.5 6.825 4.459"137" 540 40.1 43 45.8 7.786 5.1296"138" 500 42 45 48 6.96 4.896"139" 567 43.2 46 48.7 7.792 4.87"140" 770 44.8 48 51.2 7.68 5.376"141" 950 48.3 51.7 55.1 8.9262 6.1712"142" 1250 52 56 59.7 10.6863 6.9849"143" 1600 56 60 64 9.6 6.144"144" 1550 56 60 64 9.6 6.144"145" 1650 59 63.4 68 10.812 7.48"146" 6.7 9.3 9.8 10.8 1.7388 1.0476"147" 7.5 10 10.5 11.6 1.972 1.16"148" 7 10.1 10.6 11.6 1.7284 1.1484"149" 9.7 10.4 11 12 2.196 1.38"150" 9.8 10.7 11.2 12.4 2.0832 1.2772"151" 8.7 10.8 11.3 12.6 1.9782 1.2852"152" 10 11.3 11.8 13.1 2.2139 1.2838"153" 9.9 11.3 11.8 13.1 2.2139 1.1659"154" 9.8 11.4 12 13.2 2.2044 1.1484"155" 12.2 11.5 12.2 13.4 2.0904 1.3936"156" 13.4 11.7 12.4 13.5 2.43 1.269"157" 12.2 12.1 13 13.8 2.277 1.2558"158" 19.7 13.2 14.3 15.2 2.8728 2.0672"159" 19.9 13.8 15 16.2 2.9322 1.8792
Thomas Edison State College Null and Alternative Hypothesis Worksheet
Devise a null and alternative hypothesis, then perform a one sample z-test using alpha=0.05 if our class is taller or shor ...
Thomas Edison State College Null and Alternative Hypothesis Worksheet
Devise a null and alternative hypothesis, then perform a one sample z-test using alpha=0.05 if our class is taller or shorter than the average human in the United States. Graphically display your answer and statistically write up results. In addition, determine the effect size of this relationship and interpret.Notes:The average height of adults in the United States is 67.0±3.8 inches. (Note: this is a population SD)Calculate and interpret the effect size (use Cohen’s d):Cohen's d = (Msample - µpopulation) ⁄ σ)Devise a null and alternative hypothesis, then perform a t-test using alpha =0.05 if the students in our class that are born in warm weather months are taller or shorter than those born in cold weather months. Graphically display your answer and statistically write up results. In addition, determine the effect size of this relationship and interpret.Notes:Population SDs are unknown.Assume the northern hemisphere:Warm months = April, May, June, July, August, SeptemberCold months = October, November, December, January, February, MarchUse Cohen’s d effect size:Cohen’s d = (M2 - M1) ⁄ SDpooled) where SDpooled = √((SD12 + SD22) ⁄ 2)
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29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, r ...
29/200 donors have hypertension - confidence and proportion based on this data:
During a blood-donor program conducted during finals week for college students, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. All answers to three places after the decimal. (I did most of these questions already, there are just a few I cannot solve. I starred the ones I have not solved and put the answers next to the question that I already answered. I only really need 2 out of 9. A 95% confidence interval for the true proportion of college students with hypertension during finals week is (____,____). (0.096, 0.1938)We can be 80% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.03187)Unless our sample (of 200 donors) is among the most unusual 10% of samples, the true proportion of college students with hypertension during finals week is between (_____) and (_____). (0.104, 0.186)The probability, at 60% confidence, that a given college donor will have hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.210)* Assuming our sample of donors is among the most typical half of such samples, the true proportion of college students with hypertension during finals week is between (______) and (______). (not sure) *We are 99% confident that the true proportion of college students with hypertension during finals week is (_____) with a margin of error of (_____). (0.145, 0.064)Assuming our sample of donors is among the most typical 99.9% of such samples, the true proportion of college students with hypertension during finals week is (_____) and (_____). (0.063, 0.227)* Covering the worst-case scenario, how many donors must we examine in order to be 95% confident that we have the margin of error as small as 0.01? (_____). (not sure) *Using a prior estimate of 15% of college-age students having hypertension, how many donors must we examine in order to be 99% confident that we have the margin of error as small as 0.01? (_____). (8,487)
12 pages
Psychology Study
A cross-sectional study was conducted to predict the self-esteem of children from 4th grade till 7th -grade children based ...
Psychology Study
A cross-sectional study was conducted to predict the self-esteem of children from 4th grade till 7th -grade children based on their body image and ...
Abraham Lincoln University Standard Deviation and Stock Market Data Discussion
Use the Excel file General-Electric and upload it to SPSS. This file contains GE’s daily stock market data covering the ...
Abraham Lincoln University Standard Deviation and Stock Market Data Discussion
Use the Excel file General-Electric and upload it to SPSS. This file contains GE’s daily stock market data covering the period of 12/13/2010 to 12/11/2018. The file contains a total of 2013 daily transaction records including date, opening price of the GE stock for the day, highest price, lowest price, closing price, closing price adjusted for dividends, and the number of stocks traded (volume).1- Use the explore command in SPSS and explain whether the trading volume of the stock is normally distributed. Make sure to discuss, Skewness, kurtosis, results from test of normality as well as the Q-Q plots.2- Select a random Sample of exactly 125 observations. Then run the descriptive command and calculate the mean and standard deviation of the sample. Repeat this process (i.e., selection of a random sample and descriptive command) exactly 50 times. Hint: Use SPSS syntax to repeat the command. List both values (mean and the standard deviation) in a new excel file with proper column headings.3- Upload the newly created excel file into SPSS and create a histogram of both the calculated means and standard deviations.4- Run the explore command similar to what you did in step 1 for both variables and make your observations. Does the Central Limit Theorem (CLT) apply to both measurements?5- Suppose you believe that the true average daily trade volume for General Electric stock is 49,829,719 shares. Based on a recent sample you have also calculated a standard deviation of 21,059,637 shares. Considering a 95% confidence level, what is the minimum required sample size if you like your sampling error to be limited to 10,000,000 shares. What sample size would offer a sampling error of not more than 20,000,000 shares? Assuming N=2013 represents the total population size, how will your calculations change for the finite sample?6- Is there a statistically significant difference between the average trading volume in 2017 and 2018? Hint: While technically, this can be carried out as a pared sample t-test since volume data are reported for the same stock, we will treat this as independent samples. Complete your calculations by hand assuming M2017=46108055, S2017=34099055, n2017=251, M2018= 87241844, S2018=50977722, n2018=238.Repeat the test, this time by using SPSS. Hint: Create a new grouping variable for 2017 and 2018 and use it to run your test.
University of Wisconsin Milwaukee Regression Analysis R Code on R Studio Problems
Regression Analysis. Show all work and output to all code. I dont need just output, i need it to show how to use the outpu ...
University of Wisconsin Milwaukee Regression Analysis R Code on R Studio Problems
Regression Analysis. Show all work and output to all code. I dont need just output, i need it to show how to use the output.- You only need to do the LOF test for the reduced model on the project. All kinds of problems arise when you try to do it for the full model.- In the Fish set data, the weight is measured in grams. Everything else is measured in centimeters- First, for the lack of fit test, it would seem that a lot of you are running into an issue that I had not, but I am not sure why. If you do the lack of fit test for the full model, I am having a lot of people say that R gives a fatal error. This looks to be due to exceeding memory limitations when everything is broken down into factors. The remedy to this seems to be that we should do the LOF test only for the reduced model, so just do that.Using the “Fish.txt” data set, specify and completely analyze a multiple linear regression model that relates
weight to length1, length2, length3, height, and width. Carry out a full analysis of the model, including tests
for each coefficient (with the significance level adjusted for multiple tests) and confidence intervals for each
coefficient. If any are not significant to the model, drop them, fit the reduced model, and repeat the full
analysis. Do not forget to examine multicollinearity among predictors, and for each model you fit, carry out a
formal test for a lack of fit.Fish.txt :"Weight" "Length1" "Length2" "Length3" "Height" "Width""1" 242 23.2 25.4 30 11.52 4.02"2" 290 24 26.3 31.2 12.48 4.3056"3" 340 23.9 26.5 31.1 12.3778 4.6961"4" 363 26.3 29 33.5 12.73 4.4555"5" 430 26.5 29 34 12.444 5.134"6" 450 26.8 29.7 34.7 13.6024 4.9274"7" 500 26.8 29.7 34.5 14.1795 5.2785"8" 390 27.6 30 35 12.67 4.69"9" 450 27.6 30 35.1 14.0049 4.8438"10" 500 28.5 30.7 36.2 14.2266 4.9594"11" 475 28.4 31 36.2 14.2628 5.1042"12" 500 28.7 31 36.2 14.3714 4.8146"13" 500 29.1 31.5 36.4 13.7592 4.368"14" 340 29.5 32 37.3 13.9129 5.0728"15" 600 29.4 32 37.2 14.9544 5.1708"16" 600 29.4 32 37.2 15.438 5.58"17" 700 30.4 33 38.3 14.8604 5.2854"18" 700 30.4 33 38.5 14.938 5.1975"19" 610 30.9 33.5 38.6 15.633 5.1338"20" 650 31 33.5 38.7 14.4738 5.7276"21" 575 31.3 34 39.5 15.1285 5.5695"22" 685 31.4 34 39.2 15.9936 5.3704"23" 620 31.5 34.5 39.7 15.5227 5.2801"24" 680 31.8 35 40.6 15.4686 6.1306"25" 700 31.9 35 40.5 16.2405 5.589"26" 725 31.8 35 40.9 16.36 6.0532"27" 720 32 35 40.6 16.3618 6.09"28" 714 32.7 36 41.5 16.517 5.8515"29" 850 32.8 36 41.6 16.8896 6.1984"30" 1000 33.5 37 42.6 18.957 6.603"31" 920 35 38.5 44.1 18.0369 6.3063"32" 955 35 38.5 44 18.084 6.292"33" 925 36.2 39.5 45.3 18.7542 6.7497"34" 975 37.4 41 45.9 18.6354 6.7473"35" 950 38 41 46.5 17.6235 6.3705"36" 40 12.9 14.1 16.2 4.1472 2.268"37" 69 16.5 18.2 20.3 5.2983 2.8217"38" 78 17.5 18.8 21.2 5.5756 2.9044"39" 87 18.2 19.8 22.2 5.6166 3.1746"40" 120 18.6 20 22.2 6.216 3.5742"41" 0 19 20.5 22.8 6.4752 3.3516"42" 110 19.1 20.8 23.1 6.1677 3.3957"43" 120 19.4 21 23.7 6.1146 3.2943"44" 150 20.4 22 24.7 5.8045 3.7544"45" 145 20.5 22 24.3 6.6339 3.5478"46" 160 20.5 22.5 25.3 7.0334 3.8203"47" 140 21 22.5 25 6.55 3.325"48" 160 21.1 22.5 25 6.4 3.8"49" 169 22 24 27.2 7.5344 3.8352"50" 161 22 23.4 26.7 6.9153 3.6312"51" 200 22.1 23.5 26.8 7.3968 4.1272"52" 180 23.6 25.2 27.9 7.0866 3.906"53" 290 24 26 29.2 8.8768 4.4968"54" 272 25 27 30.6 8.568 4.7736"55" 390 29.5 31.7 35 9.485 5.355"56" 270 23.6 26 28.7 8.3804 4.2476"57" 270 24.1 26.5 29.3 8.1454 4.2485"58" 306 25.6 28 30.8 8.778 4.6816"59" 540 28.5 31 34 10.744 6.562"60" 800 33.7 36.4 39.6 11.7612 6.5736"61" 1000 37.3 40 43.5 12.354 6.525"62" 55 13.5 14.7 16.5 6.8475 2.3265"63" 60 14.3 15.5 17.4 6.5772 2.3142"64" 90 16.3 17.7 19.8 7.4052 2.673"65" 120 17.5 19 21.3 8.3922 2.9181"66" 150 18.4 20 22.4 8.8928 3.2928"67" 140 19 20.7 23.2 8.5376 3.2944"68" 170 19 20.7 23.2 9.396 3.4104"69" 145 19.8 21.5 24.1 9.7364 3.1571"70" 200 21.2 23 25.8 10.3458 3.6636"71" 273 23 25 28 11.088 4.144"72" 300 24 26 29 11.368 4.234"73" 5.9 7.5 8.4 8.8 2.112 1.408"74" 32 12.5 13.7 14.7 3.528 1.9992"75" 40 13.8 15 16 3.824 2.432"76" 51.5 15 16.2 17.2 4.5924 2.6316"77" 70 15.7 17.4 18.5 4.588 2.9415"78" 100 16.2 18 19.2 5.2224 3.3216"79" 78 16.8 18.7 19.4 5.1992 3.1234"80" 80 17.2 19 20.2 5.6358 3.0502"81" 85 17.8 19.6 20.8 5.1376 3.0368"82" 85 18.2 20 21 5.082 2.772"83" 110 19 21 22.5 5.6925 3.555"84" 115 19 21 22.5 5.9175 3.3075"85" 125 19 21 22.5 5.6925 3.6675"86" 130 19.3 21.3 22.8 6.384 3.534"87" 120 20 22 23.5 6.11 3.4075"88" 120 20 22 23.5 5.64 3.525"89" 130 20 22 23.5 6.11 3.525"90" 135 20 22 23.5 5.875 3.525"91" 110 20 22 23.5 5.5225 3.995"92" 130 20.5 22.5 24 5.856 3.624"93" 150 20.5 22.5 24 5.856 3.624"94" 145 20.7 22.7 24.2 5.9532 3.63"95" 150 21 23 24.5 5.2185 3.626"96" 170 21.5 23.5 25 6.275 3.725"97" 225 22 24 25.5 7.293 3.723"98" 145 22 24 25.5 6.375 3.825"99" 188 22.6 24.6 26.2 6.7334 4.1658"100" 180 23 25 26.5 6.4395 3.6835"101" 197 23.5 25.6 27 6.561 4.239"102" 218 25 26.5 28 7.168 4.144"103" 300 25.2 27.3 28.7 8.323 5.1373"104" 260 25.4 27.5 28.9 7.1672 4.335"105" 265 25.4 27.5 28.9 7.1672 4.335"106" 250 25.4 27.5 28.9 7.2828 4.5662"107" 250 25.9 28 29.4 7.8204 4.2042"108" 300 26.9 28.7 30.1 7.5852 4.6354"109" 320 27.8 30 31.6 7.6156 4.7716"110" 514 30.5 32.8 34 10.03 6.018"111" 556 32 34.5 36.5 10.2565 6.3875"112" 840 32.5 35 37.3 11.4884 7.7957"113" 685 34 36.5 39 10.881 6.864"114" 700 34 36 38.3 10.6091 6.7408"115" 700 34.5 37 39.4 10.835 6.2646"116" 690 34.6 37 39.3 10.5717 6.3666"117" 900 36.5 39 41.4 11.1366 7.4934"118" 650 36.5 39 41.4 11.1366 6.003"119" 820 36.6 39 41.3 12.4313 7.3514"120" 850 36.9 40 42.3 11.9286 7.1064"121" 900 37 40 42.5 11.73 7.225"122" 1015 37 40 42.4 12.3808 7.4624"123" 820 37.1 40 42.5 11.135 6.63"124" 1100 39 42 44.6 12.8002 6.8684"125" 1000 39.8 43 45.2 11.9328 7.2772"126" 1100 40.1 43 45.5 12.5125 7.4165"127" 1000 40.2 43.5 46 12.604 8.142"128" 1000 41.1 44 46.6 12.4888 7.5958"129" 200 30 32.3 34.8 5.568 3.3756"130" 300 31.7 34 37.8 5.7078 4.158"131" 300 32.7 35 38.8 5.9364 4.3844"132" 300 34.8 37.3 39.8 6.2884 4.0198"133" 430 35.5 38 40.5 7.29 4.5765"134" 345 36 38.5 41 6.396 3.977"135" 456 40 42.5 45.5 7.28 4.3225"136" 510 40 42.5 45.5 6.825 4.459"137" 540 40.1 43 45.8 7.786 5.1296"138" 500 42 45 48 6.96 4.896"139" 567 43.2 46 48.7 7.792 4.87"140" 770 44.8 48 51.2 7.68 5.376"141" 950 48.3 51.7 55.1 8.9262 6.1712"142" 1250 52 56 59.7 10.6863 6.9849"143" 1600 56 60 64 9.6 6.144"144" 1550 56 60 64 9.6 6.144"145" 1650 59 63.4 68 10.812 7.48"146" 6.7 9.3 9.8 10.8 1.7388 1.0476"147" 7.5 10 10.5 11.6 1.972 1.16"148" 7 10.1 10.6 11.6 1.7284 1.1484"149" 9.7 10.4 11 12 2.196 1.38"150" 9.8 10.7 11.2 12.4 2.0832 1.2772"151" 8.7 10.8 11.3 12.6 1.9782 1.2852"152" 10 11.3 11.8 13.1 2.2139 1.2838"153" 9.9 11.3 11.8 13.1 2.2139 1.1659"154" 9.8 11.4 12 13.2 2.2044 1.1484"155" 12.2 11.5 12.2 13.4 2.0904 1.3936"156" 13.4 11.7 12.4 13.5 2.43 1.269"157" 12.2 12.1 13 13.8 2.277 1.2558"158" 19.7 13.2 14.3 15.2 2.8728 2.0672"159" 19.9 13.8 15 16.2 2.9322 1.8792
Thomas Edison State College Null and Alternative Hypothesis Worksheet
Devise a null and alternative hypothesis, then perform a one sample z-test using alpha=0.05 if our class is taller or shor ...
Thomas Edison State College Null and Alternative Hypothesis Worksheet
Devise a null and alternative hypothesis, then perform a one sample z-test using alpha=0.05 if our class is taller or shorter than the average human in the United States. Graphically display your answer and statistically write up results. In addition, determine the effect size of this relationship and interpret.Notes:The average height of adults in the United States is 67.0±3.8 inches. (Note: this is a population SD)Calculate and interpret the effect size (use Cohen’s d):Cohen's d = (Msample - µpopulation) ⁄ σ)Devise a null and alternative hypothesis, then perform a t-test using alpha =0.05 if the students in our class that are born in warm weather months are taller or shorter than those born in cold weather months. Graphically display your answer and statistically write up results. In addition, determine the effect size of this relationship and interpret.Notes:Population SDs are unknown.Assume the northern hemisphere:Warm months = April, May, June, July, August, SeptemberCold months = October, November, December, January, February, MarchUse Cohen’s d effect size:Cohen’s d = (M2 - M1) ⁄ SDpooled) where SDpooled = √((SD12 + SD22) ⁄ 2)
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