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patient | without drug | with drug | difference |
1 | 3.4 | 4.6 | 1.2 |
2 | 5.4 | 6.8 | 1.4 |
3 | 6.6 | 7.7 | 1.1 |
4 | 3.5 | 6.5 | 3 |
5 | 6.9 | 7.8 | 0.9 |
6 | 5 | 6.2 | 1.2 |
7 | 5.5 | 8.2 | 2.7 |
8 | 2.7 | 4.3 | 1.6 |
9 | 6.1 | 8.1 | 2 |
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Week Hsa 543 Home Work 3 3
Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first see ...
Week Hsa 543 Home Work 3 3
Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first sees the receptionist, who ...
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the f ...
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the following hypotheses, H0H0: μ=4.73μ=4.73 and HaHa: μ<4.73μ<4.73 (where μμ is the mean number of alcoholic drinks consumed by students at a liberal arts college).In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test.μμ: Mean of variableH0H0: μ=4.73μ=4.73HAHA: μ≠4.73μ≠4.73Hypothesis test resultsVariableSample MeanStd. Err.DFT-StatP-valuenumber of drinks per week3.9333333 0.43592434 74 -1.8275343 0.0717 Using this context and the StatCrunch output, explain the meaning of each of the following.Std. Err (standard error)T-stat (T-score)P-valueIn a previous matched pairs lab we tested the following hypotheses, where μμ is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.Paired T hypothesis test:μD=μ1−μ2μD=μ1−μ2: Mean of the difference between Regular seed and Kiln-dried seedH0H0: μD=0μD=0HAHA: μD<0μD<0Module 22 - Matched Pairs Lab (14 of 19 groupwork 2)New AttemptPromptState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.
2 pages
STA3215 Rasmussen Mod 3 Statistics Consumer Advocacy Group Quiz
Find the critical value or values of χ2 based on the given information. An article in a journal reports that 34% of Ameri ...
STA3215 Rasmussen Mod 3 Statistics Consumer Advocacy Group Quiz
Find the critical value or values of χ2 based on the given information. An article in a journal reports that 34% of American fathers take no ...
MM 305 PGU Business Statistics and Quantitative Analysis
Read a classmate’s response. Consider investing in your classmate’s stock and assume that the daily change is normally ...
MM 305 PGU Business Statistics and Quantitative Analysis
Read a classmate’s response. Consider investing in your classmate’s stock and assume that the daily change is normally distributed. Using the Normal Distribution Excel template found in Unit 4 LiveBinder, your classmate’s mean and standard deviation, determine the probability for the daily change of this stock to have: 1. A decrease of 0.5 point or more (X ≤ -0.5)? 2. An increase of more than 0.5 point (X > 0.5)? 3. A decrease of 1 point or more (X ≤ -1)? 4. An increase of more than 1 point (X > 1)Adjust automatic marking as read settingI chose the stock for Xcel Energy, Inc.The daily change of this stock is:DateOpenHighLowCloseAdj CloseVolumeDaily Change2/7/202069.4969.5468.768.7168.267842316900-0.782/10/202068.9169.1268.5469.0668.6155923063000.1499942/11/202069.0669.2368.8468.9668.516232176200-0.12/12/202068.7569.2568.5569.0368.5857820325000.2799992/13/202069.0869.8968.9269.8269.3706924307000.7399982/14/202069.9970.469.7770.2669.8078619594000.2700042/18/202070.6371.4370.5771.1670.7020735522000.5300072/19/202070.9471.2470.7770.7970.334452284500-0.152/20/202070.7470.9970.1970.6770.215232243900-0.072/21/202070.7271.4270.4470.8270.3642635636000.0999992/24/202071.6972.1470.2270.3769.917163531000-1.322/25/202070.4870.6568.7368.8468.3973581800-1.640012/26/202069.3269.4968.3268.3567.910153060200-0.972/27/202068.3368.6764.8164.8564.432684225400-3.482/28/202064.0864.0861.2562.3261.918967762100-1.763/2/202062.2265.9962.1565.8765.4461151178003.6500023/3/202065.4267.4665.265.7165.2871454252000.2900013/4/202066.5369.4166.0669.268.7546834542002.6699983/5/202067.8470.0267.4569.2568.8043658718001.4100043/6/202066.5170.1666.2370.1569.6985766894003.643/9/202066.3669.9965.367.9967.5524798852001.6299973/10/202068.5570.6866.168.4968.049258897400-0.060013/11/202067.0368.2365.6366.8266.395815100-0.213/12/202063.0666.9859.5761.2961.297310900-1.773/13/202063.3766.856166.8466.8457247003.4699973/16/202060.866757.4158.3658.367884300-2.53/17/202059.7467.2659.6464.9364.9389593005.1899983/18/202061.496457.6761.3761.376690300-0.123/19/202061.5362.4857.2457.9957.996840300-3.543/20/20205959.1550.0350.6350.639147400-8.37The descriptive statistics summary table:Daily Change Mean-0.0940006Standard Error0.469059349Median-0.0650025Mode#N/AStandard Deviation2.569143864Sample Variance6.600500194Kurtosis2.919792966Skewness-0.759032478Range13.559997Minimum-8.369999Maximum5.189998Sum-2.820018Count30Here is my 5-Number Summary:Five Number SummaryMinimum-8.37First quartile-1.2325Median-0.065Third quartile0.6875Maximum5.189998The Box & Whiskers Plot does not look very symmetricThe Mean, Xbar= -0.094 < Median -0.065From this information and also the box plot, you can tell my daily stock price is not symmetric but instead slightly left-skewed.
Do a Linear Project on a basketball 1/4 of a season or a whole season
For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the l ...
Do a Linear Project on a basketball 1/4 of a season or a whole season
For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports basketball preferable unless a discussion with me for a different idea. Attached are the documents on the project, tips on the project, and a project example
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Most Popular Content
6 pages
Week Hsa 543 Home Work 3 3
Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first see ...
Week Hsa 543 Home Work 3 3
Using the follow narrative, create a general system flow chart. When a patient arrives at the clinic the patient first sees the receptionist, who ...
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the f ...
MATH 160 Cuyamaca College Hypothesis Test for a Population Mean Question
Module 22 - Hypothesis Test for a Population Mean (17 of 19 groupwork 3)New AttemptPromptIn a previous lab we tested the following hypotheses, H0H0: μ=4.73μ=4.73 and HaHa: μ<4.73μ<4.73 (where μμ is the mean number of alcoholic drinks consumed by students at a liberal arts college).In a random sample of 75 students, the mean was 3.93 alcoholic drinks consumed in a week. Here is the StatCrunch output from the hypothesis test.μμ: Mean of variableH0H0: μ=4.73μ=4.73HAHA: μ≠4.73μ≠4.73Hypothesis test resultsVariableSample MeanStd. Err.DFT-StatP-valuenumber of drinks per week3.9333333 0.43592434 74 -1.8275343 0.0717 Using this context and the StatCrunch output, explain the meaning of each of the following.Std. Err (standard error)T-stat (T-score)P-valueIn a previous matched pairs lab we tested the following hypotheses, where μμ is the mean of the differences in corn yield for a plot of land (regular seed minus kiln-dried): H0: µ = 0 and Ha: µ < 0. In a random sample of 11 seeds of each type, the mean of the differences in the sample was -33.7. Here is a StatCrunch print-out of the hypothesis test.Paired T hypothesis test:μD=μ1−μ2μD=μ1−μ2: Mean of the difference between Regular seed and Kiln-dried seedH0H0: μD=0μD=0HAHA: μD<0μD<0Module 22 - Matched Pairs Lab (14 of 19 groupwork 2)New AttemptPromptState the hypotheses and define the parameter.Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.But first you will need to review the dotplots for the data (opens in a new tab).
Which graph is used to check conditions? Why?What do we look for in the graph to verify that conditions are met?What else do we need to know about the sample of seeds before using the T-test?Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular − kiln-dried . So you will choose Regular seed for Sample 1 and kiln-dried seed for Sample 2. (directions)Copy and paste the information in the StatCrunch output window into your initial post.State a conclusion based on the context of this scenario.
2 pages
STA3215 Rasmussen Mod 3 Statistics Consumer Advocacy Group Quiz
Find the critical value or values of χ2 based on the given information. An article in a journal reports that 34% of Ameri ...
STA3215 Rasmussen Mod 3 Statistics Consumer Advocacy Group Quiz
Find the critical value or values of χ2 based on the given information. An article in a journal reports that 34% of American fathers take no ...
MM 305 PGU Business Statistics and Quantitative Analysis
Read a classmate’s response. Consider investing in your classmate’s stock and assume that the daily change is normally ...
MM 305 PGU Business Statistics and Quantitative Analysis
Read a classmate’s response. Consider investing in your classmate’s stock and assume that the daily change is normally distributed. Using the Normal Distribution Excel template found in Unit 4 LiveBinder, your classmate’s mean and standard deviation, determine the probability for the daily change of this stock to have: 1. A decrease of 0.5 point or more (X ≤ -0.5)? 2. An increase of more than 0.5 point (X > 0.5)? 3. A decrease of 1 point or more (X ≤ -1)? 4. An increase of more than 1 point (X > 1)Adjust automatic marking as read settingI chose the stock for Xcel Energy, Inc.The daily change of this stock is:DateOpenHighLowCloseAdj CloseVolumeDaily Change2/7/202069.4969.5468.768.7168.267842316900-0.782/10/202068.9169.1268.5469.0668.6155923063000.1499942/11/202069.0669.2368.8468.9668.516232176200-0.12/12/202068.7569.2568.5569.0368.5857820325000.2799992/13/202069.0869.8968.9269.8269.3706924307000.7399982/14/202069.9970.469.7770.2669.8078619594000.2700042/18/202070.6371.4370.5771.1670.7020735522000.5300072/19/202070.9471.2470.7770.7970.334452284500-0.152/20/202070.7470.9970.1970.6770.215232243900-0.072/21/202070.7271.4270.4470.8270.3642635636000.0999992/24/202071.6972.1470.2270.3769.917163531000-1.322/25/202070.4870.6568.7368.8468.3973581800-1.640012/26/202069.3269.4968.3268.3567.910153060200-0.972/27/202068.3368.6764.8164.8564.432684225400-3.482/28/202064.0864.0861.2562.3261.918967762100-1.763/2/202062.2265.9962.1565.8765.4461151178003.6500023/3/202065.4267.4665.265.7165.2871454252000.2900013/4/202066.5369.4166.0669.268.7546834542002.6699983/5/202067.8470.0267.4569.2568.8043658718001.4100043/6/202066.5170.1666.2370.1569.6985766894003.643/9/202066.3669.9965.367.9967.5524798852001.6299973/10/202068.5570.6866.168.4968.049258897400-0.060013/11/202067.0368.2365.6366.8266.395815100-0.213/12/202063.0666.9859.5761.2961.297310900-1.773/13/202063.3766.856166.8466.8457247003.4699973/16/202060.866757.4158.3658.367884300-2.53/17/202059.7467.2659.6464.9364.9389593005.1899983/18/202061.496457.6761.3761.376690300-0.123/19/202061.5362.4857.2457.9957.996840300-3.543/20/20205959.1550.0350.6350.639147400-8.37The descriptive statistics summary table:Daily Change Mean-0.0940006Standard Error0.469059349Median-0.0650025Mode#N/AStandard Deviation2.569143864Sample Variance6.600500194Kurtosis2.919792966Skewness-0.759032478Range13.559997Minimum-8.369999Maximum5.189998Sum-2.820018Count30Here is my 5-Number Summary:Five Number SummaryMinimum-8.37First quartile-1.2325Median-0.065Third quartile0.6875Maximum5.189998The Box & Whiskers Plot does not look very symmetricThe Mean, Xbar= -0.094 < Median -0.065From this information and also the box plot, you can tell my daily stock price is not symmetric but instead slightly left-skewed.
Do a Linear Project on a basketball 1/4 of a season or a whole season
For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the l ...
Do a Linear Project on a basketball 1/4 of a season or a whole season
For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports basketball preferable unless a discussion with me for a different idea. Attached are the documents on the project, tips on the project, and a project example
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