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if the probability of an event is .79, the eventnot occurring
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I apologize, as I am not entirely sure what you are asking.
If the probability of an event is .79 this means that the percentage is 79% that it will occur. You can figure this by multiplying .79 by 100% to get a percentage.
Please let me know if you have further questions, as I know I was not entirely positive what you were asking. I am free to help. :)
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Abraham Lincoln University Wk 1 Economic Aspect of Statistics Discussion
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Abraham Lincoln University Wk 1 Economic Aspect of Statistics Discussion
Statistics are all around us, whether we notice them being used or not. From public policy, health, economics, science, and culture to which foods a fast-food restaurant is going to serve next can all be influenced by statistics. In this Discussion, you will apply the definitions of terminology learned this week. Every area of study has its own vocabulary and statistics is no exception. So, it may take some extra effort to master it.To prepare for this Discussion:Review the Week 1 Discussion ResourcesThink of a problem from your degree major that interests you. You will use this problem throughout the entire course, so choose carefully. There is an Application Index starting on page XIX of the textbook that might prove to be helpful. You might also look at the datasets in Statdisk for ideas, but don’t use any of them.Create a scenario for your problem and gather or make up data to include one qualitative and two quantitative variables relating to your scenario and 15 data values. Be sure to include the units of measurement for the variables.Review the rubric that will be used for grading.I will give an example of what is to be done
Multivariate Analysis of Variance, manova spss help
PLEASE FOLLOW THE INSTRUCTIONS LISTED AND USE THE SAME DATASET AND TEMPLATE FROM THE LAST ASSIGNMENT AND INCLUDE THE SAV F ...
Multivariate Analysis of Variance, manova spss help
PLEASE FOLLOW THE INSTRUCTIONS LISTED AND USE THE SAME DATASET AND TEMPLATE FROM THE LAST ASSIGNMENT AND INCLUDE THE SAV FILE:Multivariate Analysis
of Variance (MANOVA)This week, your
exploration of analysis of variance continues. MANOVA is yet another extension
of comparison of means tests. This week, you will be exposed to foundational,
one-way MANOVA models.MANOVA is similar to a
one-way ANOVA but with multiple outcome/dependent variables. The statistics
professor who is interested in different teaching methods could have three
different course types, each with a unique approach. As an outcome variable,
the professor may wish to examine mean differences in grade point average
(GPA), final test scores, and student anxiety. One could run three different
one-way ANOVA models but that would be cumbersome and could contribute to the
possibility of a type I error. With a one-way MANOVA, the comparison of means
could be performed in a single operation in statistical software.This week you explore
MANOVA, to see how it can serve as a basic building block to extend your
statistical testing to other applications. For example, just like adding a
covariate built on the one-way ANOVA to create an ANCOVA, adding a covariate
will create a MANCOVA model. You can also add additional factors, which will
give you a factorial MANOVA. MANOVA in SPSS Earlier this week, you practiced using MANOVA
models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and
otherwise address any questions you had. In this Assignment, you apply what you
learned to answer a social research question using MANOVA.To prepare
Review the dataset provided.
Construct a research question based on one of those
datasets.
Pay attention to the assumptions of this test, and ask,
“Does it make sense to interpret the mean of this dependent variable?”
Use SPSS to answer the
research question you constructed. Then, compose a 1- to 2-paragraph analysis
in APA format in which you answer the following questions:1.What is the null hypothesis for your question?2.What research design(s) would align with this question?3.What dependent variable was used and how is it measured?4.What independent variable is used and how is it measured?5.If you found significance, what is the strength of the effect?6.What is the answer to your research question?7.What are the possible implications of social change?Be sure to include your
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Harvard University Health Stats Worksheet
Question 2 What is the crude mortality rate?Age-GroupPopulationNumber of Deaths<3015,0002030-6517,00055>656,000155a. ...
Harvard University Health Stats Worksheet
Question 2 What is the crude mortality rate?Age-GroupPopulationNumber of Deaths<3015,0002030-6517,00055>656,000155a.230b.6.1 per 1,000c.8.6 per 1,000d.6.1 per 10,000Question 3 The age-specific death rate for the over-65 age group isAge-GroupPopulationNumber of Deaths<3015,0002030-6517,00055>656,000155a.155b.25.8 per 1,000c.1.55 per 10,000d.25.8 per 10,000Question 4 Calculate the relative risk of stroke of male smokers to male nonsmokersStrokeSmokersYesNoTotalYes1713,2643,435No1174,3204,437Total2887,5847,872a.1.54b.1.88c.2.08d.None of the above is correctQuestion 5 Calculate the odds ratio of having a stroke in men who smoke to those who do not smokeStrokeSmokersYesNoTotalYes1713,2643,435No1174,3204,437Total2887,5847,872a.1.93b.1.88c.1.78d.1.34Question 6 Is the following interpretation of the odds ratio true or false?The odds of having a stoke are 1.93 times higher in men who smoke than in men who do not smokeStrokeSmokersYesNoTotalYes1713,2643,435No1174,3204,437Total2887,5847,872 True FalseQuestion 7 A new type of test, Generation A, was given to 500 individuals with suspected diabetes, of whom 320 were actually found to have diabetes. 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The results of the examination are presented in the following table:Generation A ResultDiabetesTest ResultPresentAbsentPositive30050Negative20130Compute the positive and negative predictive values of the findings shown for the test.a.Positive Predictive value = 82.3% , Negative Predictive Value = 87.5%b.Positive Predictive value = 85.7% , Negative Predictive Value = 86.7%c.Positive Predictive value = 80.1% , Negative Predictive Value = 82.2%d.Positive Predictive value = 77.3% , Negative Predictive Value = 79.3%Question 9 From the following scatter plot, we can say that between y and x there is _______a.Perfect positive correlationb.Virtually no correlationc.Positive correlationd.Negative correlation7 points Question 10 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below.VariableDescriptionYnumber of days absent last fiscal yearx1commuting distance (in miles)x2employee's age (in years)x3length of employment at PPP (in years)CoefficientsStandard Errort Statisticp-valueIntercept6.5941463.2730052.0147070.047671x1-0.180190.141949-1.269390.208391x20.2681560.2606431.0288280.307005x3-2.310680.962056-2.401820.018896R=0.498191R2=0.248194Adj R2=0.192089se = 3.553858n = 73What is the regression equation based on this analysis?a.Y = 0.18 x1 + 0.27 x2 –0.51 x3 b.Y = 6.59 – 0.18 x1 + 0.27 x2 c.Y = 6.59 – 0.18 x1 + 0.27 x2 – 2.31x3 d.None of the aboveQuestion 11 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below.VariableDescriptionYnumber of days absent last fiscal yearx1commuting distance (in miles)x2employee's age (in years)x3length of employment at PPP (in years)CoefficientsStandard Errort Statisticp-valueIntercept6.5941463.2730052.0147070.047671x1-0.180190.141949-1.269390.208391x20.2681560.2606431.0288280.307005x3-2.310680.962056-2.401820.018896R=0.498191R2=0.248194Adj R2=0.192089se = 3.553858n = 73Which of the following interpretations is correct?a.For every additional year in the employee's age, the average number of absent days in the last year significantly (p-value<0.05) increases by 0.27 days. b.For every additional year in employee’s length of employment, the average number of absent days in the last year significantly (p-value<0.05) decreases by 0.51 days. c.None of the above is correct.6 points Question 12 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below.VariableDescriptionYnumber of days absent last fiscal yearx1commuting distance (in miles)x2employee's age (in years)x3length of employment at PPP (in years)CoefficientsStandard Errort Statisticp-valueIntercept6.5941463.2730052.0147070.047671x1-0.180190.141949-1.269390.208391x20.2681560.2606431.0288280.307005x3-2.310680.962056-2.401820.018896R=0.498191R2=0.248194Adj R2=0.192089se = 3.553858n = 73Which of the following statements is correct about the R2?a.The adjusted R2 value is 0.25. This means that the model explains around 25% of the variation in the average number of days absent in the last year. b.The adjusted R2 value is approximately 0.19. This means that the model explains around 19% of the variation in the average number of days absent in the last year. c.The adjusted R2 value is 0.50. This means that the model explains around 50% of the variation in the average number of days absent in the last year. d.None of the above is correct.Question 13 The following graph of a time-series data suggests a _______________ trend.a.linearb.quadraticc.cosined.tangential7 points Question 14 Fitting a linear trend to 36 monthly data points (January 2000 = 1, February 2000 =2, March 2000 = 3, etc.) produced the following tables.CoefficientsStandard Errort Statisticp-valueIntercept222.37967.358243.3014380.002221x9.0090663.174712.837760.00751dfSSMSFp-valueRegression1315319.3315319.38.0528850.007607Residual34133130639156.07Total351646626The projected trend value for January 2003 is ________.a.231.39b.555.71c.339.50d.447.766 points Question 15 Using a three-month moving average, the forecast value for November in the following time series is ____________.July5Aug11Sept13Oct6a.11.60b.10.00c.9.67d.8.606 points Question 16 When forecasting with exponential smoothing, data from previous periods is _________.a.given equal importanceb.given exponentially increasing importancec.ignoredd.given exponentially decreasing importanceQuestion 17A time series with forecast values and error terms is presented in the following table. The mean absolute deviation (MAD) for this forecast is ___________.
Center for Innovative Training and Education Statistics Packets Paper
I want you to answers all the questions in the packets. and please make sure to finish on time
Center for Innovative Training and Education Statistics Packets Paper
I want you to answers all the questions in the packets. and please make sure to finish on time
Inequalitys with absolute value
The table below gives recommended weight ranges for the balls from five different sports. (Hint: Find the average of each ...
Inequalitys with absolute value
The table below gives recommended weight ranges for the balls from five different sports. (Hint: Find the average of each weight.)SportWeight range of ball usedVolleyball260-280 gramsBasketball600-650 gramsWater Polo400-450 gramsLacrosse142-149 gramsFootball14-15 ouncesa. Write an absolute value inequality for the weight range of each ball.b. For each ball, write an absolute value inequality describing the weights of balls that are outside the recommended range.
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in f
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in feet) after t seconds i ...
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in f
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Abraham Lincoln University Wk 1 Economic Aspect of Statistics Discussion
Statistics are all around us, whether we notice them being used or not. From public policy, health, economics, science, an ...
Abraham Lincoln University Wk 1 Economic Aspect of Statistics Discussion
Statistics are all around us, whether we notice them being used or not. From public policy, health, economics, science, and culture to which foods a fast-food restaurant is going to serve next can all be influenced by statistics. In this Discussion, you will apply the definitions of terminology learned this week. Every area of study has its own vocabulary and statistics is no exception. So, it may take some extra effort to master it.To prepare for this Discussion:Review the Week 1 Discussion ResourcesThink of a problem from your degree major that interests you. You will use this problem throughout the entire course, so choose carefully. There is an Application Index starting on page XIX of the textbook that might prove to be helpful. You might also look at the datasets in Statdisk for ideas, but don’t use any of them.Create a scenario for your problem and gather or make up data to include one qualitative and two quantitative variables relating to your scenario and 15 data values. Be sure to include the units of measurement for the variables.Review the rubric that will be used for grading.I will give an example of what is to be done
Multivariate Analysis of Variance, manova spss help
PLEASE FOLLOW THE INSTRUCTIONS LISTED AND USE THE SAME DATASET AND TEMPLATE FROM THE LAST ASSIGNMENT AND INCLUDE THE SAV F ...
Multivariate Analysis of Variance, manova spss help
PLEASE FOLLOW THE INSTRUCTIONS LISTED AND USE THE SAME DATASET AND TEMPLATE FROM THE LAST ASSIGNMENT AND INCLUDE THE SAV FILE:Multivariate Analysis
of Variance (MANOVA)This week, your
exploration of analysis of variance continues. MANOVA is yet another extension
of comparison of means tests. This week, you will be exposed to foundational,
one-way MANOVA models.MANOVA is similar to a
one-way ANOVA but with multiple outcome/dependent variables. The statistics
professor who is interested in different teaching methods could have three
different course types, each with a unique approach. As an outcome variable,
the professor may wish to examine mean differences in grade point average
(GPA), final test scores, and student anxiety. One could run three different
one-way ANOVA models but that would be cumbersome and could contribute to the
possibility of a type I error. With a one-way MANOVA, the comparison of means
could be performed in a single operation in statistical software.This week you explore
MANOVA, to see how it can serve as a basic building block to extend your
statistical testing to other applications. For example, just like adding a
covariate built on the one-way ANOVA to create an ANCOVA, adding a covariate
will create a MANCOVA model. You can also add additional factors, which will
give you a factorial MANOVA. MANOVA in SPSS Earlier this week, you practiced using MANOVA
models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and
otherwise address any questions you had. In this Assignment, you apply what you
learned to answer a social research question using MANOVA.To prepare
Review the dataset provided.
Construct a research question based on one of those
datasets.
Pay attention to the assumptions of this test, and ask,
“Does it make sense to interpret the mean of this dependent variable?”
Use SPSS to answer the
research question you constructed. Then, compose a 1- to 2-paragraph analysis
in APA format in which you answer the following questions:1.What is the null hypothesis for your question?2.What research design(s) would align with this question?3.What dependent variable was used and how is it measured?4.What independent variable is used and how is it measured?5.If you found significance, what is the strength of the effect?6.What is the answer to your research question?7.What are the possible implications of social change?Be sure to include your
data output with your analysis.
Harvard University Health Stats Worksheet
Question 2 What is the crude mortality rate?Age-GroupPopulationNumber of Deaths<3015,0002030-6517,00055>656,000155a. ...
Harvard University Health Stats Worksheet
Question 2 What is the crude mortality rate?Age-GroupPopulationNumber of Deaths<3015,0002030-6517,00055>656,000155a.230b.6.1 per 1,000c.8.6 per 1,000d.6.1 per 10,000Question 3 The age-specific death rate for the over-65 age group isAge-GroupPopulationNumber of Deaths<3015,0002030-6517,00055>656,000155a.155b.25.8 per 1,000c.1.55 per 10,000d.25.8 per 10,000Question 4 Calculate the relative risk of stroke of male smokers to male nonsmokersStrokeSmokersYesNoTotalYes1713,2643,435No1174,3204,437Total2887,5847,872a.1.54b.1.88c.2.08d.None of the above is correctQuestion 5 Calculate the odds ratio of having a stroke in men who smoke to those who do not smokeStrokeSmokersYesNoTotalYes1713,2643,435No1174,3204,437Total2887,5847,872a.1.93b.1.88c.1.78d.1.34Question 6 Is the following interpretation of the odds ratio true or false?The odds of having a stoke are 1.93 times higher in men who smoke than in men who do not smokeStrokeSmokersYesNoTotalYes1713,2643,435No1174,3204,437Total2887,5847,872 True FalseQuestion 7 A new type of test, Generation A, was given to 500 individuals with suspected diabetes, of whom 320 were actually found to have diabetes. The results of the examination are presented in the following table:Generation A ResultDiabetesTest ResultPresentAbsentPositive30050Negative20130Compute the sensitivity and specificity of the findings shown for Test A.a.Sensitivity = 93.7%, Specificity = 72.2%b.Sensitivity = 96.7%, Specificity = 70.2%c.Sensitivity = 95.7%, Specificity = 76.2%d.Sensitivity = 91.7%, Specificity = 78.2%Question 8 A new type of test, Generation A, was given to 500 individuals with suspected diabetes, of whom 320 were actually found to have diabetes. The results of the examination are presented in the following table:Generation A ResultDiabetesTest ResultPresentAbsentPositive30050Negative20130Compute the positive and negative predictive values of the findings shown for the test.a.Positive Predictive value = 82.3% , Negative Predictive Value = 87.5%b.Positive Predictive value = 85.7% , Negative Predictive Value = 86.7%c.Positive Predictive value = 80.1% , Negative Predictive Value = 82.2%d.Positive Predictive value = 77.3% , Negative Predictive Value = 79.3%Question 9 From the following scatter plot, we can say that between y and x there is _______a.Perfect positive correlationb.Virtually no correlationc.Positive correlationd.Negative correlation7 points Question 10 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below.VariableDescriptionYnumber of days absent last fiscal yearx1commuting distance (in miles)x2employee's age (in years)x3length of employment at PPP (in years)CoefficientsStandard Errort Statisticp-valueIntercept6.5941463.2730052.0147070.047671x1-0.180190.141949-1.269390.208391x20.2681560.2606431.0288280.307005x3-2.310680.962056-2.401820.018896R=0.498191R2=0.248194Adj R2=0.192089se = 3.553858n = 73What is the regression equation based on this analysis?a.Y = 0.18 x1 + 0.27 x2 –0.51 x3 b.Y = 6.59 – 0.18 x1 + 0.27 x2 c.Y = 6.59 – 0.18 x1 + 0.27 x2 – 2.31x3 d.None of the aboveQuestion 11 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below.VariableDescriptionYnumber of days absent last fiscal yearx1commuting distance (in miles)x2employee's age (in years)x3length of employment at PPP (in years)CoefficientsStandard Errort Statisticp-valueIntercept6.5941463.2730052.0147070.047671x1-0.180190.141949-1.269390.208391x20.2681560.2606431.0288280.307005x3-2.310680.962056-2.401820.018896R=0.498191R2=0.248194Adj R2=0.192089se = 3.553858n = 73Which of the following interpretations is correct?a.For every additional year in the employee's age, the average number of absent days in the last year significantly (p-value<0.05) increases by 0.27 days. b.For every additional year in employee’s length of employment, the average number of absent days in the last year significantly (p-value<0.05) decreases by 0.51 days. c.None of the above is correct.6 points Question 12 A Director of Human Resources is exploring employee absenteeism at the INCOVA Hospital. A multiple linear regression analysis was performed using the following variables. The results are presented below.VariableDescriptionYnumber of days absent last fiscal yearx1commuting distance (in miles)x2employee's age (in years)x3length of employment at PPP (in years)CoefficientsStandard Errort Statisticp-valueIntercept6.5941463.2730052.0147070.047671x1-0.180190.141949-1.269390.208391x20.2681560.2606431.0288280.307005x3-2.310680.962056-2.401820.018896R=0.498191R2=0.248194Adj R2=0.192089se = 3.553858n = 73Which of the following statements is correct about the R2?a.The adjusted R2 value is 0.25. This means that the model explains around 25% of the variation in the average number of days absent in the last year. b.The adjusted R2 value is approximately 0.19. This means that the model explains around 19% of the variation in the average number of days absent in the last year. c.The adjusted R2 value is 0.50. This means that the model explains around 50% of the variation in the average number of days absent in the last year. d.None of the above is correct.Question 13 The following graph of a time-series data suggests a _______________ trend.a.linearb.quadraticc.cosined.tangential7 points Question 14 Fitting a linear trend to 36 monthly data points (January 2000 = 1, February 2000 =2, March 2000 = 3, etc.) produced the following tables.CoefficientsStandard Errort Statisticp-valueIntercept222.37967.358243.3014380.002221x9.0090663.174712.837760.00751dfSSMSFp-valueRegression1315319.3315319.38.0528850.007607Residual34133130639156.07Total351646626The projected trend value for January 2003 is ________.a.231.39b.555.71c.339.50d.447.766 points Question 15 Using a three-month moving average, the forecast value for November in the following time series is ____________.July5Aug11Sept13Oct6a.11.60b.10.00c.9.67d.8.606 points Question 16 When forecasting with exponential smoothing, data from previous periods is _________.a.given equal importanceb.given exponentially increasing importancec.ignoredd.given exponentially decreasing importanceQuestion 17A time series with forecast values and error terms is presented in the following table. The mean absolute deviation (MAD) for this forecast is ___________.
Center for Innovative Training and Education Statistics Packets Paper
I want you to answers all the questions in the packets. and please make sure to finish on time
Center for Innovative Training and Education Statistics Packets Paper
I want you to answers all the questions in the packets. and please make sure to finish on time
Inequalitys with absolute value
The table below gives recommended weight ranges for the balls from five different sports. (Hint: Find the average of each ...
Inequalitys with absolute value
The table below gives recommended weight ranges for the balls from five different sports. (Hint: Find the average of each weight.)SportWeight range of ball usedVolleyball260-280 gramsBasketball600-650 gramsWater Polo400-450 gramsLacrosse142-149 gramsFootball14-15 ouncesa. Write an absolute value inequality for the weight range of each ball.b. For each ball, write an absolute value inequality describing the weights of balls that are outside the recommended range.
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in f
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in feet) after t seconds i ...
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in f
If a ball is thrown directly upward with a velocity of 30 ft/s, its height (in feet) after t seconds is given by y = 30t − 16t2. What is the maximum height attained by the ball? (Round your answer to the nearest whole number.) ft
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