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Statistics

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STAT 6210

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DATA ANALYSIS 1

DATA ANALYSIS USING SAS STUDIO

Name

Institution

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DATA ANALYSIS 2

Simple Inquiries

1. Number of incarcerated (not 0 time) exonerees (yes 0-time dummy v= 1, not 0-time, dummy v= 0)

Table 1

Table 1 shows that 1509 exonerees were incarcerated compared to 165 who did not spend 0 time in

prison.

2. Number of incarcerated exonerees serving one year or less

Table 2

About 146 exonerees served one year or less (see Table 1)

3. Number of incarcerated exonerees serving more than one year

Table 3

As expected, 1363 exonerees served more than one year.

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1 DATA ANALYSIS DATA ANALYSIS USING SAS STUDIO Name Institution 2 DATA ANALYSIS Simple Inquiries 1. Number of incarcerated (not 0 time) exonerees (yes 0-time dummy v= 1, not 0-time, dummy v= 0) Table 1 Table 1 shows that 1509 exonerees were incarcerated compared to 165 who did not spend 0 time in prison. 2. Number of incarcerated exonerees serving one year or less Table 2 About 146 exonerees served one year or less (see Table 1) 3. Number of incarcerated exonerees serving more than one year Table 3 As expected, 1363 exonerees served more than one year. DATA ANALYSIS 3 4. Number of total exonerees by race/gender Table 4 Table 4 is a cross-tabulation of total exonerees by race/gender. Based on the table, it is evident that Black males account for the largest number of exonerees (874), followed closely by Caucasian males (614) and Hispanic males (200). For females, most exonerees are Caucasian (109), followed by Black females (47) and Hispanic females (22). 5. Number of total incarcerated (not 0 time) by race/gender Table 5 DATA ANALYSIS 4 Table 5 shows the total number of incarcerated by race and gender. As expected, more black males were incarcerated (748), followed by Caucasian Males (765), Hispanic males (163) and Caucasian females. This pattern is consistent with the earlier pattern. 6. The average number of years lost by race/gender Table 6 Native Americans registered the highest average number of years lost (Female = 17.6, Male =9.55). Interesting ...
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New York Survey Data

We are hired to perform a survey on people living in New York city, the survey consists of the attitudes of the random sam ...

New York Survey Data

We are hired to perform a survey on people living in New York city, the survey consists of the attitudes of the random samples of people regarding how ...

MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock ...

MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock prices for Google and Amazon from 8/22/2017 to 8/22/2018. When we examine stock prices (or other financial assets) we often transform them into a (simple) return series. The return series are computed by the formula: (present price/past price) - 1. The dataset contains both stock prices and return series.1. Using R, construct time series (line) plots for both stock prices and return series. R functions ts.plot or plot can create the plot. Describe the patterns and compare the plots. 2. Based on the return series, can we claim that the mean Amazon return series is higher than that of Google?a. What would be an appropriate test of the claim above? Explain. b. Write the null and alternative hypotheses. c. Using R, perform the test. d. Write the decision in the problem context.Take the screenshots of the R graphs and output as well as the code. Paste them into a Word document along with your answers to the questions above. Clearly label the questions and answers. Submit the Word file in Canvas.

polynomial functions, algebra homework help

Estimate the zeros of the function shown in the graph below.{-2.9, -1, 0.8}{-2, 0}{-2, -1, 0}{-2.9, -1, -2 ...

polynomial functions, algebra homework help

Estimate the zeros of the function shown in the graph below.{-2.9, -1, 0.8}{-2, 0}{-2, -1, 0}{-2.9, -1, -2, 0.8=========================In the function shown in the chart below, at which values of x are there relative minima or maxima?xf(x)-3-2-22-100-212218352 2 and -2-3 and 3-2 and 0-3, 0, and 3============================In the function shown in the chart below, between what values of x would you find the zeros of the function?xf(x)-373-28-1-70-81-728373-1 and 0, 0 and 1-2 and -1, 1 and 2-7 and 8, -8 and -71 and -1============================Which of the following could be the graph of f(x) = x3 + x2 - 3x?A.B.C.D.================================================Estimate the relative maximums in the graph below.(1.3, 1.4) and (-0.6, 2.6)(-0.6, 2.6,), (0.5, 0.3), and (1.3, 1.4)(-1, 0) and (1.8, 0)(-1, 0), (0, 1), and (1.8, 0)====================Which of the following shows a graph that meets the following conditions.I. As x → ∞, f(x) → ∞ II. The degree of f(x) is odd III. the leading coefficient is positiveA.B.C.D.=====================================For the graph below, which of the following is true?I. As x → ∞, f(x) → ∞ II. As x → ∞, f(x) → -∞ III. As x → -∞, f(x) → ∞ IV. As x → -∞, f(x) → -∞ V. f(x) is odd VI. the leading coefficient is negativeI, III, and V are trueII, III, V, and VI are trueII, III, and V are trueII, IV, V, and VI are true====================================Find r(x + 1) if r(x) = x3 + x + 1x3 + 3x2 + 4x + 3x3 + 4x2 + 5x + 3x3 + 2x + 3x4 + x3 + x2 + 2x + 1=======================Find p(-4) if p(x) = x5 - x21040-10401008-1008============================What is the degree and leading coefficient of the polynomial below?6x3 + 3x4 = 2x2 - 2degree = 4, leading coefficient = 3degree = 3, leading coefficient = 6degree = 2, leading coefficient = 2degree = 0, leading coefficient = -2

the number of defective flash drives, statistics homework help

Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the la ...

the number of defective flash drives, statistics homework help

Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. The company’s operations manager believes that the number of defects produced by the process is less than seven defective flash drives per week. Use this online calculator (or any statistical package that you are comfortable with) to construct a hypothesis test to verify the operations manager’s claim. Your hypothesis test should include null and alternative hypotheses, a t test statistic value, a p value, a decision, and a conclusion. Submit a Word file that includes the hypothesis test.

FSU Number of Defectives Statistics Questions

1. You survey 1,000 families with 4 children. You assume the probability of having a boy child is the same has having a g ...

FSU Number of Defectives Statistics Questions

1. You survey 1,000 families with 4 children. You assume the probability of having a boy child is the same has having a girl child. How many families do you expect to have at least one boy? 2. You believe that the probability of a defective circuit is 0.025. Defects follow a binomial distribution. a. What are the expected number of defective circuits and the standard deviation of the number of defective circuits in a sample of 1,000 circuits? b. What is the probability that you find 5 defective circuits in a sample of 100 circuits? 3. On an exam, the mean grade is 85 and the standard deviation is 4. You decide to standardize the scores, transforming each score into a Z statistic. a. What is the Z statistic for a student with a grade of 90? b. What is the Z statistic for a student with a grade of 75? c. What is the probability that a student score was higher than 90? You will need a Z table to answer this question (you can find one on the Canvas page containing this assignment).4. X ~ N(μ=4, σ2 = 2). What is the probability that X is between 3.5 and 5.0, i.e., P(3.5 < X < 5) ?

Res 710 discussion posts

PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by ...

Res 710 discussion posts

PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size. Write a 250- to 300-word response to the following: What is the role of sample size in the calculation of confidence intervals? What factors might determine the size of an ideal sample in your dissertation study? Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc. PART 2. Reply in 150 or more words Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs? PART 3 Write a 250- to 300-word response to the following: How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response. PART 4 Reply In at least 150 words. When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?

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MIS445 Colorado State Google and Amazon Stock Return Analysis

In this CT assignment, we will use R software to analyze a dataset GoogleAmazonStock.xlsx.It contains daily closing stock prices for Google and Amazon from 8/22/2017 to 8/22/2018. When we examine stock prices (or other financial assets) we often transform them into a (simple) return series. The return series are computed by the formula: (present price/past price) - 1. The dataset contains both stock prices and return series.1. Using R, construct time series (line) plots for both stock prices and return series. R functions ts.plot or plot can create the plot. Describe the patterns and compare the plots. 2. Based on the return series, can we claim that the mean Amazon return series is higher than that of Google?a. What would be an appropriate test of the claim above? Explain. b. Write the null and alternative hypotheses. c. Using R, perform the test. d. Write the decision in the problem context.Take the screenshots of the R graphs and output as well as the code. Paste them into a Word document along with your answers to the questions above. Clearly label the questions and answers. Submit the Word file in Canvas.

polynomial functions, algebra homework help

Estimate the zeros of the function shown in the graph below.{-2.9, -1, 0.8}{-2, 0}{-2, -1, 0}{-2.9, -1, -2 ...

polynomial functions, algebra homework help

Estimate the zeros of the function shown in the graph below.{-2.9, -1, 0.8}{-2, 0}{-2, -1, 0}{-2.9, -1, -2, 0.8=========================In the function shown in the chart below, at which values of x are there relative minima or maxima?xf(x)-3-2-22-100-212218352 2 and -2-3 and 3-2 and 0-3, 0, and 3============================In the function shown in the chart below, between what values of x would you find the zeros of the function?xf(x)-373-28-1-70-81-728373-1 and 0, 0 and 1-2 and -1, 1 and 2-7 and 8, -8 and -71 and -1============================Which of the following could be the graph of f(x) = x3 + x2 - 3x?A.B.C.D.================================================Estimate the relative maximums in the graph below.(1.3, 1.4) and (-0.6, 2.6)(-0.6, 2.6,), (0.5, 0.3), and (1.3, 1.4)(-1, 0) and (1.8, 0)(-1, 0), (0, 1), and (1.8, 0)====================Which of the following shows a graph that meets the following conditions.I. As x → ∞, f(x) → ∞ II. The degree of f(x) is odd III. the leading coefficient is positiveA.B.C.D.=====================================For the graph below, which of the following is true?I. As x → ∞, f(x) → ∞ II. As x → ∞, f(x) → -∞ III. As x → -∞, f(x) → ∞ IV. As x → -∞, f(x) → -∞ V. f(x) is odd VI. the leading coefficient is negativeI, III, and V are trueII, III, V, and VI are trueII, III, and V are trueII, IV, V, and VI are true====================================Find r(x + 1) if r(x) = x3 + x + 1x3 + 3x2 + 4x + 3x3 + 4x2 + 5x + 3x3 + 2x + 3x4 + x3 + x2 + 2x + 1=======================Find p(-4) if p(x) = x5 - x21040-10401008-1008============================What is the degree and leading coefficient of the polynomial below?6x3 + 3x4 = 2x2 - 2degree = 4, leading coefficient = 3degree = 3, leading coefficient = 6degree = 2, leading coefficient = 2degree = 0, leading coefficient = -2

the number of defective flash drives, statistics homework help

Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the la ...

the number of defective flash drives, statistics homework help

Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. The company’s operations manager believes that the number of defects produced by the process is less than seven defective flash drives per week. Use this online calculator (or any statistical package that you are comfortable with) to construct a hypothesis test to verify the operations manager’s claim. Your hypothesis test should include null and alternative hypotheses, a t test statistic value, a p value, a decision, and a conclusion. Submit a Word file that includes the hypothesis test.

FSU Number of Defectives Statistics Questions

1. You survey 1,000 families with 4 children. You assume the probability of having a boy child is the same has having a g ...

FSU Number of Defectives Statistics Questions

1. You survey 1,000 families with 4 children. You assume the probability of having a boy child is the same has having a girl child. How many families do you expect to have at least one boy? 2. You believe that the probability of a defective circuit is 0.025. Defects follow a binomial distribution. a. What are the expected number of defective circuits and the standard deviation of the number of defective circuits in a sample of 1,000 circuits? b. What is the probability that you find 5 defective circuits in a sample of 100 circuits? 3. On an exam, the mean grade is 85 and the standard deviation is 4. You decide to standardize the scores, transforming each score into a Z statistic. a. What is the Z statistic for a student with a grade of 90? b. What is the Z statistic for a student with a grade of 75? c. What is the probability that a student score was higher than 90? You will need a Z table to answer this question (you can find one on the Canvas page containing this assignment).4. X ~ N(μ=4, σ2 = 2). What is the probability that X is between 3.5 and 5.0, i.e., P(3.5 < X < 5) ?

Res 710 discussion posts

PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by ...

Res 710 discussion posts

PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size. Write a 250- to 300-word response to the following: What is the role of sample size in the calculation of confidence intervals? What factors might determine the size of an ideal sample in your dissertation study? Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc. PART 2. Reply in 150 or more words Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs? PART 3 Write a 250- to 300-word response to the following: How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response. PART 4 Reply In at least 150 words. When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?