ELECTRICAL SUBMERSIBLE PUMP SURVIVAL ANALYSIS MICHELLE PFLUEGER Petroleum Engineer‚ Chevron Corp. & Masters Degree Candidate Advisor Dr. Jianhua Huang With help from PHD Candidate Sophia Chen Department of Statistics‚ Texas A&M‚ College Station MARCH 2011 ABSTRACT A common metric in Petroleum Engineering is “Mean Time Between Failures” or “Average Run Life”. It is used to characterize wells and artificial lift types‚ as a metric to compare production conditions‚ as well as a measure
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person had a blood sugar level of 240 mg/dL‚ causing the entire group’s average to be skewed. Therefore‚ 75% of the blood sugar levels of the people in the study were actually far below this average. A better average to use would have been the median blood sugar level (i.e.‚ the blood sugar level in the middle of the data range). The website should have reported how many people were included in the study. Four people do not accurately represent the entire population. Example 3: The data
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in predicting specific health issues and interventions needed to improve health care. The measure of variation produces a conclusion through the Tele-care monitoring system. The types of central tendency conducted in this study were the mean and median. The description of data in this study uses the five-number summary. Variables were also used to predict
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HCS/438 DQ’s Week 1: DQ1: What are the differences between descriptive and inferential statistics? According to Bennett (2009)‚ the biggest difference between descriptive and inferential statistics is that descriptive statistics "deals with describing raw data in the form of graphics and sample of statistics" and inferential statistics "deals with estimating population parameters from sample data." This means that inferential statistics would be an estimate because the data would be estimated
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Deviation 5.411 Minimum 14 Maximum 46 Range 32 Interquartile Range 7 Skewness .819 .100 Kurtosis .735 .200 FEMALE Mean 23.01 .181 95% Confidence Interval for Mean Lower Bound 22.66 Upper Bound 23.37 5% Trimmed Mean 22.72 Median 22.00 Variance 26.644 Std. Deviation 5.162 Minimum 13 Maximum 44 Range 31 Interquartile Range 7 Skewness .869 .086 Kurtosis .439 .171 Tests of Normality RESPONDENTS SEX Kolmogorov-Smirnova Shapiro-Wilk
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Total: 446.1/ 30 = 14.87 Mean: (Avg) 14.87 Median: (14.87 + 14.87) / 2 = 14.8 Standard Deviation: 0.55033 Construct a 95% Confidence Interval for the ounces in the bottles. With a mean score of 14.87‚ a standard deviation of 0.55033‚ and a desired confidence level of 95%‚ the corresponding confidence interval is + 0.2. There is a 95% certainty that the true population mean falls within the range of 14.67 to 15.07. Conduct a hypothesis test to verify if the claim that a bottle contains less
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| |Population) | |Lower Limit |Upper Limit | | |RIVERSIDE |SAN DIEGO | | |MEDIAN |25.8 |57.2 |Years | | MEAN |30.4 |53.4 |Years | |STD DEV |21.41 |18.81 |Years | |CV |0.7
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above‚ one can begin to analyze different aspects such as mean‚ median and standard deviation. b. Find the mean of the times. The mean can be found by adding all of the values of the times and dividing that by the number of times. - 28+39+23+67+37+28+56+40+28+50+51+45+44+65+61+27+24+61+34+44+64+25+24+27+29 = 1021/25 = 40.84 = 41 minutes was the average wait time b.2. Find the median of the times. The median is defined as the midpoint of all of the values after they have been
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nursing field the reason why they’re so unpaid is they go rather complex and go beyond educational requirements or even greedy nursing home operators. Meanwhile‚ the median pay hourly for a Registered nurse is $32.45 while the median pay salary yearly is $67‚490 unlike Certified nurses the median pay hourly is $11.68 per hour the median pay salary yearly is $26‚590. That’s $40‚900 more than what a certified nurse makes which isn’t acceptable CNA’s deals with feces‚ urine‚ diarrhea and any types of
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Introduction The following report outlines the data gathering process‚ and results into the drinking habits of 18-40 year old male and females over a period of one week in Northern Ireland. The government suggests that people should not drink more than the recommended daily unit guidelines of 3-4 units of alcohol for men and 2-3 units of alcohol for women (attached as Appendix I). They also state that‚ men should not drink more than 21 standard drinks in a week‚ and women should not drink more than
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