Master statistics - Mean, Standard Deviation, Z score, Sampling
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Mean, Standard Deviation, Z score, Sampling Definitions, Population and Samples Descriptive vs. Inferential Statistics Apply definition in statistics
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Homework #1SOCY 3115Spring 20Read the Syllabus and FAQ on ho.docx
Homework #1
SOCY 3115
Spring 20
Read the Syllabus and FAQ on how to do your homework before beginning the assignment!
To get consideration for full credit, you must:
· Follow directions;
· Show all work required to arrive at answer (statistical calculations often require multiple steps, so you need to write these down, not just skip to the final answer)
· Use appropriate statistical notation at all times (e.g. if you are calculating a population mean, begin with the equation for population mean)
· Use units in your answer, where appropriate (e.g. a mean time would be “6.5 hours” rather than just “6.5”)
Understanding the Structure of Data
1. For the following rectangular dataset:
Id
Highest degree
Works full-time
Annual income cat
1
Did not grad HS
Yes
Low
2
HS dip
Yes
Low
3
HS dip
No
Med
4
BA
No
Low
5
BA
Yes
Med
6
MA
Yes
High
7
HS dip
Yes
Med
a. What is the unit-of-analysis of the dataset?
b. How many variables are in the dataset?
c. How many observations/cases are in the dataset?
d. For eachvariable that is not named “id”:
i. What is the variable name?
ii. What is the level-of-measurement?
iii. What are the values for the variable?
iv. If you had to make a guess, what do you think the “question” was that was asked of the unit-of-analysis to get these data? (for example, if we had a continuous variable called “num_pets” the question might be “How many pets live in your household?”)
2. For the following rectangular dataset:
Id
num_bdrms
num_bthrms
sqft
Ranch
1
4
3
3200
Yes
2
2
1.5
2800
Yes
3
2
1
1200
Yes
4
3
2
1500
No
5
2
2
1100
No
a. What is the unit-of-analysis of the dataset?
b. How many variables are in the dataset?
c. How many observations/cases are in the dataset?
d. For each variable that is not named “id”:
i. What is the variable name?
ii. What is the level-of-measurement? Before answering, be sure to consult the slide called “Level of measurement – language to use”. Use the formal language!
iii. What are the values for the variable?
iv. If you had to make a guess, what do you think the “question” was that was asked of the unit-of-analysis to get these data? (for example, if we had a continuous variable called “num_pets” the question might be “How many pets live in your household?”)
3. For each of the following questions (1) construct a dataset with one variable and three observations (2) add data that could have theoretically been collected (just make up the actual responses to the question); and (3) indicate the level-of-measurement of the variable. I’ve done two examples for you.
Example#1:
What is your current age? (individual is the unit-of-analysis)
idage
1 25
2 32
3 61
The age variable is continuous/interval ratio.
Example#2:
What is the size of this hospital based on number of beds? (hospital is the unit-of-analysis)? Answers can be small (1-100 beds), medium (101-500 beds), large (501 beds to 1000 beds), extra large (1001+ beds)
idhosp_size
1 med
2 med
3 ext ...
Population and Sample in Total Quality Management
Real World Example of Population, Population Parameters, Population Samples, The Basics of Population, What Is Population?
Recommended
Homework #1SOCY 3115Spring 20Read the Syllabus and FAQ on ho.docx
Homework #1
SOCY 3115
Spring 20
Read the Syllabus and FAQ on how to do your homework before beginning the assignment!
To get consideration for full credit, you must:
· Follow directions;
· Show all work required to arrive at answer (statistical calculations often require multiple steps, so you need to write these down, not just skip to the final answer)
· Use appropriate statistical notation at all times (e.g. if you are calculating a population mean, begin with the equation for population mean)
· Use units in your answer, where appropriate (e.g. a mean time would be “6.5 hours” rather than just “6.5”)
Understanding the Structure of Data
1. For the following rectangular dataset:
Id
Highest degree
Works full-time
Annual income cat
1
Did not grad HS
Yes
Low
2
HS dip
Yes
Low
3
HS dip
No
Med
4
BA
No
Low
5
BA
Yes
Med
6
MA
Yes
High
7
HS dip
Yes
Med
a. What is the unit-of-analysis of the dataset?
b. How many variables are in the dataset?
c. How many observations/cases are in the dataset?
d. For eachvariable that is not named “id”:
i. What is the variable name?
ii. What is the level-of-measurement?
iii. What are the values for the variable?
iv. If you had to make a guess, what do you think the “question” was that was asked of the unit-of-analysis to get these data? (for example, if we had a continuous variable called “num_pets” the question might be “How many pets live in your household?”)
2. For the following rectangular dataset:
Id
num_bdrms
num_bthrms
sqft
Ranch
1
4
3
3200
Yes
2
2
1.5
2800
Yes
3
2
1
1200
Yes
4
3
2
1500
No
5
2
2
1100
No
a. What is the unit-of-analysis of the dataset?
b. How many variables are in the dataset?
c. How many observations/cases are in the dataset?
d. For each variable that is not named “id”:
i. What is the variable name?
ii. What is the level-of-measurement? Before answering, be sure to consult the slide called “Level of measurement – language to use”. Use the formal language!
iii. What are the values for the variable?
iv. If you had to make a guess, what do you think the “question” was that was asked of the unit-of-analysis to get these data? (for example, if we had a continuous variable called “num_pets” the question might be “How many pets live in your household?”)
3. For each of the following questions (1) construct a dataset with one variable and three observations (2) add data that could have theoretically been collected (just make up the actual responses to the question); and (3) indicate the level-of-measurement of the variable. I’ve done two examples for you.
Example#1:
What is your current age? (individual is the unit-of-analysis)
idage
1 25
2 32
3 61
The age variable is continuous/interval ratio.
Example#2:
What is the size of this hospital based on number of beds? (hospital is the unit-of-analysis)? Answers can be small (1-100 beds), medium (101-500 beds), large (501 beds to 1000 beds), extra large (1001+ beds)
idhosp_size
1 med
2 med
3 ext ...
Population and Sample in Total Quality Management
Real World Example of Population, Population Parameters, Population Samples, The Basics of Population, What Is Population?
Samples and Its types
Types of Samples and Observation, Populations vs. Samples, Types of Sampling, Errors in Sampling, Errors of Observation, Conclusion.
STAT225 Introduction to Statistics in the Behavioral Sciences.docx
STAT225: Introduction to Statistics in the Behavioral Sciences
1. In a school election, five people run for student body president. The actual number of votes for each candidate would be a(n) variable. If the total number of votes were removed and the candidates were listed in order of least to most popular, this would be a(n)
variable.
a. ratio; ordinal b. ordinal; ratio c. ratio; nominal
d. nominal; ordinal
2. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the explanatory/independent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
3. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the response/dependent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
Please use the following information to answer questions 4 through 9
An industrial psychologist at a company has heard that desk bikes could help employees to lose weight, increase their stamina, and improve productivity. Sixteen employees were provided with desk bikes and the total number of pounds they lost, after one month, was recorded. Here are the data, in pounds lost, per employee:
4
8
12
0
2
20
18
0
12
6
12
16
10
8
12
4
4. What is the range of this distribution?
a. 0 t o 20 b. 20
c. 18 d. 4
5. What is the mean number of pounds that were lost by the employees in one month?
a.
9.88
b.
10.4
c.
12
d.
9
6. What is the median number of pounds that were lost by the employees in one month?
a.
8
b.
9
c.
10
d.
11
7. What is the variance of the number of pounds that were lost by the employees in one month?
a.
37.33
b.
9.72
c.
9.85
d.
6.11
8. What is the Interquartile range for this distribution?
a.
4
b.
8
c.
9
d.
12
9. How many outliers are in this distribution?
a. 0 b. 1
c. 2
d. Unable to determine from this information
The following graph depicts the typical relationship found between physiological arousal (anxiety) levels (e.g., range from 0 = no anxiety to 10=extreme anxiety) and test performance (e.g., percentage of correct answers on test).
Please use the following information to answer questions 10 and 11.
100%
Test Performance (in Percentage)
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Relationship Between Physiological Arousal Level and Test
Performance
0 2 4 6 8 10
Physiological Arousal Level
10. Based on this graph, what type of relation exists between physiological arousal level and test performanc.
lecture-note-on-basic-statistics-prem-mann-introductory-statistics.pdf
Students of Economics, business and Statistics
Statistical Fundamentals in Total Quality Management
Statistical Fundamentals, The Five Basic Words of Statistics, Branches of Statistics, Sources of Data, Sampling Concepts, Sample Selection Methods
Descriptive and Inferential Statistics
The two major areas of statistics are: descriptive statistics and inferential statistics. In this presentation, the difference between the two are shown including examples.
IntroductionIntroduction to Populations and SamplesIt wo.docx
Introduction
Introduction to Populations and Samples
It would take too long and cost too much money to test the qualityof every piece of cereal made at a factory. Instead, a small sample ofeach batch is tested.
Wouldn't it be great if we could ask everyone in the world their opinion on atopic? What if we could have every person take a psychological test of interest sowe can assemble the most accurate data? How can we make sure that we includeevery man, woman, child, race, ethnicity, socioeconomic status, class, religion,occupation, or other demographic of interest in any study we conduct? We wantto make sure that the data we collect is as good as we can get under the givencircumstances. Because we cannot include everyone of interest in a study, wemust make sure our sample, or the group of those who participate in our study, isas close to "looking" like the population, or the entire collection of people ofinterest, as possible.
Consider this example. You are doing a study on the differences between men andwomen regarding their ability to follow directions. If you collected data from allmales and all females in the world—which would be the entire population,because sex is our main variable of interest—you would get an extremely accurateresult. However, it would be unrealistic, time consuming, and costly to collect thisdata. You could, however, take a sample of males and females and study them. If you choose a good sample, the results of your study can yieldan accurate representation of the population.
Collecting a sample that closely resembles the population we are interested in is an important component of conducting research. Muchconsideration must be given to the individuals you want to choose for your sample and how to ensure that your sample represents thepopulation. By choosing a good sample, we can make certain assumptions about the population, just as if we had selected everyone in thatpopulation. This is the focus of sampling: to select an appropriate cross-section of the population that will accurately represent the entirepopulation.
In the following lesson you will learn how to sample a population using a range of sampling methods. Be sure to pay specific attention to theadvantages and disadvantages of each method and when each is most useful.
Applying Knowledge of Populations and Samples
Populations and Samples in Ashford Courses
You will need to understand sample and population in a range of graduate courses, including those with a focus on psychological ororganizational assessment and testing, measurement, research methods, and statistics. In these courses you will need to be able to identify anddescribe the population of interest, how a sample was obtained, and the sampling methods used. These topics are important in understandinghow assessment or test results can be used or interpreted based on population norms, and how to conduct a study that does not suffer fromsampling biases or errors. In addition, having knowledge and s ...
Basics stat ppt-types of data
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
Understanding statistics 2#4 Using a Z Chart Table
The z-table is short for the “Standard Normal z-table”. The Standard Normal model is used in hypothesis testing, including tests on proportions and on the difference between two means. The area under the whole of a normal distribution curve is 1, or 100 percent.
Understanding Statistics 2#3 The Standard Normal Distribution
The standard normal distribution is a special case of the normal distribution. It is the distribution that occurs when a normal random variable has a mean of zero and a standard deviation of one.
The normal random variable of a standard normal distribution is called a standard score or a z score. Every normal random variable X can be transformed into a z score
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1. In a school election, five people run for student body president. The actual number of votes for each candidate would be a(n) variable. If the total number of votes were removed and the candidates were listed in order of least to most popular, this would be a(n)
variable.
a. ratio; ordinal b. ordinal; ratio c. ratio; nominal
d. nominal; ordinal
2. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the explanatory/independent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
3. A researcher was interested in the effects of gender on attitudes toward women in leadership positions. The researcher surveyed a group of individuals, 12 of whom were men and 12 of whom were women. In this example, what is the response/dependent variable?
a. type of leadership position b. the 12 women in the study
c. the gender of the participants
d. the participants' attitudes toward women in leadership positions
Please use the following information to answer questions 4 through 9
An industrial psychologist at a company has heard that desk bikes could help employees to lose weight, increase their stamina, and improve productivity. Sixteen employees were provided with desk bikes and the total number of pounds they lost, after one month, was recorded. Here are the data, in pounds lost, per employee:
4
8
12
0
2
20
18
0
12
6
12
16
10
8
12
4
4. What is the range of this distribution?
a. 0 t o 20 b. 20
c. 18 d. 4
5. What is the mean number of pounds that were lost by the employees in one month?
a.
9.88
b.
10.4
c.
12
d.
9
6. What is the median number of pounds that were lost by the employees in one month?
a.
8
b.
9
c.
10
d.
11
7. What is the variance of the number of pounds that were lost by the employees in one month?
a.
37.33
b.
9.72
c.
9.85
d.
6.11
8. What is the Interquartile range for this distribution?
a.
4
b.
8
c.
9
d.
12
9. How many outliers are in this distribution?
a. 0 b. 1
c. 2
d. Unable to determine from this information
The following graph depicts the typical relationship found between physiological arousal (anxiety) levels (e.g., range from 0 = no anxiety to 10=extreme anxiety) and test performance (e.g., percentage of correct answers on test).
Please use the following information to answer questions 10 and 11.
100%
Test Performance (in Percentage)
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Relationship Between Physiological Arousal Level and Test
Performance
0 2 4 6 8 10
Physiological Arousal Level
10. Based on this graph, what type of relation exists between physiological arousal level and test performanc.
lecture-note-on-basic-statistics-prem-mann-introductory-statistics.pdf
Students of Economics, business and Statistics
Statistical Fundamentals in Total Quality Management
Statistical Fundamentals, The Five Basic Words of Statistics, Branches of Statistics, Sources of Data, Sampling Concepts, Sample Selection Methods
Descriptive and Inferential Statistics
The two major areas of statistics are: descriptive statistics and inferential statistics. In this presentation, the difference between the two are shown including examples.
IntroductionIntroduction to Populations and SamplesIt wo.docx
Introduction
Introduction to Populations and Samples
It would take too long and cost too much money to test the qualityof every piece of cereal made at a factory. Instead, a small sample ofeach batch is tested.
Wouldn't it be great if we could ask everyone in the world their opinion on atopic? What if we could have every person take a psychological test of interest sowe can assemble the most accurate data? How can we make sure that we includeevery man, woman, child, race, ethnicity, socioeconomic status, class, religion,occupation, or other demographic of interest in any study we conduct? We wantto make sure that the data we collect is as good as we can get under the givencircumstances. Because we cannot include everyone of interest in a study, wemust make sure our sample, or the group of those who participate in our study, isas close to "looking" like the population, or the entire collection of people ofinterest, as possible.
Consider this example. You are doing a study on the differences between men andwomen regarding their ability to follow directions. If you collected data from allmales and all females in the world—which would be the entire population,because sex is our main variable of interest—you would get an extremely accurateresult. However, it would be unrealistic, time consuming, and costly to collect thisdata. You could, however, take a sample of males and females and study them. If you choose a good sample, the results of your study can yieldan accurate representation of the population.
Collecting a sample that closely resembles the population we are interested in is an important component of conducting research. Muchconsideration must be given to the individuals you want to choose for your sample and how to ensure that your sample represents thepopulation. By choosing a good sample, we can make certain assumptions about the population, just as if we had selected everyone in thatpopulation. This is the focus of sampling: to select an appropriate cross-section of the population that will accurately represent the entirepopulation.
In the following lesson you will learn how to sample a population using a range of sampling methods. Be sure to pay specific attention to theadvantages and disadvantages of each method and when each is most useful.
Applying Knowledge of Populations and Samples
Populations and Samples in Ashford Courses
You will need to understand sample and population in a range of graduate courses, including those with a focus on psychological ororganizational assessment and testing, measurement, research methods, and statistics. In these courses you will need to be able to identify anddescribe the population of interest, how a sample was obtained, and the sampling methods used. These topics are important in understandinghow assessment or test results can be used or interpreted based on population norms, and how to conduct a study that does not suffer fromsampling biases or errors. In addition, having knowledge and s ...
Basics stat ppt-types of data
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More from Florin Neagu
Understanding statistics 2#4 Using a Z Chart Table
The z-table is short for the “Standard Normal z-table”. The Standard Normal model is used in hypothesis testing, including tests on proportions and on the difference between two means. The area under the whole of a normal distribution curve is 1, or 100 percent.
Understanding Statistics 2#3 The Standard Normal Distribution
The standard normal distribution is a special case of the normal distribution. It is the distribution that occurs when a normal random variable has a mean of zero and a standard deviation of one.
The normal random variable of a standard normal distribution is called a standard score or a z score. Every normal random variable X can be transformed into a z score
Understanding Statistics 2#2 The Normal Probability Distribution
The normal distribution is the most important and most widely used distribution in statistics.
It is sometimes called the "bell curve," Strictly speaking, it is not correct to talk about "the normal distribution" since there are many normal distributions. Normal distributions can differ in their means and in their standard deviations. Normal distributions are symmetric with relatively more values at the center of the distribution and relatively few in the tails.
Understanding statistics 2#1 Random Variation and Discrete Probability Distri...
Random Variable
In algebra, you learned about different variables like x, y and maybe even z. Some examples of variables include x = number of heads or y = number of cell phones or z = running time of movies. Thus, in basic math, a variable is an alphabetical character that represents an unknown number.
In probability, we also have variables and we refer to them as random variables. A random variable is a variable that is subject to randomness, which means it can take on different values. For example, tossing a coin, cast a dice, etc.
The random variable takes on different values depending on the situation. Each value of the random variable has a probability or percentage associated with it
Discrete Probability Distribution
A discrete distribution describes the probability of occurrence of each value of a discrete random variable. With a discrete probability distribution, each possible value of the discrete random variable can be associated with a non-zero probability
Understanding Statistics 1#14 z-score
Z-score is a numerical measurement of a value's relationship to the mean in a group of values. If a Z-score is 0, then the score is identical to the mean score.
Z-scores can be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.
Z-score or the standard score is a very useful statistic because it
- allows us to calculate the probability of a score occurring within our normal distribution
- enables us to compare two scores that are from different normal distributions.
Understanding Statistics 1#13 Box and Whisker plots
A box and whisker plot (boxplot) is a graph that presents information from a five-number summary. It is especially useful for indicating whether a distribution is skewed and whether there are potential unusual observations (outliers) in the data set. Box and whisker plots are also very useful when large numbers of observations are involved and when two or more data sets are being compared
A box and whisker plot is a way of summarizing a set of data measured on an interval scale. It is often used in explanatory data analysis. This type of graph is used to show the shape of the distribution, its central value, and its variability.
Understanding Statistics 1#12 Quartiles of Data
To understand a quartile, let us revisit median. For median, we cut off the data into two groups with equal number of points. Thus the middle value that separates these groups is the median. In the same way if we divide the data into 4 equal groups, the first differentiating point is the first quartile, the second differentiating point is the second quartile (which is the same as the median) and the third differentiating point is the third quartile.
To further see what quartiles do, the first quartile is at the 25th percentile. This means that 25% of the data is smaller than the first quartile and 75% of the data is larger than this. Similarly, in case of the third quartile, 25% of the data is larger than it while 75% of it is smaller. For the second quartile, which is nothing but the median, 50% or half of the data is smaller while half of the data is larger than this value
Understanding Statistics 1#11 Chebyshev Theorem
- The Empirical Rule is an approximation that applies only to data sets with a bell-shaped relative frequency histogram. It estimates the proportion of the measurements that lie within one, two, and three standard deviations of the mean.
- Chebyshev’s Theorem is a fact that applies to all possible data sets. It describes the minimum proportion of the measurements that lie must within one, two, or more standard deviations of the mean.
Master statistics 1#10 Empirical Rule of Standard Deviation
The empirical rule is a statistical rule which declares that for a normal distribution, almost all data will fall within three standard deviations of the mean.
The empirical rule is most often used in statistics to anticipate final outcomes. After a standard deviation is calculated and before exact data can be collected, this rule can be used as a rough estimate of the outcome of the data. This probability can be used meanwhile since gathering appropriate data may be time-consuming or even impossible to obtain. The empirical rule is also used as a rough way to test a distribution's "normality". If too many data points fall outside the three standard deviation boundaries, this could suggest that the distribution is not normal
Master statistics 1#09_ Standard Deviation of Data in a Frequency Table
When using standard deviation keep in mind the following properties.
• Standard deviation is only used to measure spread or dispersion around the mean of a data set.
• Standard deviation is never negative.
• Standard deviation is sensitive to outliers. A single outlier can raise the standard deviation and in turn, distort the picture of spread.
• For data with approximately the same mean, the greater the spread, the greater the standard deviation.
Master statistics 1#8 Population and Sample Standard Deviation
- The standard deviation is the square root of the variance. The standard deviation is expressed in the same units as the mean is, whereas the variance is expressed in squared units.
- Both standard deviation and variance are derived from the mean of a given data set.
- The coefficient of variation is a standardized measure of dispersion of a probability distribution or frequency distribution. If you know nothing about the data other than the mean, one way to interpret the relative magnitude of the standard deviation is to divide it by the mean
Master statistics 1#7 Population and Sample Variance
• Variance: this is a very important concept in statistics and represents how spread the data is
Variance is used to see how individual numbers relate to each other within a data set.
- A drawback to variance is that it gives added weight to numbers far from the mean (outliers), since squaring these numbers can skew interpretations of the data.
- The advantage of variance is that it treats all deviations from the mean the same regardless of direction; as a result, the squared deviations cannot sum to zero and give the appearance of no variability.
- The drawback of variance is that it is not easily interpreted, and the square root of its value is usually taken to get the standard deviation of the data set in question.
Master statistics 1#6 Median vs. Mean and Range of Data
• Median: the middle value in an ordered list of data
• If an odd number of sample then chose the median as the middle
• If even number then the median is average of the 2 middle sample
• Mode: value in the dataset that occur most frequently
• Mean: Average value of the data
• Measure of dispersion: how much data is spread or dispersed
• Range of the data: Difference between largest and smallest values
Understanding statistics 1#5 Mean and Sample Mean
Mean: Average value of the data
Sample Mean: Mean of the sample values collected;
Weighted mean: when each value of the dataset is not equally important
Understanding statistics 1#4 Pie chart, Bar chart, Pareto,Histogram, Steam L...
• Pie Chart: Data represented as a fraction of a circle
• Bar chart: show comparisons between categories of data
• Pareto: Use when there are many problems or causes and you want to focus on the most significant
• Histogram: Bar chart of a frequency distribution
Steam and leaf: a method for showing the frequency with which certain classes of values occur
Master statistics 1#3 _relative and cumulative frequency distribution
Relative Frequency: the % of the dataset that falls in a class
Cumulative Frequency: the sum of a frequency for a class and all previous classes
Master statistics 1_2 _frequency distribution
Frequency Distribution
In statistics, a frequency distribution is a list, table or graph that displays the frequency of various outcomes in a sample.
Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and in this way, the table summarizes the distribution of values in the sample.
Data Analysis
A brief description of how to "handle" any type of data you come across.
This cover:
- Type of data,
- Data representation; or how to visualize data to understand relationship
- Which control chart should I use to check the process capability
Testing common assumptions; which hypothesis should be used it and how to check
More from Florin Neagu (18)
Understanding statistics 2#4 Using a Z Chart Table
Understanding statistics 2#4 Using a Z Chart Table
Understanding Statistics 2#3 The Standard Normal Distribution
Understanding Statistics 2#3 The Standard Normal Distribution
Understanding Statistics 2#2 The Normal Probability Distribution
Understanding Statistics 2#2 The Normal Probability Distribution
Understanding statistics 2#1 Random Variation and Discrete Probability Distri...
Understanding statistics 2#1 Random Variation and Discrete Probability Distri...
Understanding Statistics 1#13 Box and Whisker plots
Understanding Statistics 1#13 Box and Whisker plots
Master statistics 1#10 Empirical Rule of Standard Deviation
Master statistics 1#10 Empirical Rule of Standard Deviation
Master statistics 1#09_ Standard Deviation of Data in a Frequency Table
Master statistics 1#09_ Standard Deviation of Data in a Frequency Table
Master statistics 1#8 Population and Sample Standard Deviation
Master statistics 1#8 Population and Sample Standard Deviation
Master statistics 1#7 Population and Sample Variance
Master statistics 1#7 Population and Sample Variance
Master statistics 1#6 Median vs. Mean and Range of Data
Master statistics 1#6 Median vs. Mean and Range of Data
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Understanding statistics 1#4 Pie chart, Bar chart, Pareto,Histogram, Steam L...
Master statistics 1#3 _relative and cumulative frequency distribution
Master statistics 1#3 _relative and cumulative frequency distribution
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一比一原版(YU毕业证)约克大学毕业证成绩单
YU毕业证【微信95270640】（约克大学毕业证高仿学位证书((+《Q微信95270640》))）购买YU毕业证修改YU成绩单购买约克大学毕业证办YU文凭办高仿毕业证约克大学毕业证购买修改成绩单挂科退学如何进行学历认证留学退学办毕业证书/ 出国留学无法毕业买毕业证留学被劝退买毕业证（非正常毕业教育部认证咨询） York University
办理国外约克大学毕业证书 #成绩单改成绩 #教育部学历学位认证 #毕业证认证 #留服认证 #使馆认证（留学回国人员证明） #（证）等
真实教育部认证教育部存档中国教育部留学服务中心认证（即教育部留服认证）网站100%可查.
真实使馆认证（即留学人员回国证明）使馆存档可通过大使馆查询确认.
留信网认证国家专业人才认证中心颁发入库证书留信网永久存档可查.
约克大学约克大学毕业证学历书毕业证 #成绩单等全套材料从防伪到印刷从水印到钢印烫金跟学校原版100%相同.
国际留学归国服务中心：实体公司注册经营行业标杆精益求精！
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2开始安排制作约克大学毕业证成绩单电子图；
3约克大学毕业证成绩单电子版做好以后发送给您确认；
4约克大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
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一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
UIUC毕业证offer【微信95270640】☀《伊利诺伊大学|厄巴纳-香槟分校毕业证购买》GoogleQ微信95270640《UIUC毕业证模板办理》加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围：
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(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理伊利诺伊大学|厄巴纳-香槟分校伊利诺伊大学|厄巴纳-香槟分校毕业证offer流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！的鬼地方父亲的家在高楼最底屋最下面很矮很黑是很不显眼的地下室父亲的家安在别人脚底下须绕过高楼旁边的垃圾堆下八个台阶才到父亲的家很狭小除了一张单人床和一张小方桌几乎没有多余的空间山娃一下子就联想起学校的男小便处山娃很想笑却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气间
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
一般的なロボットポリシーモデルであり、トランスフォーマーベースの拡散ポリシーとして実装されているOctoについて紹介しています。
一比一原版(QU毕业证)皇后大学毕业证成绩单
QU毕业证【微信95270640】办理皇后大学毕业证原版一模一样、QU毕业证制作【Q微信95270640】《皇后大学毕业证购买流程》《QU成绩单制作》皇后大学毕业证书QU毕业证文凭皇后大学
本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。
1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。
可办理以下真实皇后大学存档留学生信息存档认证：
1皇后大学真实留信网认证（网上可查永久存档无风险百分百成功入库）；
2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）；
3购买英美真实学籍（不用正常就读直接出学历）；
4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）
留学本科/硕士毕业证书成绩单制作流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询皇后大学皇后大学硕士毕业证成绩单）；
2开始安排制作皇后大学毕业证成绩单电子图；
3皇后大学毕业证成绩单电子版做好以后发送给您确认；
4皇后大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5皇后大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — — — — — — — — 《文凭顾问Q/微：95270640》很感动很无奈房东的儿子小伍笨手笨脚的不会说普通话满口粤语态度十分傲慢一副盛气凌人的样子山娃试图接近他跟他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆义
Q1’2024 Update: MYCI’s Leap Year Rebound
Key things you need to know on consumer confidence, key behavioral, tech, e-wallet & esports trends in Malaysia.
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
CU毕业证【微信95270640】（卡尔顿大学毕业证成绩单本科学历）Q微信95270640(补办CU学位文凭证书)卡尔顿大学留信网学历认证怎么办理卡尔顿大学毕业证成绩单精仿本科学位证书硕士文凭证书认证Seneca College diplomaoffer,Transcript办理硕士学位证书造假卡尔顿大学假文凭学位证书制作CU本科毕业证书硕士学位证书精仿卡尔顿大学学历认证成绩单修改制作，办理真实认证、留信认证、使馆公证、购买成绩单，购买假文凭，购买假学位证，制造假国外大学文凭、毕业公证、毕业证明书、录取通知书、Offer、在读证明、雅思托福成绩单、假文凭、假毕业证、请假条、国际驾照、网上存档可查！
如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方毕业证+微信95270640
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4、回国时间很长，忘记办理；
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面向美国乔治城大学毕业留学生提供以下服务:
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【★真实教育部认证，教育部存档，教育部留服网站可查】
【★真实留信认证，留信网入库存档，可查卡尔顿大学卡尔顿大学毕业证文凭证书】
我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。
专业服务，请勿犹豫联系我
如果您真实毕业回国，对于学历认证无从下手，请联系我，我们免费帮您递交
诚招代理：本公司诚聘当地代理人员，如果你有业余时间，或者你有同学朋友需要，有兴趣就请联系我
你赢我赢，共创双赢
你做代理，可以帮助卡尔顿大学同学朋友
你做代理，可以拯救卡尔顿大学失足青年
你做代理，可以挽救卡尔顿大学一个个人才
你做代理，你将是别人人生卡尔顿大学的转折点
你做代理，可以改变自己，改变他人，给他人和自己一个机会他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了活
社内勉強会資料_LLM Agents .
単純な応答だけでなく、複雑な課題に対応できる柔軟性を持つLLM Agents。主要コンポーネントのPlanning、Memory、Tool Useについて解説しています。
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Empowering Data Analytics Ecosystem.pptx
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
UPenn毕业证【微信95270640】办理宾夕法尼亚大学毕业证原版一模一样、UPenn毕业证制作【Q微信95270640】《宾夕法尼亚大学毕业证购买流程》《UPenn成绩单制作》宾夕法尼亚大学毕业证书UPenn毕业证文凭宾夕法尼亚大学
本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。
办国外宾夕法尼亚大学宾夕法尼亚大学硕士学位证成绩单教育部学历学位认证留信认证大使馆认证留学回国人员证明修改成绩单信封申请学校offer录取通知书在读证明offer letter。
快速办理高仿国外毕业证成绩单：
1宾夕法尼亚大学毕业证+成绩单+留学回国人员证明+教育部学历认证（全套留学回国必备证明材料给父母及亲朋好友一份完美交代）;
2雅思成绩单托福成绩单OFFER在读证明等留学相关材料（申请学校转学甚至是申请工签都可以用到）。
3.毕业证 #成绩单等全套材料从防伪到印刷从水印到钢印烫金高精仿度跟学校原版100%相同。
专业服务请勿犹豫联系我！联系人微信号：95270640诚招代理：本公司诚聘当地代理人员如果你有业余时间有兴趣就请联系我们。
国外宾夕法尼亚大学宾夕法尼亚大学硕士学位证成绩单办理过程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。我们在哪里父母对我们的爱和思念为我们的生命增加了光彩给予我们自由追求的力量生活的力量我们也不忘感恩正因为这股感恩的线牵着我们使我们在一年的结束时刻义无反顾的踏上了回家的旅途人们常说父母恩最难回报愿我能以当年爸爸妈妈对待小时候的我们那样耐心温柔地对待我将渐渐老去的父母体谅他们以反哺之心奉敬父母以感恩之心孝顺父母哪怕只为父母换洗衣服为父母喂饭送汤按摩酸痛的腰背握着父母的手扶着他们一步一步地慢慢散步.娃
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
原版定制【微信:41543339】【(Adelaide毕业证书)阿德莱德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
原版定制【微信:41543339】【(Deakin毕业证书)迪肯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
原版定制【Q微信:741003700】《(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书》【Q微信:741003700】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【Q微信741003700】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信741003700】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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Master statistics - Mean, Standard Deviation, Z score, Sampling
- 1. Mastering Statistics Mean, Std Deviation, Variance, Z-score, Sampling
- 2. Lesson 2 – Populations and Samples - definitions Statistics: Gathering, describing & analysing data. OR numeric description of sample data Data: Information Gathering Population: Particular group of interest ex: everybody in a city; everybody in something, ex: all males or all females, all children between 6-9 ya, ex: everybody in a city; . Note the word ALL, is all inclusive of a category Parameter: Numerical description of a population characteristic Ex: the mean height of all males in the world; IQ of all children in the world, mean IQ of all females in USA, 75% of all kids age 6-9 play games Note the word NUMERICAL from definition; it is a number Sample: Subset of the POPULATION from which DATA is collected Ex: we asked 100 males IN THE CITY what their fav movies Sample Statistic: Numeric description of particular sample CHARACHTERISTIC Ex: 100 female asked from city; 47% disliked chocolate
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