Visually interpret the histogram by using the terms skewness, modality, kurtosis, symmetry, and outliers.
Homework Answers
The histogram above reveal that the quiz is approximately normally distributed and the value of the skewness is close to 0 while that of kurtosis is almost 3.No outlier detected and it is symmetry
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Visually interpret the histogram by using the terms skewness,
modality, kurtosis, symmetry, and outliers.
25 Mean...
Discuss the shape of the distribution of HINCOME9 by observing the histogram and using proper statistics....
Discuss the shape of the distribution of HINCOME9 by
observing the histogram and using proper statistics.
Statistics HINCOME9 170 Missing Mean Median Std. Deviation Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Percentiles 25 32418.6267 31546.4471 4864.05439 186 1.752 370 28870.2942 31546.4471 35122.4000 50 75 Histogram 50 Mean 32418.63 Std. Dev. 4864.054 N-170 40 O 30 а» а» 20 20000.00 25000.00 30000.00 35000.00 40000.00 45000.00 50000.00 HINCOME9
#1 - What is the general distributional shape (in terms of normality, skewness, kurtosis) of the...
#1 - What is the general distributional shape (in terms of
normality, skewness, kurtosis) of the histograms represented in
histogram below?
2.) The legend below indicates that the whiskers represent the
standard deviation, the box represents the standard error, and the
line represents the median. Have I represented the elements of the
boxplot correctly? If not, what is incorrect?
The grade point averages of our Physics and Chemistry students lie
between values of 11 and 16 (out of 20), with...
Calculate the range, mean, mode, median, Standard deviation Calculate the skewness and kurtosis for the above...
Calculate the range, mean, mode, median, Standard deviation Calculate the skewness and kurtosis for the above data and interpret the data. The following is data collected from the daily salary employees of ZZ COMPANY.. 68 19 43 11 37 30 19 67 65 34 96 23 93 73 46 39 21 12 89 52 33 21 18 57 80 56 91 62 56 48 84 23 78 96 49 36 90 42 65 15 43 36 65 59 34 71...
What does the five number tell us about the time spent on email (Hint, interpret the...
What does the five number tell us about the time spent on email
(Hint, interpret the five number summary in plain English) and what
does the Boxplot and the normality test show? Explain.
Use the 1.5xIQR rule to identify possible outliers. List the
cutoff points for outliers, Show your workings. Explain what you
found out. (Hint: Are there any excessive time spent on email for
Male(1) or Female(2) or both).
GET DATA /TYPE-XLS /FILE='C: \Users\rmanda 1 \ Desktop\homework! . xls'...
Based on historical data, daily demand of a product is normally distributed with a mean of...
Based on historical data, daily demand of a product is normally
distributed with a mean of 200 and standard deviation of 50.
Develop a spreadsheet simulation model by simulating 300
observations of demand. After simulation freeze the simulated
demand values. Use Analysis ToolPak ? Histogram create a histogram
visualizing the demand distribution using bins: 100, 125, 150,
175,...,300. Use Analysis ToolPak ? Descriptive Statistics to
compute the descriptive statistics metrics of the simulated values.
Interpret skewness of the simulated demand....
please explain 1-3 in detail, thank you! all data below Paragraph Histogram of height Styles 10...
please explain 1-3 in detail, thank you! all data below
Paragraph Histogram of height Styles 10 Frequency 10 10 170 height 1. describe the histogram using the four characteristics: shape, center, variability(spread) and outliers. Use full sentences for the description. 2. Define the parameter being estimated in this histogram. 3. State and check the assumptions for the 95% confidence interval for the population mean. Make sure to explain why the assumptions are met or not. A check mark is not...
E) Deseribe the probabuiity histogram (symmetry, shape, center And the mean of this discrete rand...
c-f
on
this page
We were unable to transcribe this imagee) Deseribe the probabuiity histogram (symmetry, shape, center And the mean of this discrete random variable, Х. (Reminden This is asking you to find the mean or a random variable. .not a sample mean.) Show your 二つ、 e) Find the standard deviation of the random variable, X. (Reminder: This is asking you to find the standard deviation of a random variable...not a sample standard deviation.) Keep EXACT fractions throughout the...
what code in R should I use if I want to achieve 10 different outputs with the same n. n= a number that doesnt satisfies the CLT my distributions are pois(0.8) and t(2) the one I used is below but...
what code in R should I use if I want to achieve 10 different
outputs with the same n. n= a number that doesnt satisfies the CLT
my distributions are pois(0.8) and t(2)
the one I used is below but I don’t think it’s right if anyone
can help me please resolve this code so I can do the same thing
with 10 different values of n.
and of that n I need to know the mean, the min, max,...
The information of data 1 Question Consider the following table that relates earning per hour (WAGE)...
The information of data 1
Question
Consider the following table that relates earning per hour (WAGE) to years of education (EDUC): Dependent Variable: WAGE Method Least Squares Date: 03/09/20 Time 1330 Sample: 11200 Included observations: 1200 Variable Coefficient Std. Error -Statistic tbl) 1770148 Prob. 0.0000 0.0000 1962400 se(b2) EDUC - 10 39996 2 396761 R-squared Adjusted R-squared SE of regression Sum squared resid Log likelihood F-statistic Prob(F statistic) 0 207327 Mean dependent var 0 206666 SD dependent var 13.55328 Akake...
4- Variance and Standard deviation (how far the data values lie from the mean) The mean,...
4- Variance and Standard deviation (how far the data values lie from the mean) The mean, mode, and median do a nice job in telling where the center of the data set is, but often we are interested in more. For example, a pharmaceutical engineer develops a new drug that regulates iron in the blood. Suppose she finds out that the average sugar content after taking the medication is the optimal level. This does not mean that the drug is...
Discuss the shape of the distribution of HINCOME9 by
observing the histogram and using proper statistics.
Statistics HINCOME9 170 Missing Mean Median Std. Deviation Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Percentiles 25 32418.6267 31546.4471 4864.05439 186 1.752 370 28870.2942 31546.4471 35122.4000 50 75 Histogram 50 Mean 32418.63 Std. Dev. 4864.054 N-170 40 O 30 а» а» 20 20000.00 25000.00 30000.00 35000.00 40000.00 45000.00 50000.00 HINCOME9
#1 - What is the general distributional shape (in terms of
normality, skewness, kurtosis) of the histograms represented in
histogram below?
2.) The legend below indicates that the whiskers represent the
standard deviation, the box represents the standard error, and the
line represents the median. Have I represented the elements of the
boxplot correctly? If not, what is incorrect?
The grade point averages of our Physics and Chemistry students lie
between values of 11 and 16 (out of 20), with...
What does the five number tell us about the time spent on email
(Hint, interpret the five number summary in plain English) and what
does the Boxplot and the normality test show? Explain.
Use the 1.5xIQR rule to identify possible outliers. List the
cutoff points for outliers, Show your workings. Explain what you
found out. (Hint: Are there any excessive time spent on email for
Male(1) or Female(2) or both).
GET DATA /TYPE-XLS /FILE='C: \Users\rmanda 1 \ Desktop\homework! . xls'...
Based on historical data, daily demand of a product is normally
distributed with a mean of 200 and standard deviation of 50.
Develop a spreadsheet simulation model by simulating 300
observations of demand. After simulation freeze the simulated
demand values. Use Analysis ToolPak ? Histogram create a histogram
visualizing the demand distribution using bins: 100, 125, 150,
175,...,300. Use Analysis ToolPak ? Descriptive Statistics to
compute the descriptive statistics metrics of the simulated values.
Interpret skewness of the simulated demand....
please explain 1-3 in detail, thank you! all data below
Paragraph Histogram of height Styles 10 Frequency 10 10 170 height 1. describe the histogram using the four characteristics: shape, center, variability(spread) and outliers. Use full sentences for the description. 2. Define the parameter being estimated in this histogram. 3. State and check the assumptions for the 95% confidence interval for the population mean. Make sure to explain why the assumptions are met or not. A check mark is not...
c-f
on
this page
We were unable to transcribe this imagee) Deseribe the probabuiity histogram (symmetry, shape, center And the mean of this discrete random variable, Х. (Reminden This is asking you to find the mean or a random variable. .not a sample mean.) Show your 二つ、 e) Find the standard deviation of the random variable, X. (Reminder: This is asking you to find the standard deviation of a random variable...not a sample standard deviation.) Keep EXACT fractions throughout the...
what code in R should I use if I want to achieve 10 different
outputs with the same n. n= a number that doesnt satisfies the CLT
my distributions are pois(0.8) and t(2)
the one I used is below but I don’t think it’s right if anyone
can help me please resolve this code so I can do the same thing
with 10 different values of n.
and of that n I need to know the mean, the min, max,...
The information of data 1
Question
Consider the following table that relates earning per hour (WAGE) to years of education (EDUC): Dependent Variable: WAGE Method Least Squares Date: 03/09/20 Time 1330 Sample: 11200 Included observations: 1200 Variable Coefficient Std. Error -Statistic tbl) 1770148 Prob. 0.0000 0.0000 1962400 se(b2) EDUC - 10 39996 2 396761 R-squared Adjusted R-squared SE of regression Sum squared resid Log likelihood F-statistic Prob(F statistic) 0 207327 Mean dependent var 0 206666 SD dependent var 13.55328 Akake...
4- Variance and Standard deviation (how far the data values lie from the mean) The mean, mode, and median do a nice job in telling where the center of the data set is, but often we are interested in more. For example, a pharmaceutical engineer develops a new drug that regulates iron in the blood. Suppose she finds out that the average sugar content after taking the medication is the optimal level. This does not mean that the drug is...
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