Question

what is a "tidy" dataset and what can make data "messy"?

Answer #1

**Definition of Tidy Data:**

Data arrangement is an important aspect of the statistical analysis of data. Tidy data is a way to structure the database to facilitate data analysis. In Tidy data, each column and each row is owned by each variable and each observation respectively. Secondly, a table is formed by every observational unit.

If all the conditions are met then a dataset is called the Tidy dataset.

If a Tidy dataset contains reductant columns, odd variable codes, and missing values then the dataset becomes Messy.

In R dataset "Airquality"
What are the data types used in airquality dataset, and how many
variables are there?
Find out min, Q1, Median, Mean, Q3 and Max in Wind column not
using NAs.
Draw a scatter plot of Solara Radiation (Solar.R) with respect
to each day

Use the built in R dataset called “mtcars.” You can see what
variables this dataset contains by typing help(mtcars). Calculate a
scatter plot for the variables: wt and mpg. Also, calculate the
correlation coefficient. Calculate a least squares line and plot it
in the scatterplot.

Given a dataset for a response variable and a single regressor,
we can fit the data using a regression model on the original values
of the response variable or using a regression model on the ranks
applied to the response variable. Discuss the advantages and the
disadvantages of the two modeling approaches. Discuss the
conditions required for either approach, respectively.

Provide a specific example of a large dataset, and how it can be
used. What are some of the challenges of working with large
datasets, and how you think you can overcome these challenges?

Use "PLUC" data and the description for the dataset on the
blackboard. What t test shall be used to compare the population
means of "LWAS" between male and female.
One sample t test
Two sample independent t test
paired t test
X^2 test
Two sample proportion z test
Use "PLUC" data and the description for the dataset on the
blackboard. What t test shall be test if the population mean of
LWAS of males is more than 75.
One sample...

4. Select a random sample of data from your dataset. The data
should have a minimum of 30 cases, but not more than 200 cases.
(Hint: You can use the “random” function in either Excel or SPSS to
generate a random sample from your dataset.)
Living arrangement
Sense of isolation
Housing development
Integrated Neighborhood
Totals
Low
80
30
110
High
20
120
140
Totals
100
150
250

1) What can a company do to make sure that it protects the data of
its customers? If the data gets leaked (or stolen), what should the
company do?
2) One of the keys to a successful database is the quality
of the data that is being collected. What can a company do to help
make sure that the data it is collecting is actually accurate and
valid?

The mean of a dataset is 80
and standard deviation of 5. Approximately what percentage of data
is between 65 and 95?The mean of a dataset is 80 and standard
deviation of 5. Approximately what percentage of data is between 65
and 95?

Perform a dihybrid cross between parents with the genotypes NnTt
and NnTt (N = messy, n = neat, T = relaxed, t = tense). What is the
probability that an F1 generation plant will be
homozygous dominant for both traits, knowing that it is messy and
relaxed?

You are provided with the following dataset. Come up with a
research question and make a prediction (hypothesis). Label each of
x and y with an appropriate variable name relevant to your
hypothesis. If you want, you can add a new variable to the data
such as gender, age, etc, to make your hypothesis interesting
however it's not mendatory and it won't lead to additional credits.
Use SPSS to perform the following.
Clearly state your hypothesis.
What is the shape...

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