#5 ****Please don\'t upload a photo for answers, thanks ****Answer all question
ID: 3054443 • Letter: #
Question
#5
****Please don't upload a photo for answers, thanks
****Answer all question or don't answer at all.
**You "WILL RECEIVE 3 RATES". I have 3 accounts.
This is the fifth time I post those questions I didn't get what I want.
I post this post 5 times I need 2 different views, please don't copy your answers to both of my posts. Please answer all.
Please answer these questions briefly, thanks
1.What is meant by statistics?
2.We use statistics to generate information for decision making from data. We also use either descriptive statistics or inferential statistics. Can you explain their applications and the type of data?
3.There are two basic types of variables, can you name them and provide examples.
4.Data can be classified according to levels of measurement. The level of measurement determines how data should be summarized and presented. There are four levels of measurement, can you name them and provide examples for each level.
5.What do we mean by mutually exclusive categories and provide examples?
6.What are the differences between interval level of measurements and ratio level of measurements?
ANSWER ALL OR DONT ANSWER, I KNOW THE RULES DONT EXPLAIN IT TO ME.
Explanation / Answer
1.What is meant by statistics?
Answer:
Statistics is Branch of mathematics concerned with collection, classification, analysis, and interpretation of numerical facts, for drawing inferences on the basis of their quantifiable likelihood (probability).
2.We use statistics to generate information for decision making from data. We also use either descriptive statistics or inferential statistics. Can you explain their applications and the type of data?
Answer:
Descriptive statistics-
Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of it. Means, that summarize and interpret some of the properties of a set of data (sample) but do not infer the properties of the population from which the sample was drawn. Descriptive statistics are broken down into measures of central tendency and measures of variability, or spread. Measures of central tendency include the mean, median and mode, while measures of variability include the standard deviation or variance, the minimum and maximum variables, and the kurtosis and skewness.
Applications:
1)Political and economic policy making.
2)The demographic trends,
3)Population growth trends can be studied to formulate the policies which will prompt economic growth.
Inferential Statistics-
It is mathematical methods that employ probability theory for inferring the properties of a population from the analysis of the properties of a data sample drawn from it. It is concerned also with the precision and reliability of the inferences it helps to draw.
Application:
1) To measure the diameter of each nail that is manufactured in a mill is impractical. You can measure the diameters of a representative random sample of nails. You can use the information from the sample to make generalizations about the diameters of all of the nails.
Types of Data-
a) Numerical data:
Numerical data means a measurement, such as a person’s height, weight, IQ, or blood pressure; or they’re a count, such as the number of stock shares a person owns, how many teeth a dog has, or how many pages you can read of your favorite book before you fall asleep.
b) Categorical data:
Categorical data represent characteristics such as a person’s gender, marital status, hometown.
c) Ordinal data:
Ordinal data mixes numerical and categorical data. The data fall into categories, but the numbers placed on the categories have meaning. For example, rating a Mobile phone on a scale from 0 (lowest) to 4 (highest) stars gives ordinal data.
3)There are two basic types of variables, can you name them and provide examples.
Answer:
There are two types of variables -
- Qualitative Variable
- Quantitative Variable
Qualitative Variables :
Qualitative variables take on values that are names or labels.
e.g. The color of a Flowers (e.g., red, green, blue) or the taste of a food (e.g. Sweet, Sour, Salty, Spicy)
Quantitative Variables:
Quantitative variables are numeric. They represent a measurable quantity.
e.g. when we speak of the population of a city, we are talking about the number of people in the city - a measurable attribute of the city. Therefore, population would be a quantitative variable.
4.Data can be classified according to levels of measurement. The level of measurement determines how data should be summarized and presented. There are four levels of measurement, can you name them and provide examples for each level.
Answer
There are 4 types of Level of Measurments:
a) Nominal Level of Measurment-
e.g. Types of Gender, Different Color of Hair.
b) Ordinal Level of Measurment-
e.g. Size of Pizza ( small, Medium, Large)
c) Interval Level of Measurment-
Temperature (30 degrees Celsius - 45 degrees Celsius)
d) Ratio Level of Measurment-
e.g. The amount of money you have in your pocket right now (25 cents, 55 cents, etc.)
5.What do we mean by mutually exclusive categories and provide examples?
Answer
Mutually Exclusive Category-
mutually exclusive, which means they do not overlap with one another. These events are things that can’t happen at the same time.
e,g. a)We can’t run backwards and forwards at the same time.
b) roll two six-sided dice and add the number of dots showing on top of the dice. The event consisting of "the sum is even" is mutually exclusive from the event "the sum is odd."
6.What are the differences between interval level of measurements and ratio level of measurements?
Answer:
The ratio scale of measurement is the most informative scale. It is an interval scale with the additional property that its zero position indicates the absence of the quantity being measured.The Fahrenheit scale for temperature has an arbitrary zero point and is therefore not a ratio scale. However, zero on the Kelvin scale is absolute zero. This makes the Kelvin scale a ratio scale. For example, if one temperature is twice as high as another as measured on the Kelvin scale, then it has twice the kinetic energy of the other temperature.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.