The
range
is the difference between the highest and lowest scores in a distribution. It is calculated by subtracting the lowest score from the highest score.
What is used to analyze sample data in order to make conclusions?
Given Information: The procedure to analyze samples to conclude about population is
statistical inference
. Therefore, the correct option is option c) statistical inference.
Which statistic describes the most frequently occurring score in a set of scores?
The median is the middle score in a set of given numbers.
The mode
is the most frequently occurring score in a set of given numbers.
What correlation between two variables means that as scores on one variable increases the scores on another variable also increase?
Positive correlation
is a relationship between two variables in which both variables move in tandem—that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
Is descriptive statistics used in order to analyze the relationship between variables?
Descriptive statistics
is used in order to analyze the relationship between variables. … Inferential statistics allows a researcher to make inferences about a specific population based on data taken from a sample.
What are the four types of descriptive statistics?
- Measures of Frequency: * Count, Percent, Frequency. …
- Measures of Central Tendency. * Mean, Median, and Mode. …
- Measures of Dispersion or Variation. * Range, Variance, Standard Deviation. …
- Measures of Position. * Percentile Ranks, Quartile Ranks.
What are the 5 descriptive statistics?
There are a variety of descriptive statistics. Numbers such as the
mean, median, mode, skewness, kurtosis, standard deviation, first quartile and third quartile
, to name a few, each tell us something about our data.
What are the two commonly used tool in quantitative data analysis?
Although there are many other methods to collect quantitative data, those mentioned above
probability sampling, interviews, questionnaire observation, and document review
are the most common and widely used methods either offline or for online data collection.
What is the average distance between the variable scores and the mean in a set of data?
The average distance between the variable scores and the mean in a set of data is
the standard deviation
.
What is the process of analyzing sample data in order to draw conclusions about the characteristics of a population called?
Thus sample data is drawn from the population to study on the basis of which the characteristics of the population are determined. This process is known as
statistical inference
.
What is an example of zero correlation?
A zero correlation exists when there is no relationship between two variables. For example there is
no relationship between the amount of tea drunk and level of intelligence
.
What is weak positive correlation?
A weak positive correlation would indicate
that while both variables tend to go up in response to one another, the relationship is not very strong
. A strong negative correlation, on the other hand, would indicate a strong connection between the two variables, but that one goes up whenever the other one goes down.
Which represents a strong negative correlation?
The strength of a correlation relationship is quantified by its correlation coefficient, the strongest possible being “perfectly” correlated. … In general,
-1.0 to -0.70
suggests a strong negative correlation, -0.50 a moderate negative relationship, and -0.30 a weak correlation.
What are the two major types of descriptive statistics?
Descriptive statistics has 2 main types:
Measures of Central Tendency (Mean, Median, and Mode)
. Measures of Dispersion or Variation (Variance, Standard Deviation, Range).
What are the three most important descriptive statistics?
The most recognized types of descriptive statistics are measures of center:
the mean, median, and mode
, which are used at almost all levels of math and statistics.
What are 3 types of statistics?
- Descriptive statistics.
- Inferential statistics.
