WorksheetsIntroduction to Inference: Post test
Total questions: 20
Worksheet time: 24mins
What is statistical estimation?
Methods for rounding answers in statistical calculations.
Methods to determine the best graph to represent statistical data.
Methods for reducing errors in inferential statistics.
Methods for reducing errors in descriptive statistics.
How do descriptive and inferential statistics differ?
Descriptive statistics are more computationally sophisticated than inferential statistics.
Inferential statistics are more computationally sophisticated than descriptive statistics
Descriptive statistics only attempt to describe data, while inferential statistics attempt to make predictions based on data.
Inferential statistics only attempt to describe data, while descriptive statistics attempt to make predictions based on data.
What are two examples of inferential statistics?
Range and percentiles.
Mean and probability distributions.
Regression analysis and hypothesis testing.
Variance and correlation.
In an experiement, this is main factor that is being studied, the "if" part of the study.
distribution
confounding variable
independent variable
correlation
The difference between the highest and lowest scores in a distribution.
standard deviation
variance
range
dependent variable
A group that fairly represents a population because each member has an equal chance of inclusion is called
a random assignment
non-biased sampling
a representative sample
a meme
Which of the following best describes a Type I error?
The null is true, but we mistakenly reject it.
The null is false and we reject it.
The null is false, but we fail to reject it.
The null is true but we fail to reject it.
The null is true, and we fail to reject it.
The null hypothesis is represented by:
Ha
Ho
t*
HP
μ
This occurs when a sample is collected in such a way that some members of the intended population are less likely to be included than others.
sampling error
sampling bias
random sampling
clustered sampling
Refers to the collection of facts where the researcher gets information.
Collection of Data
Organization of Data
Analysis of Data
None of the above
Refers to the organization of data into tables, graphs and charts.
Collection of Data
Collation of Data
Presentation of Data
None of the above
Which of the following variables is a continuous random variable?
the number of pages in a book
the amount of stamps in a stamp collection
the number of houses in a neighborhood
the amount of rainfall in a given month
Which statistical procedure should be used in order to answer this research problem: “Is there a significant relationship between height and weight of the patients?”
Frequency
Correlation
Multiple Regression Analysis
Percentage
How do we can answer the inferential questions?
Look for logical results and predict what happens next.
Look for the concepts in special relationships such as to cause and effect.
Look for the comparison of two different things which compared in the paragraph or from our knowledge about that topic.
All of the above
I. Infinite scores
II. Manipulating sample size
III. Single or multiple extreme values
IV. The range that changes unpredictably from sample to sample
Which of the following statements about the P value do you believe to be true?
The P value is the probability that the null hypothesis is true.
The P value is the probability that the alternative hypothesis is true.
The P value is the probability of obtaining the observed or more extreme results if the alternative hypothesis is true.
The P value is the probability of obtaining the observed results or results which are more extreme if the null hypothesis is true.
Which of the following statements is NOT true regarding linear regression?
It identifies significant predictors for a continuous outcome variable.
It predicts the outcome of a binary variable with continuous variables.
It quantifies a relationship between two continuous variables.
It models a linear relationship between two continuous variables.
A time series consists of data arranged
Chronologically
Geographically
Serially
Intermittently
Farmer Joe's apple tree farm is set up in 100 rows. He counts the number of apples produced on every 10th row to estimate the number apples produced on the whole farm. This is _____________ sampling.
Systematic
Simple
Stratified
Cluster
Most students selected at random to a sample are women. The characteristic that most of the sample consists of women is an example of
population parameter
statistical anomaly
inferential statistic
sample statistic
