WorksheetsSeatwork Data Structure2
Total questions: 14
Worksheet time: 9mins
Data science and data analysts use it to look at the meaningful __ in the world.
Words
Datas
Trends
Statistics
In Hypothesis test on Proportion, no. of successes in sample/sample size is represented by :
X
P
μ
π
In the Hypothesis test on Variance, does arithmetic sequence involve finding the random variable from its mean?
True
False
These are the types of hypothesis test, except one.
Complex Hypothesis Test
Simple Hypothesis Test
Non-Parametric Test
Chi-Square Test
A __ is one that makes assumptions about the parameters (defining properties) of the population distribution(s) from which one's data is drawn.
Parametric Test
Null Hypothesis Test
Alternative Hypothesis Test
Complex Hypothesis Test
What are the 3 types of parametric test
Z-Test
Kruskal wallis
T-test
Anova
μ represents the __
sample number
standard deviation
population mean
A t-test is a significance test that assesses.
The means of two independent groups
The medians of two dependent groups
The modes of two independent variables
The standard deviation of three independent variables
You obtained a significant test statistic when comparing three treatments in a one-way ANOVA. In words, how would you interpret the alternative hypothesis HA?
At least two treatments are different from each other in terms of their effect on the mean response
Exactly two of the three treatments have the same effect on the mean response
All treatment have different effects on the mean response
None of the above
A __ (sometimes called a distributor free test) does not assume anything about the underlying distribution. It is used when data is not distributed normally.
Parametric test
Non-parametric test
F-distribution
Hypothesis
To find F-Crit scores, what table should we use?
U-table
S-table
O-table
F-table
What is the 2 types of Chi-Square Test?
Chi-Square Test For Goodness of Fit
Chi- Square Test For Parametric
Chi-Square Test For Independence of Two Variables
Involve finding the squared deviation of a random variable from its mean. It measures how far a set of (random) numbers are spread out of their average value.
Hypothesis Test about population Means
Hypothesis Test about population Variance
Hypothesis Test about population Proportions
Involve testing the hypothesis that compares the population mean of interest with a specified value.
Hypothesis Test about population Means
Hypothesis Test about population Variance
Hypothesis Test about population Proportions
