-0.91 is mostly likely the correlation coefficient for the set of data shown
Answer:
Given:
f(x) = 2x² + 3
g(x) = x² - 7
To Find:
(f - g)(x)
Step-by-step explanation:
(f -g)(x) = f(x) - g(x)
= (2x² + 3) - (x² - 7)
= 2x² + 3 - x² + 7
= 2x² - x² + 3 + 7
= x² + 3 + 7
= x² + 10
sinx=sin(π3−π)=−sin(π3)=−12.
cosx=cos(π3−π)=−cos(π3)=−√32.
tanx=−12−√32=1√3=√3.
cotx=1√3=√33.
secx=1cos=−2√3=−2√33.
cscx=1sin=−2.
Answer: 188 is the outlier
Step-by-step explanation:
Find median of the whole data set. The median is 83.5.
Then find Q1 and Q3. Q1 is 78, Q2 is 96.
Then find the IQR. The IQR is 18.
Find the inner fences of the data set. The inner fences are 51 and 123. Anything that is outside of 51 or 123 is an outlier so 188 is an outlier.
Answer:
(1) Cluster sample
(2) Systematic sample
(3) Random sample
(4) Systematic sample
(5) Stratified sample
Step-by-step explanation:
A simple random sample is a part of a statistical population in which every individual of the population has an equal probability of being selected.
Assigning each individual of the population a unique number and using a computer or random number generator for selection is a procedure to select a simple random sample.
Stratified sampling is a kind of sampling in which whole-population is distributed into homogeneous subgroups before one takes a sample. These subgroups are called strata which is mutually exclusive or related.
In this process the population members cannot be excluded.
Cluster Sampling is a method to randomly select samples from a population that is too enormous for simple random sampling.
Using cluster sampling, the experimenter distributes the entire-population into distinct groups, called clusters. Then, a simple random sample of clusters is chosen from the population. Then the experimenter performs the analysis on data from the sampled clusters.
Systematic sampling is a kind of probability sampling method in which individuals from a larger population are nominated according to a random initial point and a static, periodic interval.
Consider all the definitions of different types of samples.
(1) Cluster sample
(2) Systematic sample
(3) Random sample
(4) Systematic sample
(5) Stratified sample
