Advanced Statistical Analysis - I

The null hypothesis is

• hypothesis where the mean is equal to zero

• hypothesis where the standard deviation is minimum

• hypothesis of no difference between mean and standard deviation

• hypothesis of no difference between compared values

We use the 't' variable when

• The 'z' variable cannot be found

• When the number of samples is small

• When the number of samples is large

• When we know the value of the population mean

The confidence interval indicates

• The region around the sample mean where the standard deviation is plus/minus 1

• The region around the sample mean where the standard deviation is plus/minus 2

• The region around the sample mean where population mean maybe found within a certain probability

• The region around the sample mean where population mean maybe found

Match the following

• null hypothesis

• Two-tailed test

• Q

• z

• Outlier elimination

The method of least squares is a type of ​ ​ (a)   analysis

• regression
• distribution
• outlier

If Pearson's 'r' is equal to +1, it means that the data sets have

• No Correlation

• Perfectly positive correlation

• Perfectly negative correlation

• positive correlation

The correct order of steps when performing a 't' test is

• statement of alternate hypothesis

• acceptance or rejection of null hypothesis

• statement of null hypothesis

• calculation of 't' variable

• comparison with critical value

The method of least squares seeks to provide a best-fit line by

• accounting for variance

• minimising the standard deviation

• increasing the confidence interval

• minimising the residuals

Which of the following tests do not require the statistical tables

• 'z' test

• 't' test

• 'Q' test

• Pearsons's 'r'