When comparing data, if one has a larger Standard Deviation this means

• It has a bigger average

• The data is less variable and spread

• The data is more variable and less consistent

• It has more participants responding

For a P value to be significant it must be

• More than 50%

• Less than 50%

• 0.10 and below

• <0.05

We calculate Pearson's Correlation Coefficient to

• Show the strength of relationship between two variables and how this close this is to the line of best fit

• See how spread data is

• Determine the reliability of data

• Make the graph look better by putting a straight line in

Tags

NGSS.HS-LS3-3

Which of the following statements are true about the range

• The smaller the range, the lower the reliability of data

• Error bars will never indicate the range

• The larger the range, the larger the variability of the data

• A large range indicates outliers may be present

• The smaller the range, the more consistent and therefore more reliable data is

What is false about error bars?

• They only show Standard Deviation

• The figure title for the graph will show you if they represent Standard Error, Standard Deviation or range.

• If they are big, data is more reliable than if they are small

• If they overlap, this means that data is not statistically significant

What are the two conditions that must be present in a data set for a t-test to be correctly used?

• The sample size of each group in the data must be more than 10

• Heaps of people have been used

• It is longitudinal research, using one group

• The data must be normally distributed

Which r value/s indicates the strongest relationship?

• -0.7

• -0.3

• 0.3

• 0

• 0.7

What measure of Central Tendency do we use when there are NO outliers?

• The mode

• The mean

• The range

• The median

Identify the type of relationship between weight and price.

• The price is never 0 on the graph

• As weight increases, price increases

• There is a negative linear correlation between weight and price

• The price gets high at the end of the graph

Draw a conclusion about the relationship between the number of cases and time.

• There is an exponential relationship between time and the number of cases of COVID-19

• As time increases, the number of COVID-19 cases is increasing at an increasing rate.

• As COVID-19 cases increase, so does time at a linear rate.

• There is no relationship between the two