You can use the z test for two proportions. The link below will do this test for you.
With probability ratios the value you get to describe the strength of the relationship when you compare (A given B) to (A given not B) is not the same as what you get when you compare (not A given B) to (not A given not B). This is, IMHO, a big problem. There is no such problem with odds ratios.
you add your weighted premiums and divide by your weighted claims. (you do not weight the loss ratios )
Larger t-ratios indicate a greater difference between the sample mean and the null hypothesis mean relative to the variability in the data. This suggests that the observed effect is less likely to be due to random chance. As a result, larger t-ratios are more likely to exceed the critical value for significance, leading to a higher probability of rejecting the null hypothesis. Thus, they often indicate stronger evidence against the null hypothesis.
Ratios and rates are mathematical derivations. A ratio is an index comparing fractionally indexing multiple quantities vis-Ã -vis one other. A 1 to 1 (1:1) ration of milk to water would mean equal quantities of each. A rate is a measure of quantity over time. Rates can include speed and the volume of fluid movement.
when a number of ratios give the same answer after solving the ratios the ratios are said to be equivalent ratios
Ratios are often classified using the following terms: profitability ratios (also known as operating ratios), liquidity ratios, and solvency ratios.
Ratios
1 - Activity ratios 2 - Profitability ratios 3 - Liquidity ratios
1 - Activity Ratios 2 - Liquidity ratios 3 - Profitability ratios
equivalent ratios are different ratios that name the same comparison
1 - Actiivty raios 2 - turnover ratios 3 - Profitability ratios 4 - Liquidity Ratios
No but percentages are ratios.
similarity ratios are ratios in which both the ratios are equal to each other
They are called equivalent ratios.
Equivalent ratios.
How do you do ratios