Secondary Catalogue

Credit is an alluring concept to those who don’t fully understand it, which can lead to significant financial troubles down the road. Looking into different types of credit providers – including buy-now-pay-later schemes – personal loans, payday loans and credit cards, this video considers the benefits and pitfalls of each. With on-screen calculations helping to illustrate key concepts, this is essential viewing to boost the financial confidence of the next generation of earners and consumers. Show Less

When borrowing money from a lender, you know that you will ultimately pay back more than the amount you borrowed. But how do you work out how much more? This involves understanding compound interest and substituting known data into the mathematical formula for calculating it. With on-screen calculations helping to illustrate key concepts, this is essential viewing to boost the financial confidence of the next generation of earners and consumers. Show Less

Why do lenders charge interest? And how is it calculated? With practical examples and clear definitions of the principal, rate and duration of a loan, this video illustrates how consumers pay back more than they borrow, sometimes considerably so. With on-screen calculations helping to illustrate key concepts, this is essential viewing to boost the financial confidence of the next generation of earners and consumers. Show Less

Growing the number you see when you login to online banking is a common and worthy goal. For some, this means setting aside, or saving, a portion of their earnings. For others, this means putting their existing money to work for them; using money to make more money. This is called investing. With on-screen calculations helping to illustrate these methods, this is essential viewing to boost the financial confidence of the next generation of earners and consumers. Show Less

When we run a hypothesis test, we can choose an upper-tail test, a lower-tail test, or a two-tail test, but it's really important that we make a conservative decision about the type of test we'll run. Once we pick our test type, then we'll calculate the test statistic and compare it against the boundaries of the region of rejection. Show Less

We've done hypothesis testing around point estimates, like the mean or the proportion, but now we want to work a hypothesis test around the difference of two means. In this video we'll talk about how to build a confidence interval around the difference of means of two populations. Show Less

In this video we'll look at how to build a confidence interval around the proportion of a population. The confidence level is something that we choose based on how confident we want to be in our conclusion. Of course, it's intuitive to think that we want to be as confident as possible, but choosing a higher confidence level comes with drawbacks when we're conducting a test. Show Less

Learn how to find the equation of the normal line at a given point. To find the equation of the normal line, you'll need to first calculate the derivative of the function, then plug the given point into the derivative to find the slope of the tangent line. Plug the slope and the given point into the point-slope formula for the equation of the line to find the equation of the tangent line. Then take the negative reciprocal of the slope of the tangent line to find the slope of the normal line, which is the line perpendicular to the tangent line. Finally, plug the new slope and the given point into the point-slope formula for the equation of the line to find the equation of the normal line. Show Less

The sampling distribution of the sample mean is created when we take every possible sample from our population, calculate the sample mean for each sample, and the plot all of those samples into a probability distribution. The SDSM is what allows us to turn random samples into a normal curve, and then make inferences about the population using just one sample. Show Less

In this video we'll look at how to build a confidence interval around the mean of a population. The confidence level is something that we choose based on how confident we want to be in our conclusion. Of course, it's intuitive to think that we want to be as confident as possible, but choosing a higher confidence level comes with drawbacks when we're conducting a test. Show Less

Normally when we're looking at the difference of means, we're dealing with independent samples, samples that don't impact each other. But sometimes we'll want to do hypothesis testing with dependent samples. When this is the case, we can run a matched-pair hypothesis test to investigate the relationship between the samples. Show Less

We've done hypothesis testing around point estimates, like the mean or the proportion, but now we want to work a hypothesis test around the difference of two means. In other words, sometimes we'll want to look at the difference between the means of two different populations, consider the normal distribution of the difference of means, and then run a hypothesis test around that difference. This means that we'll now have to consider what we know about each population. For instance, do we know one standard deviation, both standard deviations, or neither of the standard deviations? Show Less

We've done hypothesis testing around point estimates, like the mean or the proportion, but now we want to work a hypothesis test around the difference of two means. In other words, sometimes we'll want to look at the difference between the proportions of two different populations, consider the normal distribution of the difference of proportions, and then run a hypothesis test around that difference. This means that we'll now have to consider what we know about each population. For instance, do we know one standard deviation, both standard deviations, or neither of the standard deviations? Show Less

The sampling distribution of the sample proportion is created when we take every possible sample from our population, calculate the sample proportion for each sample, and the plot all of those samples into a probability distribution. The SDSP is what allows us to turn random samples into a normal curve, and then make inferences about the population using just one sample. Show Less

The student's t-distribution is another probability distribution, very similar to the normal distribution. In fact, the values we find from the t-table are often almost identicial to the values we find from the z-table. But under certain circumstances, we'll be forced to use the slightly more conservative t-table. Show Less

In order to make statistical inferences using the sampling distribution of the sample proportion, we have to meet three conditions with our sample. It must be normal, large enough, and independent. In this video we'll talk about the specific definition of all three of those conditions. Show Less

In order to make statistical inferences using the sampling distribution of the sample mean, we have to meet three conditions with our sample. It must be normal, large enough, and independent. In this video we'll talk about the specific definition of all three of those conditions. Show Less

We've done hypothesis testing around point estimates, like the mean or the proportion, but now we want to work a hypothesis test around the difference of two proportions. In this video we'll talk about how to build a confidence interval around the difference of proportions of two populations. Show Less