This lesson describes how to calculate the standard deviation to measure the spread of a set of data and to compare means using the t-test. The detailed PowerPoint and accompanying resources have been designed to cover the part of point 4.2.2 (f) of the OCR A-level Biology A specification that includes these two statistical tests.
A step by step guide walks the students through each stage of the calculation of the standard deviation and gets them to complete a worked example with the class before applying their knowledge to another set of data. This data looks at the birth weights of humans on one day in the UK and this is used again later in the lesson to compare against the birth weights of babies in South Asia when using the student’s t-test. The null hypothesis is introduced and students will learn to accept or reject this based upon a comparison of their value against one taken from the table based on the degrees of freedom.
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Module 4: Biodiversity, evolution and disease (OCR A-level Biology A)
The detailed content, exam-style questions, guided discussion points and quiz competitions that are found in each of the 16 paid lessons that are included in this bundle (as well as the 5 free lessons which are named at the bottom) cover the following specification points in module 4 of the OCR A-level Biology A specification: Module 4.1.1 * The different types of pathogen that can cause communicable diseases in plants and animals * The means of transmission of animal and plant communicable pathogens * The primary non-specific defences against pathogens in animals * The structure and mode of action of phagocytes * The structure, different roles and modes of action of B and T lymphocytes in the specific immune response * The primary and secondary immune responses * The structure and general functions of antibodies * An outline of the action of opsonins, agglutinins and anti-toxins * The differences between active and passive immunity, and between natural and artificial immunity * Autoimmune diseases * The principles of vaccination Module 4.2.1 * How biodiversity can be considered at different levels * The random and non-random sampling strategies that are carried out to measure the biodiversity of a habitat * How to measure species richness and species evenness * The use and interpretation of Simpson's Index of Diversity * How genetic biodiversity may be assessed * The ecological, economic and aesthetic reasons for maintaining biodiversity * In situ and ex situ methods of maintaining biodiversity * International and local conservation agreements made to protect species and habitats 4.2.2 * The biological classification of species * The binomial system of naming species and the advantage of such a system * The features used to classify organisms into the five kingdoms * The evidence that has led to new classification systems * The different types of variation * Using the standard deviation to measure the spread of a set of data * Using the Student's t-test to compare means of data values of two populations * Using the Spearman's rank correlation coefficient to consider the relationship of the data * The different types of adaptations to their environment * The mechanism by which natural selection can affect the characteristics of a population over time * How evolution in some species has an impact on human populations If you would like to get an idea of the quality of the lessons that are included in this bundle, then download the following five OCR A lessons which have been uploaded for free: Immunity & vaccinations Reasons for maintaining biodiversity Taxonomic hierarchy and the binomial naming system Adaptations and natural selection Transmission of animal and plant pathogens
Maths in A-level Biology (OCR A-level Biology)
The mathematical element of the OCR A-level Biology A specification is substantial and every year, there are a large number of exam questions that require the application of a range of mathematical skills. Therefore, a clear understanding of how and when to apply these skills is closely related to success on this course and the following calculations are covered by the 9 lessons that are included in this bundle: * Using the chi-squared test to determine significance between the observed and expected results of a genetic cross * Using the Hardy Weinberg principle to calculate the frequency of an allele or a genotype in a population * Calculating the standard deviation to measure the spread of data * Using the Student's t-test to compare the means of two sets of data * Calculating the temperature coefficient * Calculating the proportion of polymorphic gene loci * Using and interpreting Simpson's index of diversity to calculate the biodiversity of a habitat * Using the Spearman's rank correlation coefficient to consider the relationship of the data * The use and manipulation of the magnification formula A revision lesson is also included in this bundle which acts as a fun and engaging revision of the range of calculations
Module 4.2.2: Classification and evolution (OCR A-level Biology A)
Classification and evolution is a topic that students can find difficult, which may be for a number of reasons that include a lack of engagement during lessons or because these topics are taught quickly as exams approach at the end of year 12. However, a clear understanding is critical, as assessment questions on the content of this module are common and are often worth a significant number of marks. In line with this, the planning of each of the 7 lessons in this bundle has focused on the inclusion of a wide range of tasks that will engage and motivate the students whilst covering the following points as detailed in module 4.2.2 of the OCR A-level Biology A specification: * The biological classification of species * The taxonomic hierarchy * The binomial system of naming species and the advantages of such a system * The features used to classify organisms into the five kingdoms * The evidence that has led to new classification systems, such as the three domains of life * The different types of variation * Using standard deviation to measure the spread of a set of data * Using the Student's t-test to compare means of data values of two populations * Using the Spearman's rank correlation coefficient to consider the relationship of the data * The different types of adaptations of organisms to their environment * The mechanism by which natural selection can affect the characteristics of a population over time * How evolution in some species has implications for human populations If you would like to sample the quality of the lessons included in this bundle, then download the following lessons as these have been uploaded for free: * Taxonomic hierarchy and the binomial naming system * Adaptations & natural selection
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