BREES Statistics Exam Revision

<p>120.7 mmHg (A)</p> Signup and view all the answers

<p>1 hour 30 minutes (A)</p> Signup and view all the answers

<p>30% (D)</p> Signup and view all the answers

<p>A calculator that cannot communicate (B)</p> Signup and view all the answers

<p>15 MCQs (B)</p> Signup and view all the answers

<p>Analyze it using SPSS (A)</p> Signup and view all the answers

<p>4 pages, double sided (C)</p> Signup and view all the answers

<p>Transfer them on the Examination Answer Sheet (B)</p> Signup and view all the answers

<p>Smartphone (B)</p> Signup and view all the answers

<p>877 g (D)</p> Signup and view all the answers

<p>The value is 0.67 standard deviations above the mean. (D)</p> Signup and view all the answers

<p>36% (D)</p> Signup and view all the answers

<p>The sampling distribution will be normal regardless of the population distribution. (D)</p> Signup and view all the answers

<p>3.4 g (B)</p> Signup and view all the answers

<p>95% (D)</p> Signup and view all the answers

<p>68% (C)</p> Signup and view all the answers

<p>It represents the standard deviation. (B)</p> Signup and view all the answers

<p>df = N - 1 (A)</p> Signup and view all the answers

<p>The number of standard deviations the sample mean is from the population mean. (D)</p> Signup and view all the answers

<p>7.2 pM (D)</p> Signup and view all the answers

<p>2.78 (A)</p> Signup and view all the answers

<p>19.8 pM (B)</p> Signup and view all the answers

<p>The sample size is small, and the sample standard deviation is used. (D)</p> Signup and view all the answers

<p>The range of values within which the population mean is likely to fall. (C)</p> Signup and view all the answers

<p>It will decrease the width. (C)</p> Signup and view all the answers

<p>Rejecting the null hypothesis when it is true. (C)</p> Signup and view all the answers

<p>To establish that there is no difference between population means (B)</p> Signup and view all the answers

<p>To compare the probability of an outcome between two groups. (C)</p> Signup and view all the answers

<p>Using Pearson’s coefficient, r. (A)</p> Signup and view all the answers

<p>There is a 2.5% chance of rejecting the null hypothesis when it is true (C)</p> Signup and view all the answers

<p>One-sample t-test (D)</p> Signup and view all the answers

<p>The change in the outcome variable for each unit change in the predictor. (B)</p> Signup and view all the answers

<p>It shows relationships between two continuous variables. (C)</p> Signup and view all the answers

<p>Lower the alpha value (A)</p> Signup and view all the answers

<p>There is a high variance in hormone levels (D)</p> Signup and view all the answers

<p>The threshold for determining statistical significance. (A)</p> Signup and view all the answers

<p>Failing to reject the null hypothesis incorrectly (B)</p> Signup and view all the answers

<p>Data that relates two different variables. (A)</p> Signup and view all the answers

<p>Whether differences between observed and expected frequencies are significant. (A)</p> Signup and view all the answers

<p>There is a 5% chance of falsely rejecting the null hypothesis (A)</p> Signup and view all the answers

<p>It is one of the mean values for different degrees of freedom (A)</p> Signup and view all the answers

<p>8 pages (B)</p> Signup and view all the answers

<p>A print-out of the SPSS analysis (A)</p> Signup and view all the answers

<p>30% (C)</p> Signup and view all the answers

<p>115.7 mmHg (D)</p> Signup and view all the answers

<p>Students can use any type of calculator. (D)</p> Signup and view all the answers

<p>3 (C)</p> Signup and view all the answers

<p>SPSS analysis (A)</p> Signup and view all the answers

<p>At least one mean is different. (C)</p> Signup and view all the answers

<p>The Examination Answer Sheet (D)</p> Signup and view all the answers

<p>120.7 mmHg (D)</p> Signup and view all the answers

<p>A pencil (HB or softer) (B)</p> Signup and view all the answers

<p>15 MCQs (A)</p> Signup and view all the answers

<p>ANOVA (C)</p> Signup and view all the answers

<p>The number of standard deviations the data point is from the mean (A)</p> Signup and view all the answers

<p>The mean of the sample means is the same as the population mean (C)</p> Signup and view all the answers

<p>16% (B)</p> Signup and view all the answers

<p>It decreases the standard error of the mean (C)</p> Signup and view all the answers

<p>95% (B)</p> Signup and view all the answers

<p>Scores are widely spread out from the mean (C)</p> Signup and view all the answers

<p>It will be normal regardless of the population shape (A)</p> Signup and view all the answers

<p>3.4 g (A)</p> Signup and view all the answers

<p>N - 1 (D)</p> Signup and view all the answers

<p>2.78 (A)</p> Signup and view all the answers

<p>Rejecting the null hypothesis when it is true (A)</p> Signup and view all the answers

<p>3.6 pM (C)</p> Signup and view all the answers

<p>75 pM (C)</p> Signup and view all the answers

<p>The probability of an event occurring in the treatment group divided by the control group (A)</p> Signup and view all the answers

<p>The extent of the relationship between two variables (A)</p> Signup and view all the answers

<p>22 pM (B)</p> Signup and view all the answers

<p>12.0 pM (D)</p> Signup and view all the answers

<p>Corresponds to 4.03 (D)</p> Signup and view all the answers

<p>The observed frequencies differ from the expected frequencies (D)</p> Signup and view all the answers

<p>A range of values within which the population mean is expected to lie with a certain level of confidence. (D)</p> Signup and view all the answers

<p>Narrow the confidence interval (C)</p> Signup and view all the answers

<p>Correlation can be both linear and non-linear (B)</p> Signup and view all the answers

<p>A 5% chance of rejecting the null hypothesis when it is true (A)</p> Signup and view all the answers

<p>Type I error (B)</p> Signup and view all the answers

<p>There is statistically significant evidence against the null hypothesis. (C)</p> Signup and view all the answers

<p>One-sample t-test (D)</p> Signup and view all the answers

<p>Lower the alpha level (B)</p> Signup and view all the answers

<p>To set the threshold for rejecting the null hypothesis (A)</p> Signup and view all the answers

<p>Measurements are highly variable. (C)</p> Signup and view all the answers

<p>Failing to reject the null hypothesis when it is false (C)</p> Signup and view all the answers

<p>Make it easier to detect a true effect (A)</p> Signup and view all the answers

A numerical value that describes a characteristic of a population.

A measure of the "center" of a dataset. Common measures include mean (average), median, and mode.

A measure of the spread or dispersion of data around the mean.

A value that indicates how many standard deviations a particular data point is from the mean.

The probability distribution of a statistic (like the sample mean) calculated from a random sample from the population.

The standard deviation of the sampling distribution of the mean.

A theoretical probability distribution, bell-shaped and symmetrical.

The average value of a variable in the entire population.

The exam is 1 hour and 30 minutes long. Students with agreed AEAs may have extra time.

The exam accounts for 30% of the unit mark in the course.

The exam includes multiple choice questions (MCQs) on statistical theory, application (including calculations), and data analysis using SPSS.

Students must perform data analysis on a specific data set using SPSS.

Print out the results of the data analysis using SPSS to bring to the exam.

Maximum of four double-sided pages for the analysis of Data Set One are allowed.

Students must bring a calculator, pencil, eraser, pencil sharpener, and printed analysis of Data Set One to the exam.

All answers need to be written on the provided answer sheet.

A range of values that likely contains the true population mean with 95% certainty.

A probability distribution used to estimate population parameters when the population standard deviation is unknown and the sample size is small.

A parameter in the t-distribution calculation, derived from the sample size (N-1).

Calculate by multiplying the standard error of the mean (SEM) by the appropriate t-score value.

An interval of plausible values for an unknown parameter.

The confidence interval gets narrower as the sample size increases, indicating more accuracy.

The degrees of freedom (df) determine the appropriate t-score for a particular confidence level (like 95% or 99%).

The probability of observing a sample statistic as extreme as the one observed, assuming the null hypothesis is true.

Rejecting the null hypothesis when it is actually true.

Failing to reject the null hypothesis when it is false

The probability of making a Type I error.

The probability of correctly rejecting the null hypothesis when it is false.

Used to compare the mean of a single sample to a known population mean.

Used to compare the means of two independent groups.

Used to compare the means of two dependent groups, where each data point in one group is paired with a corresponding data point in the other group.

A measure of the relative risk of an event (e.g., death) between two groups, often used in clinical trials.

A statistical test used to analyze categorical data, comparing observed frequencies to expected frequencies to assess if there is a relationship between two variables.

A graph showing the relationship between two continuous variables, where each point represents a data point.

The statistical relationship between two variables, indicating how strongly they are related and whether the relationship is positive or negative.

A mathematical equation that describes the linear relationship between two variables, allowing us to predict one variable from the other.

An equation that describes the linear relationship between two variables (e.g., drug dosage and blood pressure). The equation is typically written as y = a + bx, where 'y' is the dependent variable, 'x' is the independent variable, 'a' is the y-intercept, and 'b' is the slope.

Using the linear regression equation, we can estimate the blood pressure of an individual based on their drug dosage. To do this, substitute the given drug dosage value into the equation and solve for 'y' (blood pressure).

Analysis of Variance. A statistical test used to compare the means of three or more groups. It tests whether there is a significant difference between the group means.

A statement of no difference or no effect between groups. In ANOVA, the null hypothesis states that all group means are equal.

A statistical test conducted after ANOVA to determine which specific groups are different from each other when the overall ANOVA result rejects the null hypothesis.

The statistics exam is 1 hour and 30 minutes long. Students with agreed AEAs may have extra time.

The exam accounts for 30% of the overall unit mark for the statistics course.

You can bring a calculator, pencil, eraser, pencil sharpener, and a printout of your SPSS analysis of Data Set One to the exam. You can annotate the printout but can't take it out of the exam room.

There will be 5 MCQs on Data Set One that you analyze before the exam, and 5 MCQs on another data set that you will be given pre-analyzed.

There is no negative marking for incorrect answers on the multiple choice questions during the statistics exam.

Review the statistics content of the course, complete practice problems, and ensure you understand how to use SPSS for data analysis.

You'll need a calculator to perform calculations needed to answer the statistical theory and application questions on the exam.

A value that describes a characteristic of an entire population, like the average height of all women in a country.

The average value of a set of numbers. Calculated by adding all values and dividing by the total number of values.

A measure of how spread out the data is around the mean.

The width of the confidence interval represents the uncertainty associated with our estimate of the population mean. A wider interval indicates more uncertainty.

The t-score is used to calculate the width of the confidence interval. It is the number of standard errors of the mean (SEM) that lie between the sample mean and the upper/lower bounds of the confidence interval.

The width of the confidence interval is calculated by multiplying the standard error of the mean (SEM) by the appropriate t-score value.

As the sample size increases, the confidence interval gets narrower. This means that we have more confidence in our estimate of the population mean.

The degrees of freedom determine the appropriate t-score for a particular confidence level (e.g., 95% or 99%). Higher degrees of freedom lead to a narrower t-distribution.

Measures the strength and direction of a linear relationship between two variables.

A statistical test used to compare the means of two groups. It determines if there's a significant difference between the means.