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A quiz or exam for a statistics (stat 2023) course at st. Petersburg college in florida. It covers various statistical concepts and methods, including one-tailed and two-tailed tests, significance levels, p-values, type i and type ii errors, hypothesis testing for proportions and means, anova, and interpreting confidence intervals. The document also includes definitions and explanations of statistical terms and concepts such as line plots, dot plots, histograms, measures of central tendency and variability, probability models, and the central limit theorem. Overall, this document could be a valuable resource for students studying statistics at the university level, providing them with practice questions, key concepts, and a comprehensive review of the material covered in the course.
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Course Title and Number: Statistics (Stat 2023) Quiz module 5 Exam Title: [Insert Exam Title] Exam Date: [Insert Exam Date] Instructor: [Insert Instructorโs Name] Student Name: [Insert Studentโs Name] Student ID: [Insert Student ID]
Instructions:
**1. Read each question carefully.
one tailed test - Answer>> 1-2a two tailed test - Answer>> 1-a significance level if type 1 is worse - Answer>> 1% significance level if type 2 is worse - Answer>> 10% significance level if both are the same - Answer>> 5% if p value is less than significance level - Answer>> reject the null hypothesis If p-value is greater than the significance level - Answer>> we fail to reject the null hypothesis if you reject the null - Answer>> there is sufficient evidence if you fail to reject null hypothesis - Answer>> there is not sufficient evidence type 1 error - Answer>> rejecting a true null hypothesis type 2 error - Answer>> failing to reject a false null hypothesis one proportion z-test - Answer>> - random sample
if the CI contains 0 - Answer>> No difference between means if the CI does NOT contain 0 - Answer>> difference between the means Statistical Question - Answer>> a question that generates a variety of answers Example : How old are the students in Core 1 Math class? Line Plot - Answer>> A method of visually displaying a distribution of data values where each data value is shown as a dot or mark above a number line. Dot Plot - Answer>> A method of visually displaying a distribution of data values where each data value is shown as a dot or mark above a number line. Also known as a dot plot. See line plot. Histogram - Answer>> A graph of vertical bars representing the frequency distribution of a set of data. Mean - Answer>> An average computed by summing the values of several observations and dividing by the number of observations. Median - Answer>> A measure of center in a set of numerical data. The median of a list of values is the value appearing at the center of a sorted version of the list - or the mean of the two central values if the list contains an even number of values. Middle Number Mode - Answer>> Most frequently occurring score
Measure of central tendency that uses most frequently occurring score. It is the number in the set that occurs most often Range - Answer>> Distance between highest and lowest scores in a set of data. Mean Absolute Deviation - Answer>> the average distance of each data value from the mean. The MAD is a gauge of "on average" how different the data values are form the mean value. Lower Quartile - Answer>> The median of the lower half of data (box & whisker). 25% quartile. The median of the lower data values in order. Upper Quartile - Answer>> The median of the upper half of a set of data. The median of the upper half of data (box & whisker). Inner Quartile - Answer>> contains 50% of your data subtract IQ from UQ Skewed - Answer>> A distribution that is asymmetrical (somehow not equal or equivalent) Cluster - Answer>> A number of similar things grouped together A group of data points that are very close together Peak - Answer>> A high point or a pointed end Gap - Answer>> In a line plot or dot plot a large distance between data Upper Extreme - Answer>> the largest number of a set of data
the sum of probabilities should be equal to ______ - Answer>> one The assignment of a probability to each potential discrete outcome is what characterizes a
_______________ (pmf) - Answer>> probability mass function pmf.. binary outcomes - Answer>> Bernoulli pmf.. discrete outcomes non-negative integer outcomes with an upper limit - Answer>> binomial pmf.. for discrete outcomes - Answer>> multinomial pmf.. discrete non-negative integer outcomes without an upper limit - Answer>> Poisson A ____________________ ______________ ______________ (pdf) is the analog of the pmf but it is used for continuous outcomes - Answer>> probability density function A ________ is defined in such a way that the area beneath the curve between 1.7 and 1.8 is equal to this probability - Answer>> pdf pdf..
Important features of this function are that it must be non- negative and that the area under the curve should be equal to _______. - Answer>> one pdf.. for continuous outcomes constrained to be positive - Answer>> gamma pdf.. for continuous outcomes constrained to be between 0 and 1 - Answer>> beta pdf.. or continuous outcomes without any constraints - Answer>> normal his remarkable theorem states that, even if data are not normally distributed (e.g., Poisson, Binomial), some statistics (e.g., mean or some regression parameters) are normally distributed for large sample sizes - Answer>> central limit theorem ________________ ____________________ is a symmetric probability density function that describes outcomes that are not constrained in any particular way (e.g., outcomes do not have to be positive) - Answer>> normal distribution normal distribution.. mean and the variance, correspond to the center and the spread of the distribution - Answer>> two parameters normal distribution..
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