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Statistics Questions from Dec 18,2024

Browse the Statistics Q&A Archive for Dec 18,2024, featuring a collection of homework questions and answers from this day. Find detailed solutions to enhance your understanding.

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4) The morning after a big snowfall, 4 students were late for class due to snowy roads. The teacher had expected that 6 students would be late for class. What is the percent error for the teacher's prediction? 4i) If necessary, round your answer to the nearest tenth of a percent. When giving the definitions to the terminologies, try to use your own words. SECTION 1.1 - INTRODUCTION TO THE PRACTICE OF STATISTICS 1. Give the definition of statistics. 2. List the 4 processes of statistics given in the textbook/lecture notes. Identify which section(s) or ch of the book where each of these processes will be discussed. 3. There are two major areas of statistics: 1) descriptive statistics and 2 ) inferential statistics. a. Give the definition of descriptive statistics (Note: the \( 3^{\text {rd }} \) process of statistics refers to this ar b. Give the definition of inferential statistics (Note: the \( 4^{\text {th }} \) process of statistics refers to this are 4. What is the difference between a statistic and a parameter? 5. Give the definitions of population, sample, and individual. Draw a diagram that illustrates how they a related. In which of the 4 steps in the process of statistics do you have to identify these? 6. What is a variable? Give 5 examples of a variable. 7. There are two ways to classify variables: a. Classification of a variable as either qualitative or quantitative. i. Give the definition of a qualitative variable. ii. Give the definition of a quantitative variable. Give the two subcategories of a quantitativ variable and state the main difference between them. b. Classification of a variable by the level of measurement. i. List the 4 levels of measurement and give their definition. \( \begin{array}{l}\text { What is the mode? } \\ -10 \\ -3 \\ -9\end{array}-10 \quad-6-9-6-6 \) If a scatter plot shows points that are closely clustered together, what can you infer about the correlation between the variables? Complete: La varianza nos indica la variabilidad de los datos, es decir que tan alejados están los datos de su ___ a. centro b. directriz c. diferencia d. media ¿Cuál es la fórmula para calcular la mediana en datos agrupados? a. \( \sum X_{i} f_{i} \) b. \( L_{i}+A_{i}\left[\frac{f_{i+1}}{f_{i-1}+f_{i+1}}\right] \) c. \( \frac{\sum x_{i} f_{i}}{N} \) d. \( L_{i}+A\left[\frac{\left(\frac{N}{2}\right)-F_{a i}}{f_{i}}\right] \) 11. Consider the study below: A professor wants to know whether the extra help she provides outside of class causes students to perform better on exams. She looks up the score of each student on the exam and whether or not each student attended office hours that week. She discovers that students who attended her office hours scored 15 percentage points higher on the exam than students who did not attend her office hours. a) Identify the explanatory variable and the response variable. b) Explain why each study does not give evidence of a causal relationship. In your explanation, identify one potential lurking variable and explain how it could confound the casual relationship. 10. Determine the type of experimental design as matched pair, completely randomized, or randomized block: A company wants to study the relationship between product placement on a shelf and sales volume. Twenty stores of comparable size are selected and 5 stores are randomly assigned to each of the 4 shelf levels. After a month, the sales volumes of each group are compared. Match the name of the sampling method descriptions given. \( \begin{array}{llll}\text { a) Simple Random } & \text { b) Convenience } & \text { c) Systematic } & \text { d) Cluster }\end{array} \) e) Stratified asking people on the street pulling 50 names from a hat dividing by population by voting precinct, and sampling everyone in the precints selected call every 15th phone number on every 5th page of the phone book 7. Identify the type of sampling used as simple random, stratified, cluster, systematic, or conventence: Students at a university are classified necording to major. The ndministration randomly nelects five majora, All students majoring in those five areas are surveyed.
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