All questions
- A car is running at 12 m/s the force of the car is 1000 N , what is the mass of the car? To determine the mass of the car, we can use Newton's second law of motion, which states that force (F) is equal to mass (m) multiplied by a... 1
- How do you stop focusing on others too much and kind your beeswax? Stopping yourself from focusing too much on others and minding your own business involves a combination of self-awareness, mindset shifts, a... 1
- How do I calculate momentum? Momentum is calculated using the formula: Momentum (p) = Mass (m) × Velocity (v) Where: Momentum (p) is measured in kilogram meters per seco... 1
- What are the landmark discoveries in physics since 2000? Since the year 2000, there have been several landmark discoveries and developments in the field of physics. Here are some notable ones: Disc... 1
- How will I overcome difficult situations? Overcoming difficult situations requires a combination of emotional resilience, problem-solving skills, and a positive mindset. Here are som... 1
- Define ‘t’ test. Explain the different situations where paired and unpaired ‘t’ tests applied The t-test is a small-sample test (population SD unknown) that checks whether a mean, or the difference between two means, is statistically... 1
- Discuss- Histogram, Bar diagram. A histogram represents a continuous frequency distribution with touching bars; a bar diagram represents discrete or categorical data with se... 1
- Briefly describe the different distribution patterns of data. Data can be distributed in different shapes: symmetric (normal), positively skewed, negatively skewed, uniform, bimodal/multimodal and J-sha... 1
- Explain one way ANOVA and the assumptions in one way ANOVA. One-way ANOVA compares the means of three or more groups that differ in one factor, using F = MSB/MSW ; it assumes independence, normality a... 1
- Explain chi square test for Goodness of fit. The chi-square goodness-of-fit test checks whether observed frequencies agree with the frequencies expected from a theoretical distribution,... 1
- Explain with examples- Histogram, Pie chart. A histogram shows the frequency distribution of continuous (numerical) data using adjacent bars; a pie chart shows how a whole is divided in... 1
- Explain ANOVA and its significance. ANOVA (Analysis of Variance) tests whether three or more population means are equal by splitting the total variation into variation between... 1
- Explain student‘t’ test and its applications. Student's t-test is a test of significance for means when the sample is small (usually n < 30 ) and the population standard deviation is unk... 1
- Describe the various of graphical methods of representing quantitative data. The main graphical methods for quantitative data are the histogram, frequency polygon, frequency curve, ogive, stem-and-leaf plot, box plot,... 1
- Explain the hypothesis testing using one way of ANOVA. One-way ANOVA tests H₀: μ₁ = μ₂ = dots = μ_k by comparing the variance between group means with the variance within groups through F = MSB/M... 1
- Explain probability and its significance in statistical analysis. Probability is the measure of how likely an event is, expressed from 0 (impossible) to 1 (certain); it is the foundation of statistical anal... 1
- Discuss with examples measures of central tendency. Measures of central tendency give a single value that represents the centre of the data; the three main ones are the mean, median and mode.... 1
- Explain null hypothesis, type I and type II errors. The null hypothesis ( H₀ ) is the statement of "no effect / no difference" that a test tries to reject; a Type I error is rejecting a true H... 1
- Explain correlation, types of correlation and its applications. Correlation is the statistical relationship between two variables, showing whether and how strongly they move together; it is measured by th... 1
- Explain the graphical methods of representing quantitative data. Quantitative data is shown graphically mainly by histograms, frequency polygons, frequency curves, ogives (cumulative frequency curves), ste... 1
- Discuss different methods of sampling. Sampling methods are of two kinds: probability sampling (every unit has a known chance of selection) and non-probability sampling (selection... 1
- Explain ANOVA and its applications. ANOVA (Analysis of Variance) is a test that checks whether the means of three or more groups are equal, by comparing the variation between g... 1
- What are measures of dispersion? Explain. Measures of dispersion tell how spread out the data values are around a central value; the main ones are range, quartile deviation, mean dev... 1
- Define probability and explain its significance in statistical inference with examples. Probability is a number between 0 and 1 that measures how likely an event is; in statistical inference it is the tool that lets us draw conc... 1