Scientific Officer-Statistics -Practice-1
Prepare for the SPSC Scientific Officer – Statistics examination with 20 carefully developed MCQs covering probability distributions, sampling techniques, standard error, confidence intervals, hypothesis testing, Type I errors, t-tests, chi-square tests, correlation, regression, ANOVA, experimental design and Bayes' theorem. Each question includes a verified answer and an explanatory solution to strengthen statistical reasoning and support competitive exam preparation.
Practice questions
- A population has a mean of 50 and a standard deviation of 10. If an observation is 70, what is its standard score (z-score)?
- 1
- 2
- 3
- 4
- A random variable follows a binomial distribution with n = 5 and probability of success p = 0.4. What is the probability of exactly two successes?
- 0.2304
- 0.3456
- 0.4000
- 0.5000
- In a normal distribution, approximately what percentage of observations lies within one standard deviation of the mean?
- 50%
- 68%
- 95%
- 99.7%
- A researcher selects every tenth household after randomly selecting the first household from the first ten. Which sampling method is being used?
- Stratified random sampling
- Cluster sampling
- Systematic sampling
- Purposive sampling
- A population is divided into urban and rural groups, and random samples are selected separately from each group. This is:
- Simple random sampling
- Stratified random sampling
- Systematic sampling
- Convenience sampling
- What happens to the standard error of the sample mean when the sample size increases, assuming the population standard deviation remains constant?
- It increases
- It decreases
- It remains unchanged
- It becomes equal to the population mean
- A 95% confidence interval for a population mean is calculated as (42, 48). Which interpretation is statistically appropriate?
- There is a 95% probability that the fixed population mean changes between 42 and 48
- The method used would capture the true population mean in approximately 95% of repeated samples
- Exactly 95% of all population observations lie between 42 and 48
- The sample mean must be exactly 45 in every repeated sample
- In hypothesis testing, a Type I error occurs when a researcher:
- Fails to reject a false null hypothesis
- Rejects a true null hypothesis
- Accepts every alternative hypothesis
- Uses an unnecessarily large sample
- A statistical test produces a p-value of 0.03. At a significance level of 0.05, what is the appropriate decision?
- Reject the null hypothesis
- Accept the null hypothesis as certainly true
- Increase the significance level to 0.10
- Conclude that the alternative hypothesis has a 97% probability of being true
- Which statistical test is generally used to compare the means of two independent groups when population variances are unknown?
- Independent-samples t-test
- Paired-samples t-test
- Chi-square goodness-of-fit test
- One-sample proportion test
- Which test is appropriate for examining whether two categorical variables are associated in a contingency table?
- Pearson chi-square test of independence
- One-sample t-test
- Pearson correlation test for continuous variables
- Paired-samples t-test
- In simple linear regression, the coefficient of determination (R²) measures:
- The proportion of variation in the response variable explained by the fitted regression model
- The average difference between two sample means
- The probability that the regression coefficient is zero
- The number of independent variables in the model
- If the Pearson correlation coefficient between two variables is −0.90, what does this indicate?
- A strong positive linear relationship
- A weak negative linear relationship
- A strong negative linear relationship
- No linear relationship
- In a one-way analysis of variance (ANOVA), the null hypothesis states that:
- All population group means are equal
- All population variances are necessarily zero
- Every sample observation is identical
- At least one population mean must be greater than all others
- Which probability distribution is commonly used to model the number of events occurring in a fixed interval when events occur independently at a constant average rate?
- Normal distribution
- Poisson distribution
- Uniform distribution
- Student's t-distribution
- In a simple random sample of size 100, the sample mean is 40 and the population standard deviation is known to be 10. What is the standard error of the sample mean?
- 0.5
- 1
- 5
- 10
- Which condition is essential for using the paired-samples t-test?
- The two sets of observations must come from unrelated groups
- Each observation in one condition must be meaningfully paired with an observation in the other condition
- Both samples must contain exactly the same numerical values
- The dependent variable must be categorical
- In experimental design, randomization primarily helps to:
- Eliminate all measurement errors
- Reduce systematic bias in assigning treatments to experimental units
- Guarantee that every treatment produces identical results
- Remove the need for replication
- Bayes' theorem is used to calculate:
- A conditional probability using prior probability and observed evidence
- The arithmetic mean of a frequency distribution
- The standard deviation of a normal distribution
- The rank of a regression matrix
- A dataset has the values 2, 4, 6, 8 and 10. What is its population variance?
- 4
- 6
- 8
- 10
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