C883 Statistics and Probability for Secondary Mathematics Teaching

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Free C883 Statistics and Probability for Secondary Mathematics Teaching Questions

1.

A uniform distribution over (0, 10) has mean:

  • 5​
  • 0​
  • 10​
  • 2.5

Explanation

Explanation
For a continuous uniform distribution over the interval (a, b), the mean is calculated as (a + b)/2. Substituting a = 0 and b = 10, the mean = (0 + 10)/2 = 5. Teaching this formula helps students calculate expected values for evenly distributed data.
Correct Answer:
5
2.

A teacher plots height vs shoe size. r² = 0.64 means:

  • 64% of variability in height explained by shoe size​
  • 64% causation​
  • 36% error​
  • Correlation is 0.8

Explanation

Explanation
The coefficient of determination (r²) represents the proportion of variance in the dependent variable that is explained by the independent variable. An r² of 0.64 means that 64% of the variability in height can be explained by shoe size. This helps students understand how well one variable predicts another, without implying causation.
Correct Answer:
64% of variability in height explained by shoe size
3.

A test statistic z = 2.1, p-value = 0.0357. At α = 0.01:

  • Reject H₀​
  • Fail to reject H₀​
  • Accept H₀​
  • Recalculate

Explanation

Explanation
The decision rule for hypothesis testing is to reject the null hypothesis if the p-value is less than the significance level α. Here, p-value = 0.0357, which is greater than α = 0.01. Therefore, there is not enough evidence to reject H₀, and the correct decision is to fail to reject it. This teaches students how to interpret p-values relative to significance levels.
Correct Answer:
Fail to reject H₀
4.

A teacher records the number of students late to class each day for 30 days. This follows a:

  • Binomial distribution​
  • Normal distribution​
  • Poisson distribution​
  • Uniform distribution

Explanation

Explanation
The number of students late per day is a count of events occurring within a fixed interval (a day). When events are rare or occur independently, the Poisson distribution models the probability of a given number of occurrences. Teaching this helps students understand appropriate probability models for count data versus proportions or continuous measurements.
Correct Answer:
Poisson distribution
5.

Range is $50 for salaries. Adding outlier $1,000,000 changes range to:

  • Still $50​
  • ~$1,000,000​
  • Unchanged IQR​
  • Both b and c

Explanation

Explanation
The range is calculated as the difference between the maximum and minimum values. Adding an extreme outlier like $1,000,000 drastically increases the maximum, so the range jumps from $50 to nearly $1,000,000. The interquartile range (IQR), however, measures the spread of the middle 50% of the data and is not affected by extreme values. Therefore, the range changes drastically while the IQR remains the same.
Correct Answer:
Both b and c
6.

In a standard normal distribution, P(Z < -1.96) ≈

  • 0.025​
  • 0.050​
  • 0.950​
  • 0.975

Explanation

Explanation
In a standard normal distribution, Z = -1.96 corresponds to the lower 2.5% of the distribution. This is based on the empirical rule and standard normal tables. Teaching this concept helps students understand tail probabilities and the basis for two-tailed hypothesis tests at α = 0.05.
Correct Answer:
0.025
7.

In a randomized experiment on teaching methods, the control group receives:

  • New method​
  • Traditional method​
  • No instruction​
  • Double dose

Explanation

Explanation
In an experiment, the control group serves as a baseline and receives the standard or traditional treatment for comparison. This allows the effect of the new teaching method to be isolated and evaluated. Teaching students about control groups emphasizes the importance of comparison in experimental design.
Correct Answer:
Traditional method
8.

P(event) = 0 means the event is:

  • Certain​
  • Impossible​
  • 50–50​
  • Likely

Explanation

Explanation
A probability of 0 indicates that an event cannot occur under any circumstance; it is impossible. This contrasts with a probability of 1, which indicates certainty. Understanding this helps students distinguish between impossible, unlikely, and certain events in probability lessons.
Correct Answer:
Impossible
9.

The null hypothesis for testing if a new teaching method improves scores is usually:

  • μ_new > μ_old​
  • μ_new = μ_old​
  • μ_new ≠ μ_old​
  • μ_new < μ_old

Explanation

Explanation
The null hypothesis (H₀) typically states that there is no effect or difference—in this case, that the new teaching method does not change the mean score compared to the old method. Therefore, H₀: μ_new = μ_old. This sets up a framework for testing whether observed differences are statistically significant.
Correct Answer:
μ_new = μ_old
10.

Pie chart limitation for teaching:

  • Hard to compare slices accurately​
  • Shows trends over time​
  • Handles negative values​
  • Best for continuous data

Explanation

Explanation
Pie charts represent data as proportional slices of a circle. While they effectively show relative contributions of categories, it is difficult to compare slices accurately, especially when the differences are small. Pie charts do not display trends over time, cannot handle negative values, and are best suited for categorical rather than continuous data, which limits their instructional usefulness in some contexts.
Correct Answer:
Hard to compare slices accurately

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