Statistics 1

Practice bank

Every question, cut by section

All 95 questions in this paper in one place, filterable down to a single spec section when you know what you’re bad at — and mixed by default, because the real paper never tells you which section you’re in.

Section

Mode

Every pick reveals its explanation immediately here — right or wrong, and why. Switch to Drill when you want to rehearse the real paper’s pacing instead: a timed countdown, with feedback withheld until the whole set is done.

Pool

From Mathematical modelling in probability and statistics

Question 1
1 mark

Which of these best describes what a mathematical model is, in the sense spec item 1.1 means it?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 2
2 marks

For a frequency table with midpoints xx, frequencies ff, and n=Σfn = \Sigma f, which expression correctly defines the standard deviation?

From Elementary probability, and conditional-probability notation

Question 3
2 marks

Let NN = 'a customer buys a newspaper' and MM = 'a customer buys a magazine'. Which expression correctly represents 'the probability a customer buys a magazine, GIVEN that they have already bought a newspaper'?

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 4
2 marks

A Venn diagram for a class of 60 students and events AA (studies French) and BB (studies Spanish) shows 18 students in AA only, 22 in BB only, and 12 in both. How many students are outside both circles, and how should that be shown on the diagram?

From Regression — gradient interpretation and extrapolation/reliability

Question 5
2 marks

A regression line is fitted to data recorded for xx between 10 and 50. Which of these predictions is NOT extrapolation?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 6
2 marks

A discrete random variable XX has Var(X)=9\text{Var}(X) = 9. Student 1 finds Var(3X)\text{Var}(3X); Student 2 finds Var(−3X)\text{Var}(-3X). Which statement is correct?

From Mathematical modelling in probability and statistics

Question 7
1 mark

A question begins: "A fair six-sided die is rolled once." What does the word "fair" actually license you to write down?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 8
2 marks

A data set XX is coded as Y=(X−40)/4Y = (X - 40) / 4. Given Var(Y)=5\text{Var}(Y) = 5, what is Var(X)\text{Var}(X)?

From Elementary probability, and conditional-probability notation

Question 9
2 marks

A weather forecaster writes P(rain tomorrow∣cloudy today)=0.6P(\text{rain tomorrow} \mid \text{cloudy today}) = 0.6. What does this number represent?

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 10
3 marks

A bag contains 5 counters: 2 red and 3 green. Two counters are drawn at random, WITH replacement. What is P(both red)P(\text{both red})?

From Regression — gradient interpretation and extrapolation/reliability

Question 11
2 marks

A student correctly finds Sxx=25S_{xx} = 25 and Sxy=40S_{xy} = 40 for a dataset, and correctly finds xˉ=4\bar x = 4, yˉ=11\bar y = 11. Which of these is an acceptable way to state the final regression line?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 12
3 marks

A company pays each employee a monthly bonus, in dollars, B=50N−20B = 50N - 20, where NN is the random number of new clients that employee brings in that month. Records show E(N)=4E(N) = 4 and Var(N)=1.5\text{Var}(N) = 1.5. Find E(B)E(B) and Var(B)\text{Var}(B).

From Mathematical modelling in probability and statistics

Question 13
1 mark

A question states "model the journey times as Normally distributed," then later shows a box plot of the same data with strong positive skew. What does this situation best illustrate?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 14
2 marks

A student's working for the standard deviation of a set of exam scores (out of 100) produces a final answer of 236. What should immediately raise suspicion, beyond re-checking the algebra?

From Elementary probability, and conditional-probability notation

Question 15
2 marks

A card is drawn from a standard 52-card deck (4 Kings, 4 Queens, 44 others). Given that the card is a King or a Queen, find the probability it is a King.

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 16
3 marks

A spinner is divided into 5 equal sections: 3 blue and 2 yellow. It is spun twice. What is P(exactly one yellow)P(\text{exactly one yellow})?

From Regression — gradient interpretation and extrapolation/reliability

Question 17
2 marks

Using the fitted line y^=10.1+4.25x\hat y = 10.1 + 4.25x from this lesson's dataset, a manager notices weekly enquiries have risen by 21.25 compared to a previous week. According to the model, how much extra was spent on advertising (in dollars) to produce that rise?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 18
1 mark

Which of the following would you need to recall from memory in a WST01 exam, rather than being able to look up in the Mathematical Formulae and Statistical Tables booklet?

From Mathematical modelling in probability and statistics

Question 19
2 marks

In the real WST01 question this lesson's worked chain is built from (Jan 2025, Q1), a second die — blue, with faces numbered 1, 3, 5, 7 — is also stated to be fair, and its score is modelled by BB. Which of these correctly describes BB's distribution, and why?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 20
2 marks

A frequency table has values 10, 20, 30, 40 with frequencies 3, 5, 7, 5 (Σf=20\Sigma f = 20). What is the mean?

From Elementary probability, and conditional-probability notation

Question 21
3 marks

Three fair coins are tossed. By listing the sample space systematically, find P(exactly two heads)P(\text{exactly two heads}).

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 22
3 marks

A bag contains 8 counters: 5 green and 3 blue. Three counters are drawn at random, one after another, without replacement. What is P(all three the same colour)P(\text{all three the same colour})?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 23
2 marks

A discrete random variable XX can take the values 0,1,20, 1, 2 and 33 only. A student writes p(1)=0.2p(1) = 0.2, p(2)=0.4p(2) = 0.4, p(3)=0.3p(3) = 0.3 and stops, treating this as the complete probability function. What does checking ∑p(x)=1\sum p(x) = 1 reveal?

From The Normal distribution — standardisation, table precision, and conditional probability

Question 24
1 mark

X∼N(30,42)X \sim N(30, 4^2). A student wants P(X<34)P(X < 34). After standardising to z=1z = 1 and reading Φ(1)=0.8413\Phi(1) = 0.8413 from the table, what should they do next?

From Mathematical modelling in probability and statistics

Question 25
2 marks

A question models daily rainfall as Normally distributed, then later states that real data shows a small number of days with far higher rainfall than the model predicts as at all likely, while ordinary days fit the model well. Which response best identifies what's happening, in the terms this lesson has used?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 26
2 marks

A grouped frequency table has n=39n = 39. One student finds Q1Q_1's position using n/4=9.75n/4 = 9.75; another uses (n+1)/4=10(n+1)/4 = 10. Both interpolate correctly from their own position within whichever class it falls into. What's true of their two final answers?

From Conditional probability, and independence vs. mutually exclusive

Question 27
2 marks

Events AA and BB satisfy P(A)=0.3P(A) = 0.3, P(B)=0.4P(B) = 0.4, and P(A∩B)=0P(A \cap B) = 0. What can you correctly conclude?

From Correlation coefficient and regression — the calculation mechanics

Question 28
1 mark

You already know how to find SxxS_{xx} and SxyS_{xy} for a regression line. To find rr, the product moment correlation coefficient, you need one more summary quantity. Which one, and why does the gradient bb never need it?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 29
2 marks

A discrete random variable YY has probability function p(y)=cyp(y) = cy for y=1,2,3,4y = 1, 2, 3, 4, where cc is a constant. What is the FIRST line of working needed to find cc?

From The Normal distribution — standardisation, table precision, and conditional probability

Question 30
1 mark

A question requires the value of zz such that P(Z>z)=0.05P(Z > z) = 0.05. The Percentage Points of the Normal Distribution table gives this value to 4 decimal places. Which written answer is correct exam technique?

From Mathematical modelling in probability and statistics

Question 31
1 mark

Spec 1.1 is examined through AO3, worth 15-20 of this paper's 75 marks — and the reviewed past-paper record shows this content is embedded inside other questions rather than tested as a standalone question of its own. What does this mean practically for how to revise it?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 32
2 marks

Group C has 20 data values, mean 45, standard deviation 3. To combine it with another group, you need Σx2\Sigma x^2 for Group C. Which expression is correct?

From Conditional probability, and independence vs. mutually exclusive

Question 33
3 marks

Of 150 people surveyed, 60 own a car (CC) and 45 own a bicycle (BB); 20 own both. Find P(C∣B)P(C \mid B).

From Correlation coefficient and regression — the calculation mechanics

Question 34
1 mark

A large, unwieldy dataset is coded (e.g. subtracting a fixed value and dividing by another) purely to make the arithmetic manageable before finding its PMCC. Which best describes how that coding affects the actual value of rr?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 35
2 marks

A discrete random variable WW is Discrete Uniform on the values {5,10,15,20}\{5, 10, 15, 20\} — these four values are equally likely. What is p(10)p(10)?

From The Normal distribution — standardisation, table precision, and conditional probability

Question 36
1 mark

M∼N(μ,σ2)M \sim N(\mu, \sigma^2). A question gives you that M>40M > 40, and asks for P(M>55∣M>40)P(M > 55 \mid M > 40). What kind of calculation is this?

From Reading Data Representations, and Comparing Distributions in Words

Question 37
2 marks

A histogram bar for the class 4≤x<84 \leq x < 8 (width 4) has height (frequency density) 5. What is the frequency for this class?

From Outliers, Box Plots, and Comparing Distributions

Question 38
2 marks

A data set has Q1=20Q_1 = 20 and Q3=32Q_3 = 32. Using the rule "a value is an outlier if it is more than 1.5×IQR1.5 \times IQR beyond the nearer quartile," what is the correct LOWER fence?

From Conditional probability, and independence vs. mutually exclusive

Question 39
3 marks

Two fair six-sided dice are rolled. AA = 'the first die shows a 6'. BB = 'the two dice sum to 7'. Are AA and BB independent?

From Correlation coefficient and regression — the calculation mechanics

Question 40
1 mark

A calculation for rr involves dividing by a square root — for example, 90÷1500090 \div \sqrt{15000} — and the final answer needs to be given to 3 significant figures. What's the safest amount of precision to use for the square root itself, before dividing?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 41
2 marks

A discrete random variable XX takes the values 1, 2, 3, 4 with p(1)=0.1p(1)=0.1, p(2)=0.2p(2)=0.2, p(3)=0.3p(3)=0.3, p(4)=0.3p(4)=0.3. A student checks that every one of these four numbers lies between 0 and 1, and concludes this is a valid probability function. Is the student's check sufficient?

From The Normal distribution — standardisation, table precision, and conditional probability

Question 42
3 marks

X∼N(40,62)X \sim N(40, 6^2). Find P(X<46)P(X < 46).

From Reading Data Representations, and Comparing Distributions in Words

Question 43
2 marks

In a back-to-back stem-and-leaf diagram, which leaf represents the SMALLEST value on the LEFT-hand side of a row?

From Outliers, Box Plots, and Comparing Distributions

Question 44
2 marks

A data set contains one very large outlier. Why might the median be quoted as "a typical value" rather than the mean?

From Conditional probability, and independence vs. mutually exclusive

Question 45
2 marks

Events CC and DD satisfy P(C)=0.6P(C) = 0.6, P(D)=0.5P(D) = 0.5, and P(C∩D)=0.3P(C \cap D) = 0.3. Are CC and DD independent, mutually exclusive, both, or neither?

From Correlation coefficient and regression — the calculation mechanics

Question 46
2 marks

For a dataset, Sxx=16S_{xx} = 16, Syy=25S_{yy} = 25, Sxy=18S_{xy} = 18. What is the product moment correlation coefficient rr?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 47
2 marks

A discrete random variable XX has p(1)=0.15p(1)=0.15, p(2)=0.35p(2)=0.35, p(3)=0.25p(3)=0.25, p(4)=0.25p(4)=0.25. Find F(3)F(3).

From The Normal distribution — standardisation, table precision, and conditional probability

Question 48
1 mark

A question needs the z-value satisfying P(Z>z)=0.05P(Z > z) = 0.05. Which value should be written down?

From Reading Data Representations, and Comparing Distributions in Words

Question 49
2 marks

When a question asks you to compare two distributions, which response earns full marks?

From Outliers, Box Plots, and Comparing Distributions

Question 50
2 marks

A box plot's upper fence, from the rule given in the question, works out at 50. The data's true maximum is 61, which the rule identifies as an outlier; the highest value that is NOT an outlier is 46. Where should the upper whisker actually end?

From Conditional probability, and independence vs. mutually exclusive

Question 51
3 marks

In a class, P(studies Chemistry)=0.5P(\text{studies Chemistry}) = 0.5, P(studies Biology)=0.6P(\text{studies Biology}) = 0.6, and P(studies both)=0.2P(\text{studies both}) = 0.2. Find P(Biology∣NOT Chemistry)P(\text{Biology} \mid \text{NOT Chemistry}).

From Correlation coefficient and regression — the calculation mechanics

Question 52
2 marks

A dataset is coded using u=x−505u = \dfrac{x-50}{5} and v=y−202v = \dfrac{y-20}{2} to simplify the arithmetic. The PMCC of the coded data, ruvr_{uv}, is found to be 0.640.64. What is rr for the original, uncoded xx and yy data?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 53
2 marks

A discrete random variable TT is Discrete Uniform on {3,6,9,12,15}\{3,6,9,12,15\}. Using symmetry, what is E(T)E(T)?

From The Normal distribution — standardisation, table precision, and conditional probability

Question 54
3 marks

Y∼N(70,102)Y \sim N(70, 10^2). Given that P(Y<y)=0.05P(Y < y) = 0.05, find the value of yy.

From Reading Data Representations, and Comparing Distributions in Words

Question 55
2 marks

A histogram bar for the class 8≤x<128 \leq x < 12 (width 4) has height (frequency density) 6.5. What is the frequency for this class?

From Outliers, Box Plots, and Comparing Distributions

Question 56
3 marks

A data set has Q1=18Q_1 = 18 and Q3=30Q_3 = 30. Using the rule "an outlier is a value more than 1.5×IQR1.5 \times IQR beyond the nearer quartile," is the value 47 an outlier?

From Conditional probability, and independence vs. mutually exclusive

Question 57
2 marks

Events EE and FF satisfy P(E)=0.2P(E) = 0.2, P(F)=0.3P(F) = 0.3, P(E∩F)=0.06P(E \cap F) = 0.06. A student writes: 'E and F are independent, because their probabilities are both small, so they can't really affect each other.' Is the student's final answer correct, and is the reasoning acceptable?

From Correlation coefficient and regression — the calculation mechanics

Question 58
1 mark

A question asks: 'Find r, giving your answer to 3 significant figures,' and your working reaches the step 90÷1500090 \div \sqrt{15000}. What's the safest way to evaluate this?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 59
3 marks

A discrete random variable UU is Discrete Uniform on {2,4,6}\{2,4,6\}. Find Var(U)\text{Var}(U).

From The Normal distribution — standardisation, table precision, and conditional probability

Question 60
4 marks

M∼N(25,42)M \sim N(25, 4^2). Given that M>20M > 20, find P(M>28∣M>20)P(M > 28 \mid M > 20).

From Reading Data Representations, and Comparing Distributions in Words

Question 61
3 marks

Class P: width 10, frequency density 2. Class Q: width 3, frequency density 5.

Which class contains MORE data values?

From Outliers, Box Plots, and Comparing Distributions

Question 62
3 marks

For this data (Q1 = 40, Q3 = 52), a value is defined as an outlier if it lies more than 2 × IQR beyond the nearer quartile.

Is the value 73 an outlier, under the rule as stated in THIS question?

From Conditional probability, and independence vs. mutually exclusive

Question 63
3 marks

Two fair six-sided dice are rolled. AA = 'the first die shows a 6' and BB = 'the two dice sum to 7' — the same pair of events already shown earlier in this lesson to be independent. Which of the following events DD is mutually exclusive with AA, but still has P(B∩D)>0P(B \cap D) > 0?

From Correlation coefficient and regression — the calculation mechanics

Question 64
2 marks

A scatter diagram shows a clear U-shaped relationship between xx and yy: as xx increases, yy first decreases, then increases. The PMCC for this data works out as r=0.04r = 0.04. Which is the most defensible conclusion?

From Discrete random variables — the probability function and the discrete uniform distribution

Question 65
2 marks

Two fair four-sided spinners are used independently: spinner PP shows 1, 2, 3, 4 and spinner QQ shows 2, 4, 6, 8, each value equally likely (both are discrete uniform distributions). What is P(P=2 and Q=2)P(P=2 \text{ and } Q=2)?

From The Normal distribution — standardisation, table precision, and conditional probability

Question 66
1 mark

A 'show that' question asks a student to show that P(X>24)=0.15P(X > 24) = 0.15 for some X∼N(μ,σ2)X \sim N(\mu, \sigma^2).

Which response is certain to earn full marks?

From Reading Data Representations, and Comparing Distributions in Words

Question 67
2 marks

Group A (Oak saplings, n=11n = 11), sorted: 12, 15, 19, 21, 23, 26, 28, 29, 34, 37, 39.

What is Q1Q_1 for Group A?

From Outliers, Box Plots, and Comparing Distributions

Question 68
2 marks

A box plot has Q1=15Q_1 = 15, median =19= 19, Q3=21Q_3 = 21, with whiskers reaching 5 (minimum) and 24 (maximum, not an outlier). What does this suggest about the skew of the distribution?

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 69
2 marks

A box contains 5 discs: 3 black and 2 white. One disc is removed at random and not replaced. Given that the disc removed was black, what is the probability that a second disc, taken from what remains, is also black?

From Regression — gradient interpretation and extrapolation/reliability

Question 70
1 mark

A shop records how much it spends on advertising each week (xx, in hundreds of dollars) and how many customer enquiries it receives that week (yy). Which variable is the explanatory variable, and which is the response variable?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 71
2 marks

A discrete random variable XX has E(X)=5E(X) = 5 and Var(X)=3\text{Var}(X) = 3. The random variable YY is defined by Y=2X+1Y = 2X + 1. What is Var(Y)\text{Var}(Y)?

From "Show that" answer discipline

Question 72
3 marks

X ~ N(170, 625). Show that P(X > 196) = 0.15, correct to 2 significant figures. (3 marks)

Which response below is certain to score all 3 marks?

From Reading Data Representations, and Comparing Distributions in Words

Question 73
3 marks

Group A: median growth 26 cm, IQR 15 cm. Group B: median growth 24 cm, IQR 11 cm.

Which response to "compare the growth of the two groups" would be awarded full marks?

From Outliers, Box Plots, and Comparing Distributions

Question 74
2 marks

A data set has Q1=10Q_1 = 10, Q3=25Q_3 = 25. Using 1.5×IQR1.5 \times IQR, the upper fence is 47.5. The highest value in the data that is NOT an outlier is 40; one value, 55, is an outlier. Where does the upper whisker end, and where is 55 shown?

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 75
2 marks

On a Venn diagram for events A and B, P(A)=0.4P(A) = 0.4, P(B)=0.5P(B) = 0.5 and P(A∩B)=0.2P(A \cap B) = 0.2. Are A and B independent?

From Regression — gradient interpretation and extrapolation/reliability

Question 76
1 mark

The least squares regression line for this data turns out to be y^=10.1+4.25x\hat y = 10.1 + 4.25x, where xx is spend in hundreds of dollars. What does the number 4.25 actually measure?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 77
2 marks

A discrete random variable XX has Var(X)=10\text{Var}(X) = 10. For which transformation below is Var(Y)\text{Var}(Y) also equal to 1010?

From "Show that" answer discipline

Question 78
2 marks

Show that the interquartile range of the volunteers' ages (grouped data, n = 50) is 16.25.

A script states Q1=26Q_1 = 26 and Q3=42.25Q_3 = 42.25, giving IQR =16.25= 16.25, with no working shown for either quartile. What is the safest description of what this earns?

From Reading Data Representations, and Comparing Distributions in Words

Question 79
2 marks

Group A's (Oak) data is extended: five more saplings' growth readings are added to the original 11, taking the group to n=16n = 16. The new sorted values are 12, 13, 14, 15, 19, 21, 23, 2m2m, 26, 28, 29, 32, 34, 36, 37, 39, where 2m2m is a stem-2 leaf whose digit mm is unknown — its position in the diagram fixes only that 3<m<63 < m < 6 (it sits between the known leaves 3 and 6, i.e. between the values 23 and 26), not which of the two possible digits it is. The median height for this extended Group A data set is 25.5 cm.

Find the value of mm.

From Outliers, Box Plots, and Comparing Distributions

Question 80
2 marks

Data set A has a higher median (42 minutes) than data set B (35 minutes). Which response to "compare the typical time recorded by A and B" would be awarded full marks?

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 81
2 marks

A Venn diagram for events A and B is drawn inside a rectangle representing the sample space. P(A only)=0.3P(A \text{ only}) = 0.3, P(B only)=0.25P(B \text{ only}) = 0.25 and P(A∩B)=0.15P(A \cap B) = 0.15. What value belongs in the region of the rectangle outside both circles?

From Regression — gradient interpretation and extrapolation/reliability

Question 82
1 mark

Using y^=10.1+4.25x\hat y = 10.1 + 4.25x, someone predicts the enquiries when $5000 is spent on advertising (x=50x = 50), even though the data used to fit the line only ever recorded spending between $200 and $1000. What's the soundest judgement of that prediction?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 83
2 marks

A discrete random variable XX has E(X)=3E(X) = 3 and Var(X)=2\text{Var}(X) = 2. The random variable WW is defined by W=5−2XW = 5 - 2X (so a=−2a = -2, b=5b = 5). What is Var(W)\text{Var}(W)?

From "Show that" answer discipline

Question 84
2 marks

Having correctly calculated the outlier boundaries as 8 and 52, a question asks you to "show that there are 3 outliers" in a dataset. What must your answer additionally include to be safe?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 85
2 marks

A grouped frequency table has 5 classes and Σf=40\Sigma f = 40. To find the mean, what should Σfx\Sigma fx actually be divided by?

From Elementary probability, and conditional-probability notation

Question 86
2 marks

A fair 4-sided die (faces 1, 2, 3, 4) is rolled twice. By listing the sample space systematically, find P(the two scores are different)P(\text{the two scores are different}).

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 87
3 marks

A bag contains 7 counters: 4 orange and 3 purple. Two counters are drawn at random, one after another, without replacement. What is P(first orange, then purple)P(\text{first orange, then purple})?

From Regression — gradient interpretation and extrapolation/reliability

Question 88
3 marks

For a different dataset, n=6n = 6, ∑x=54\sum x = 54, ∑y=96\sum y = 96, ∑x2=522\sum x^2 = 522, ∑xy=918\sum xy = 918. What is the gradient bb of the regression line of yy on xx?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 89
2 marks

A discrete random variable XX has E(X)=6E(X) = 6 and E(X2)=40E(X^2) = 40. A student writes: "Var(X)=E(X2)=40\text{Var}(X) = E(X^2) = 40." What is wrong with this, and what is the correct value of Var(X)\text{Var}(X)?

From "Show that" answer discipline

Question 90
1 mark

A real WST01 question gives Sxy=12105.12S_{xy} = 12105.12 and Sxx=16769.78S_{xx} = 16769.78, and asks you to show that the regression line is g=−42.3+0.722dg = -42.3 + 0.722d (3 s.f.) — the actual Jun 2024 Q4(c).

What is the safest working practice for how many decimal places to carry the gradient b=Sxy/Sxxb = S_{xy}/S_{xx} to, before rounding down to the printed line?

From Measures of location and dispersion — mean, coding, and standard deviation

Question 91
2 marks

A data set XX is coded as Y=0.5(X−100)Y = 0.5(X - 100). Given Var(Y)=9\text{Var}(Y) = 9, what is Var(X)\text{Var}(X)?

From Elementary probability, and conditional-probability notation

Question 92
2 marks

In a college group, P(studies French)=0.55P(\text{studies French}) = 0.55, P(studies Spanish)=0.4P(\text{studies Spanish}) = 0.4, P(studies both)=0.2P(\text{studies both}) = 0.2. Find P(studies French or Spanish, or both)P(\text{studies French or Spanish, or both}).

From Sampling with/without replacement, tree diagrams, and Venn diagrams

Question 93
3 marks

On a Venn diagram, P(C)=0.6P(C) = 0.6, P(D)=0.5P(D) = 0.5 and P(C∩D)=0.2P(C \cap D) = 0.2. What is P(C∣D)P(C \mid D)?

From Regression — gradient interpretation and extrapolation/reliability

Question 94
2 marks

A scientist fits the regression line t^=5.2+0.8h\hat t = 5.2 + 0.8h, where hh is hours of sunshine in a day and tt is the maximum temperature reached that day, in °C. Which is the best interpretation of the gradient?

From E(aX+b) and Var(aX+b) for discrete random variables

Question 95
2 marks

A discrete random variable XX has E(X)=12E(X) = 12 and Var(X)=5\text{Var}(X) = 5. Given that Y=3X−4Y = 3X - 4, find E(Y)E(Y) and Var(Y)\text{Var}(Y).