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Statistics and Probability — Free Maths AI SL Practice Questions

1FoundationSAQ-SRegression analysis5 marksPaper 1~8 min
A researcher studies the relationship between the number of hours a plant is exposed to sunlight each day, xx, and the height of the plant after 30 days, yy cm. Data collected for six plants is shown below. x (hours): 1, 2, 3, 4, 5, 6 y (cm): 12, 18, 25, 30, 36, 40
(a)
State the type of regression model that would be most appropriate for this data. [1 mark]
(b)
Calculate the equation of the regression line of yy on xx, giving the values of aa and bb in y=ax+by = ax + b correct to three significant figures. [2 marks]
(c)
A plant receives x=8x = 8 hours of sunlight per day. A student uses the regression equation to predict its height after 30 days and states: *"The model predicts a height of 52.552.5 cm, so this is a reliable estimate."* Evaluate the reliability of this prediction. [2 marks]
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2MasterySAQ-SRegression analysis5 marksPaper 1~8 min
A biologist studies the relationship between temperature (TT, in °C) and chirping rate (CC, in chirps per minute) of a species of cricket. She collects data for n=8n = 8 temperatures and obtains the following summary statistics: T=160,C=140,T2=3600,C2=2800,TC=3100\sum T = 160, \quad \sum C = 140, \quad \sum T^2 = 3600, \quad \sum C^2 = 2800, \quad \sum TC = 3100
(a)
Show that the Pearson correlation coefficient r0.8r \approx 0.8, correct to 1 decimal place. [3 marks]
(b)
Calculate the coefficient of determination r2r^2[1 mark]
(c)
Hence explain what the value of r2r^2 indicates about the relationship between temperature and chirping rate. [1 mark]
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3ChallengeSAQ-LRegression analysis8 marksPaper 1~12 min
A marine biologist studies the relationship between water temperature (TT, in °C) and diving depth (DD, in metres) for a species of seal. Data from n=12n = 12 seals give the following summary statistics: T=96.0,D=240,T2=824.0,D2=5400,TD=2100\sum T = 96.0, \quad \sum D = 240, \quad \sum T^2 = 824.0, \quad \sum D^2 = 5400, \quad \sum TD = 2100
(a)
Calculate the Pearson correlation coefficient rr, correct to three significant figures. [2 marks]
(b)
Determine the equation of the regression line of DD on TT in the form D=a+bTD = a + bT, with aa and bb correct to three significant figures. [2 marks]
(c)
Use your regression line to estimate the diving depth when T=9.5°CT = 9.5\,°\text{C}, giving your answer correct to the nearest metre. [1 mark]
(d)
The biologist claims: "Temperature is a good predictor of diving depth because the correlation is strong." Evaluate this claim. In your response, refer to your value of rr, the reliability of the regression model within the data range, and one limitation of using this model. The following formulae are provided: r=nTD(T) ⁣(D)nT2(T)2  nD2(D)2r = \frac{n\sum TD - \left(\sum T\right)\!\left(\sum D\right)}{\sqrt{n\sum T^2 - \left(\sum T\right)^2}\;\sqrt{n\sum D^2 - \left(\sum D\right)^2}} b=nTD(T) ⁣(D)nT2(T)2,a=DˉbTˉb = \frac{n\sum TD - \left(\sum T\right)\!\left(\sum D\right)}{n\sum T^2 - \left(\sum T\right)^2}, \qquad a = \bar{D} - b\bar{T} [3 marks]
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4FoundationSAQ-SRegression analysis5 marksPaper 1~8 min
A student investigates the relationship between the age of a car, xx years, and its selling price, yy thousand dollars. Data for five cars are shown in the table below. Age xx (years) — 1 — 2 — 3 — 4 — 5 Price yy (thousand dollars) — 18 — 15 — 12 — 9 — 6 The regression line of yy on xx is y=21.03.00xy = 21.0 - 3.00x.
(a)
State the type of correlation between the age and selling price of a car. [1 mark]
(b)
A car is 4.5 years old. Calculate its predicted selling price in dollars. [2 marks]
(c)
The actual selling price of the 4.5-year-old car is USD 6000. (i) Calculate the residual for this car in dollars. [1]
(ii) State what the sign of the residual indicates about the regression line's prediction for this car. [1 mark]
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5MasterySAQ-SRegression analysis5 marksPaper 1~8 min
A biologist is studying the relationship between the temperature (xx, in C^\circ\text{C}) and the rate of oxygen consumption (yy, in mL/g/h) of a species of beetle. Data for six beetles are recorded in the table below. xx — 10 — 15 — 20 — 25 — 30 — 35 yy — 1.2 — 1.9 — 2.5 — 3.0 — 3.8 — 4.3 The following formulae are provided: r=nxy(x)(y)nx2(x)2  ny2(y)2r = \frac{n\sum xy - (\sum x)(\sum y)}{\sqrt{n\sum x^2 - (\sum x)^2}\;\sqrt{n\sum y^2 - (\sum y)^2}} b=nxy(x)(y)nx2(x)2,a=yˉbxˉb = \frac{n\sum xy - (\sum x)(\sum y)}{n\sum x^2 - (\sum x)^2}, \qquad a = \bar{y} - b\bar{x}
(a)
Show that the Pearson correlation coefficient rr for this data is 0.9980.998, correct to three significant figures. [3 marks]
(b)
Hence find the equation of the regression line of yy on xx in the form y=a+bxy = a + bx, giving the values of aa and bb correct to three significant figures. [2 marks]
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6FoundationSAQ-SMeasures of central tendency (mean, median, mode)5 marksPaper 1~8 min
A small company records the number of days each of its 8 employees was absent from work last month. The data set is: 2, 5, 3, 8, 2, 4, 5, 32,\ 5,\ 3,\ 8,\ 2,\ 4,\ 5,\ 3
(a)
Calculate the mean number of days absent. [2 marks]
(b)
Find the median number of days absent. [2 marks]
(c)
The manager states: "The mean is the most appropriate measure of central tendency to represent this data." Justify whether you agree or disagree with this statement. [1 mark]
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7MasterySAQ-SMeasures of central tendency (mean, median, mode)5 marksPaper 1~8 min
The ages (in years) of eight people in a cycling club are: 22, 25, 27, 30, 33, 35, 38, y22,\ 25,\ 27,\ 30,\ 33,\ 35,\ 38,\ y
(a)
Show that if the mean age is 3030 years, then y=30y = 30[2 marks]
(b)
Hence find the median age of the group. [1 mark]
(c)
Two new members join the club: one aged 3030 and one aged 4040. Determine the mode of the ten ages and explain whether the mean age of the group increases, decreases, or stays the same. [2 marks]
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8ChallengeSAQ-LMeasures of central tendency (mean, median, mode)8 marksPaper 1~12 min
The following table shows the number of hours spent on social media per week by a group of 2020 students. Hours — 040-4595-9101410-14151915-19202420-24 Frequency — 3377663311
(a)
Calculate an estimate for the mean number of hours spent on social media per week, using the midpoint of each interval. [3 marks]
(b)
Using a cumulative frequency table, determine the median class. State the modal class. [2 marks]
(c)
A new student joins the group and spends between 2525 and 2929 hours per week on social media. Calculate the new estimated mean and determine whether the modal class and median class change. Hence evaluate which measure of central tendency — the mean or the modal/median class — is more affected by this addition, justifying your answer. [3 marks]
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9FoundationSAQ-SMeasures of central tendency (mean, median, mode)7 marksPaper 1~11 min
A gardener measures the heights (in cm) of 7 sunflower plants: 12, 15, 11, 18, 15, 14, 2012,\ 15,\ 11,\ 18,\ 15,\ 14,\ 20
(a)
Find the mean height. [2 marks]
(b)
Find the median height. [2 marks]
(c)
A plant food company claims that sunflower plants grown with their product have a mean height of 18cm18\,\text{cm}. The gardener adds an eighth plant of height hcmh\,\text{cm}, grown using the company's product, to the dataset. Determine the value of hh such that the mean height of all eight plants equals 16cm16\,\text{cm}, and state whether this supports the company's claim. [3 marks]
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10MasterySAQ-SMeasures of central tendency (mean, median, mode)7 marksPaper 1~11 min
The test scores (out of 100) for a class of 10 students are listed in ascending order: 45, 52, 58, 61, 63, 67, 71, 74, 78, z45,\ 52,\ 58,\ 61,\ 63,\ 67,\ 71,\ 74,\ 78,\ z
(a)
Show that if the mean score is 6464, then z=71z = 71[2 marks]
(b)
Find the interquartile range (IQR) of the scores. [2 marks]
(c)
The teacher discovers that the score of 5252 was incorrectly recorded and should be 6262. The corrected mean is 6565. Using the corrected data set, calculate the corrected median and hence determine whether the distribution is symmetric, positively skewed, or negatively skewed. Justify your answer. [3 marks]
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11FoundationSAQ-SBasic probability concepts and rules5 marksPaper 1~8 min
A bag contains 1212 red marbles and 88 blue marbles. Two marbles are selected at random from the bag without replacement.
(a)
State the probability that the first marble selected is red. [1 mark]
(b)
Calculate the probability that both marbles selected are red. [2 marks]
(c)
A game is played where a player wins USD 5 for each red marble drawn and loses USD 3 for each blue marble drawn. Determine the expected monetary outcome for a player who draws two marbles without replacement. [2 marks]
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12MasterySAQ-SBasic probability concepts and rules5 marksPaper 1~8 min
In a school, 60%60\% of students play football and 45%45\% play basketball. It is known that 25%25\% of students play both sports.
(a)
Show that the probability that a randomly chosen student plays football but not basketball is 0.350.35[2 marks]
(b)
Hence find the probability that a randomly chosen student plays neither sport. [3 marks]
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13ChallengeSAQ-LBasic probability concepts and rules8 marksPaper 1~12 min
In a medical screening test for a certain disease, the following probabilities are known: - The probability that a randomly selected person has the disease is 0.020.02 - If a person has the disease, the probability that the test is positive is 0.950.95 - If a person does not have the disease, the probability that the test is positive is 0.040.04
(a)
Calculate the probability that a randomly selected person tests positive. [3 marks]
(b)
Given that a person tests positive, calculate the probability that they actually have the disease. [3 marks]
(c)
Evaluate whether this test is a reliable standalone screening tool. Justify your answer using the result from part (b) and the overall disease prevalence. [2 marks]
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14FoundationSAQ-SBasic probability concepts and rules5 marksPaper 1~8 min
A fair six-sided die is rolled twice. The faces are numbered 1,2,3,4,5,61, 2, 3, 4, 5, 6.
(a)
State the probability of rolling a multiple of 33 on a single roll. [1 mark]
(b)
Find the probability that neither roll shows a multiple of 33[2 marks]
(c)
Given that the sum of the two rolls is 77, find the probability that neither roll showed a multiple of 33[2 marks]
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15MasterySAQ-SBasic probability concepts and rules5 marksPaper 1~8 min
A test for a rare disease has the following probabilities: if a person has the disease, the test is positive with probability 0.980.98; if a person does not have the disease, the test is positive with probability 0.030.03. It is known that 1%1\% of the population has the disease.
(a)
Show that the probability that a randomly selected person tests positive is 0.03950.0395[3 marks]
(b)
Hence find the probability that a person who tests positive actually has the disease. Give your answer correct to 3 significant figures. [2 marks]
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16FoundationSAQ-SBinomial distribution and its properties5 marksPaper 1~8 min
A factory produces electronic components. It is known that 8%8\% of the components are defective. A quality control inspector selects a random sample of 1212 components. The number of defective components, XX, follows a binomial distribution.
(a)
State one condition, other than a fixed number of trials, that must be satisfied for XX to follow a binomial distribution. [1 mark]
(b)
Find P(X=2)P(X = 2)[2 marks]
(c)
Given that least one component in the sample is defective, find the probability that exactly two are defective. [2 marks]
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17MasterySAQ-SBinomial distribution and its properties5 marksPaper 1~8 min
A factory produces electronic components. It is known that 5%5\% of components are defective. A quality control inspector selects a random sample of 1212 components. Let XX represent the number of defective components in the sample.
(a)
State two conditions required for XX to be modelled by a binomial distribution, and identify the parameters nn and pp[2 marks]
(b)
Find the probability that exactly 22 components in the sample are defective. Give your answer correct to 3 significant figures. [3 marks]
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18ChallengeSAQ-LBinomial distribution and its properties8 marksPaper 1~12 min
A quality control engineer at a pharmaceutical company monitors the production of vaccine vials. Historical data shows that 3%3\% of vials have a contamination defect. The company uses a two-stage screening process. - First stage: an automated optical inspection detects 90%90\% of contaminated vials but incorrectly flags 2%2\% of clean vials as contaminated. Flagged vials are rejected; unflagged vials pass to the second stage. - Second stage: a chemical test, performed only on vials that passed the first stage, correctly identifies 98%98\% of contaminated vials and correctly clears 99%99\% of clean vials. Vials identified as contaminated in this stage are rejected; all others are released.
(a)
Determine the probability that a randomly selected vial passes the first stage. [2 marks]
(b)
Given that a vial passes the first stage, determine the probability that is contaminated. [3 marks]
(c)
A vial has passed the first stage. Determine the probability that is contaminated and is correctly identified as contaminated by the chemical test in the second stage. > [3 marks]
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19FoundationSAQ-SBinomial distribution and its properties7 marksPaper 1~11 min
A fair six-sided die is rolled 88 times. Let XX be the number of times a score of 44 or greater is obtained.
(a)
State the distribution of XX, including the values of any parameters. [2 marks]
(b)
Find P(X=3)P(X = 3)[2 marks]
(c)
Given that X4X \leq 4, find the probability that X=3X = 3[3 marks]
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20MasterySAQ-SBinomial distribution and its properties5 marksPaper 1~8 min
A fair six-sided die is rolled 1010 times. Let the random variable XX denote the number of times a score of 44 or greater is obtained.
(a)
State two conditions required for XX to be modelled by a binomial distribution, and verify that each condition is satisfied in this context. [2 marks]
(b)
Write down the values of nn and pp for this distribution. [1 mark]
(c)
Find P(X=5)P(X = 5). Give your answer correct to 3 significant figures. [2 marks]
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21MasterySAQ-SRegression analysis6 marksPaper 2~9 min
The owner of a small bakery records the number of hours of sunshine, hh, and the daily sales of iced coffee, ss (in cups), over 8 randomly selected summer days. hh (hours) — 4.24.25.15.16.86.87.37.38.08.09.59.510.210.211.411.4 ss (cups) — 18182222313135353838474751515858
(a)
Calculate the Pearson product-moment correlation coefficient, rr, for this data. [1 mark]
(b)
Determine the equation of the regression line of ss on hh, giving your answer in the form s=a+bhs = a + bh, where aa and bb are correct to 3 significant figures. [2 marks]
(c)
Calculate an estimate for the number of cups of iced coffee sold when there are 9.09.0 hours of sunshine. [1 mark]
(d)
Evaluate the reliability of your estimate in part (c), justifying your answer with reference to both the value of rr and the data range. [2 marks]
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22MasterySAQ-SRegression analysis7 marksPaper 2~11 min
A coffee shop records the outside temperature (T°CT\,°\text{C}) and the number of hot chocolates sold (NN) each day for 10 days. The data are shown in the scatter below. The regression line of NN on TT is N=38.20.95TN = 38.2 - 0.95T.
(a)
Calculate the number of hot chocolates predicted to be sold when the outside temperature is 15°C15\,°\text{C}[2 marks]
(b)
The actual number of hot chocolates sold on a day when the temperature was 15°C15\,°\text{C} was 28. Determine the residual for this data point. [2 marks]
(c)
The coefficient of determination is r2=0.784r^2 = 0.784. Calculate the value of the correlation coefficient rr[1 mark]
(d)
Interpret the value of rr found in part (c) in the context of this problem. [2 marks]
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23MasterySAQ-SRegression analysis9 marksPaper 2~14 min
A researcher studies the relationship between hours of study (hh hours) and exam score (ss marks) for 10 students. The data are shown in the table below. hh — 2 — 4 — 6 — 8 — 10 — 12 — 14 — 16 — 18 — 20 ss — 35 — 42 — 55 — 60 — 68 — 75 — 78 — 85 — 90 — 92
(a)
Calculate the mean hours studied hˉ\bar{h} and the mean exam score sˉ\bar{s}[2 marks]
(b)
Use your GDC to find the equation of the regression line of ss on hh. Write your answer in the form s=a+bhs = a + bh, where aa and bb are given to three significant figures. [2 marks]
(c)
A student studied for 10 hours and scored 68 marks. (i) Calculate the residual for this student. [2]
(ii) State whether the regression line overestimates or underestimates this student's score, justifying your answer. [1 mark]
(d)
The Pearson correlation coefficient for these data is r=0.997r = 0.997. Evaluate the validity of using the regression line to predict the score of a student who studies for 25 hours. [2 marks]
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24MasterySAQ-SRegression analysis6 marksPaper 2~9 min
A biologist is studying the relationship between the temperature (TT, in C^\circ\text{C}) and the rate of chirping (CC, in chirps per minute) of a species of cricket. She collects the following data from eight crickets: TT (C^\circ\text{C}) — 15 — 18 — 20 — 22 — 25 — 27 — 30 — 32 CC (chirps/min) — 20 — 24 — 28 — 31 — 36 — 39 — 44 — 48
(a)
Calculate the Pearson correlation coefficient rr for this data. [2 marks]
(b)
Determine the equation of the regression line of CC on TT, in the form C=aT+bC = aT + b, giving the values of aa and bb correct to three significant figures. [2 marks]
(c)
The biologist uses her regression line to estimate the chirp rate at T=28CT = 28\,^\circ\text{C} and at T=45CT = 45\,^\circ\text{C}. Evaluate the reliability of each estimate. [2 marks]
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25MasterySAQ-SRegression analysis6 marksPaper 2~9 min
A farmer measures the amount of fertiliser (FF, in kg per hectare) applied to six plots of land the corresponding yield of wheat (YY, in tonnes per hectare). The data are shown below. FF (kg/ha) — 50 — 80 — 100 — 120 — 150 — 180 YY (t/ha) — 3.2 — 4.5 — 5.1 — 5.8 — 6.4 — 7.0
(a)
Calculate Fˉ\bar{F} and Yˉ\bar{Y}[2 marks]
(b)
Determine the equation of the regression line of YY on FF, giving both coefficients correct to four significant figures. [2 marks]
(c)
The farmer considers using the regression model to predict the yield when F=200kg/haF = 200\,\text{kg/ha} and when F=500kg/haF = 500\,\text{kg/ha}. Calculate the predicted yield for F=200kg/haF = 200\,\text{kg/ha}, then evaluate the reliability of using this model for each prediction. [2 marks]
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26MasterySAQ-SMeasures of central tendency (mean, median, mode)8 marksPaper 2~12 min
The weekly screen time (in hours) for a random sample of 12 students from a large international school is recorded below: 18,  22,  15,  30,  25,  20,  22,  28,  16,  22,  35,  1918,\; 22,\; 15,\; 30,\; 25,\; 20,\; 22,\; 28,\; 16,\; 22,\; 35,\; 19 -
(a)
State the mode. - [1 mark]
(b)
Calculate the mean and the median. - [3 marks]
(c)
A new student joins the school and their weekly screen time is xx hours. When this value is added to the sample, the new mean becomes 22.422.4 hours. Calculate the value of xx. - [2 marks]
(d)
The school counsellor claims the mean is the most appropriate measure of central tendency to represent the original sample of 12 students. Evaluate this claim. [2 marks]
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27MasterySAQ-SMeasures of central tendency (mean, median, mode)6 marksPaper 2~9 min
The box-and-whisker below shows the distribution of test scores (out of 100) for a group of 40 students in a mathematics class.
(a)
State the median test score. [1 mark]
(b)
Calculate the mean test score, given that the sum of all test scores is 26802680[2 marks]
(c)
The teacher adds 5 bonus points to every student's test score. (i) Determine the new median and the new mean. [2 marks]
(ii) Explain why the interquartile range of the test scores does not change. [1 mark]
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28MasterySAQ-SMeasures of central tendency (mean, median, mode)6 marksPaper 2~9 min
The monthly salaries, in dollars, of 11 employees at a small company are: 2800, 3200, 3500, 3700, 4000, 4100, 4200, 4500, 4800, 5200, 95002800,\ 3200,\ 3500,\ 3700,\ 4000,\ 4100,\ 4200,\ 4500,\ 4800,\ 5200,\ 9500
(a)
Calculate the mean monthly salary of these 11 employees. [2 marks]
(b)
State the median monthly salary. [1 mark]
(c)
The company director claims that the mean salary is a better measure of central tendency for this data set than the median. By referring to specific values from the data, evaluate this claim. [3 marks]
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29MasterySAQ-SMeasures of central tendency (mean, median, mode)6 marksPaper 2~9 min
The ages of 9 people in a yoga class are recorded as: 22, 25, 27, 29, 30, 31, 34, 37, 4122,\ 25,\ 27,\ 29,\ 30,\ 31,\ 34,\ 37,\ 41
(a)
Calculate the mean age of the group. [2 marks]
(b)
State the median age. [1 mark]
(c)
A new person aged 6565 joins the class. Calculate the new mean and the new median, and hence determine which measure of central tendency increased by the greater amount. [3 marks]
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30MasterySAQ-SMeasures of central tendency (mean, median, mode)7 marksPaper 2~11 min
A small business records the number of orders received each day over a 10-day period: 12, 15, 8, 12, 20, 12, 18, 15, 10, 1412,\ 15,\ 8,\ 12,\ 20,\ 12,\ 18,\ 15,\ 10,\ 14
(a)
Calculate the mean number of orders per day. [2 marks]
(b)
Determine the median number of orders per day. [2 marks]
(c)
State the mode of the data. [1 mark]
(d)
The business owner claims the "typical" number of daily orders is 1212. (i) State which measure of central tendency the owner is using. [1 mark]
(ii) Justify your answer. [1 mark]
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31MasterySAQ-SBasic probability concepts and rules6 marksPaper 2~9 min
A survey of 200 students at an international school asked about their participation in two extracurricular activities: Model United Nations (M)(M) and Debating (D)(D). The results showed that 85 students participate in Model United Nations, 60 students participate in Debating, and 35 students participate in both activities.
(a)
Calculate the probability that a randomly selected student participates in Debating but not Model United Nations. [2 marks]
(b)
Calculate the probability that a randomly selected student participates in neither activity. [2 marks]
(c)
Two students are selected at random without replacement. Given that the first student selected participates in Model United Nations, find the probability that exactly one of the two students participates in Model United Nations. [2 marks]
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32MasterySAQ-SBasic probability concepts and rules6 marksPaper 2~9 min
A bag contains 44 red marbles, 66 blue marbles, and 1010 green marbles. Two marbles are drawn from the bag without replacement.
(a)
Calculate the probability that both marbles drawn are blue. [2 marks]
(b)
Calculate the probability that the two marbles drawn are of different colours. [2 marks]
(c)
Given that the two marbles drawn are of different colours, calculate the probability that least one of them is red. Hence determine whether the event "at least one marble is red" and the event "the two marbles are of different colours" are independent. [2 marks]
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33MasterySAQ-SBasic probability concepts and rules6 marksPaper 2~9 min
A bag contains 5 red marbles and 3 blue marbles. Two marbles are drawn from the bag without replacement.
(a)
Calculate the probability that both marbles drawn are red. [2 marks]
(b)
Calculate the probability that the two marbles drawn are of different colours. [2 marks]
(c)
Given that the two marbles drawn are of different colours, find the probability that the first marble drawn was red. [2 marks]
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34MasterySAQ-SBasic probability concepts and rules8 marksPaper 2~12 min
In a factory, 3%3\% of the electronic components produced are defective. A quality control test correctly identifies a defective component as defective 96%96\% of the time. The test also incorrectly identifies a non-defective component as defective 2%2\% of the time.
(a)
Calculate the probability that a randomly selected component is defective and is identified as defective by the test. [2 marks]
(b)
Calculate the probability that a randomly selected component is identified as defective by the test. [2 marks]
(c)
Given that a component is identified as defective by the test, calculate the probability that is actually defective. Comment on whether the test is reliable for identifying defective components. [4 marks]
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35MasterySAQ-SBasic probability concepts and rules6 marksPaper 2~9 min
A fair six-sided die is rolled twice. Let AA be the event that the sum of the two rolls is 77, and let BB be the event that least one roll shows a 55.
(a)
Calculate P(A)P(A)[2 marks]
(b)
Show that P(B)=1136P(B) = \dfrac{11}{36} and find P(AB)P(A \cap B)[2 marks]
(c)
Calculate P(AB)P(A \cup B)[2 marks]
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36MasterySAQ-SBinomial distribution and its properties6 marksPaper 2~9 min
A factory produces electronic components. The probability that a randomly selected component is defective is 0.040.04. A quality control inspector selects a random sample of 1515 components. Let XX be the number of defective components in the sample.
(a)
State one condition required for XX to be modelled by a binomial distribution, and explain why this condition is reasonable in this context. [2 marks]
(b)
Given that XB(15,0.04)X \sim B(15,\, 0.04), calculate P(X=2)P(X = 2)[2 marks]
(c)
Given that least one component in the sample is defective, find the probability that least three components are defective. [2 marks]
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37MasterySAQ-SBinomial distribution and its properties6 marksPaper 2~9 min
A medical test for a rare disease has a 92%92\% chance of correctly identifying a person with the disease (true positive) and a 95%95\% chance of correctly identifying a person without the disease (true negative). The disease affects 2%2\% of the population.
(a)
A random sample of 2020 people is tested. State two conditions required for the number of people in the sample who have the disease to be modelled by a binomial distribution. [2 marks]
(b)
Using XB(20,0.02)X \sim B(20,\, 0.02), calculate P(X=3)P(X = 3)[2 marks]
(c)
A person is chosen at random from the population and tested. Given that the test returns a positive result, determine the probability that the person actually has the disease. [2 marks]
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38MasterySAQ-SBinomial distribution and its properties6 marksPaper 2~9 min
A factory produces electronic components. It is known that 92%92\% of the components pass a quality control test. A random sample of 1515 components is selected and tested. Let XX be the number of components that pass the test.
(a)
State one condition, in context, required for XX to be modelled by a binomial distribution. [1 mark]
(b)
Given that the binomial model is appropriate, calculate P(X=12)P(X = 12)[2 marks]
(c)
A batch is rejected if fewer than 1010 components pass the test. Given that a batch has already had exactly 1313 components pass, find the probability that a second, independent batch of 1515 components is rejected. [3 marks]
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Solutions

39MasterySAQ-SBinomial distribution and its properties6 marksPaper 2~9 min
A biologist is studying a species of plant. It is known that 75%75\% of seeds from this species germinate successfully. The biologist plants 2020 seeds and monitors their growth. Let XX be the number of seeds that germinate.
(a)
State the probability distribution of XX, including the values of its parameters. [1 mark]
(b)
Calculate the probability that exactly 1616 seeds germinate. [2 marks]
(c)
The biologist considers germination to be "highly successful" if at least 1818 seeds germinate. Determine the probability that germination is highly successful, and comment on whether this outcome is likely. [3 marks]
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Solutions

40MasterySAQ-SBinomial distribution and its properties6 marksPaper 2~9 min
A medical research team is testing a new treatment for a disease. In a clinical trial, the probability that a patient shows improvement after receiving the treatment is 0.650.65. The trial involves 2020 randomly selected patients. Let XX be the number of patients who show improvement, where XB(20,0.65)X \sim B(20,\, 0.65).
(a)
Calculate the expected number of patients who show improvement. [2 marks]
(b)
Calculate P(X=12)P(X = 12)[2 marks]
(c)
Given that more than 1010 patients show improvement, calculate the probability that exactly 1212 patients show improvement. [2 marks]
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Solutions