The problem provides a frequency distribution table of marks obtained by students. Part (a) requires constructing a cumulative frequency table, drawing an ogive, and using the ogive to determine the 40th percentile. Part (b) asks for the probability of choosing a student who did not get distinction, given that 20% of the students had distinction. Problem 11 involves calculating probabilities related to drawing balls from a box containing black, red, and white balls without replacement. We are going to solve problem 11.

Probability and StatisticsProbabilityConditional ProbabilityWithout ReplacementCombinations
2025/6/5

1. Problem Description

The problem provides a frequency distribution table of marks obtained by students. Part (a) requires constructing a cumulative frequency table, drawing an ogive, and using the ogive to determine the 40th percentile. Part (b) asks for the probability of choosing a student who did not get distinction, given that 20% of the students had distinction. Problem 11 involves calculating probabilities related to drawing balls from a box containing black, red, and white balls without replacement. We are going to solve problem
1
1.

2. Solution Steps

Problem
1
1.
(a) Probability the first ball is red.
There are 25 balls in total, and 7 are red. Therefore, the probability of drawing a red ball on the first draw is:
P(first ball is red)=Number of red ballsTotal number of balls=725P(\text{first ball is red}) = \frac{\text{Number of red balls}}{\text{Total number of balls}} = \frac{7}{25}
(b) Probability that both balls are white or black.
First, we need to determine the number of white balls.
Total balls = 25
Black balls = 10
Red balls = 7
White balls = 25 - 10 - 7 = 8
We need to find the probability that both balls are either white or black. This can happen in two mutually exclusive ways: both balls are white, or both balls are black, or one is white and one is black.
Case 1: Both balls are white.
P(both white)=825×724=56600P(\text{both white}) = \frac{8}{25} \times \frac{7}{24} = \frac{56}{600}
Case 2: Both balls are black.
P(both black)=1025×924=90600P(\text{both black}) = \frac{10}{25} \times \frac{9}{24} = \frac{90}{600}
Case 3: One ball is white and one is black
P(first ball is white, second is black)=825×1024=80600P(\text{first ball is white, second is black}) = \frac{8}{25} \times \frac{10}{24} = \frac{80}{600}
P(first ball is black, second is white)=1025×824=80600P(\text{first ball is black, second is white}) = \frac{10}{25} \times \frac{8}{24} = \frac{80}{600}
P(one ball is white and one is black)=80600+80600=160600P(\text{one ball is white and one is black}) = \frac{80}{600} + \frac{80}{600} = \frac{160}{600}
The question asks for the probability that both balls are white or black.
P(both balls are white or black)=P(both white)+P(both black)P(\text{both balls are white or black}) = P(\text{both white}) + P(\text{both black})
=56600+90600=146600=73300= \frac{56}{600} + \frac{90}{600} = \frac{146}{600} = \frac{73}{300}
(c) Probability that none of the balls is white.
This means both balls are either red or black.
Total number of non-white balls = 10 (black) + 7 (red) = 17
P(none is white)=P(both are red or black)=1725×1624=272600=68150=3475P(\text{none is white}) = P(\text{both are red or black}) = \frac{17}{25} \times \frac{16}{24} = \frac{272}{600} = \frac{68}{150} = \frac{34}{75}

3. Final Answer

1

1. (a) $\frac{7}{25}$

(b) 73300\frac{73}{300}
(c) 3475\frac{34}{75}

Related problems in "Probability and Statistics"

The problem is divided into two questions, question 10 and question 11. Question 10 is about the fre...

Frequency DistributionCumulative FrequencyOgivePercentileProbabilityConditional ProbabilityCombinations
2025/6/5

A number is selected at random from the integers 30 to 48 inclusive. We want to find the probability...

ProbabilityPrime NumbersDivisibility
2025/6/3

The problem describes a survey where 30 people answered about their favorite book genres. The result...

PercentagesData InterpretationPie ChartFractions
2025/6/1

The problem asks us to determine if there is a statistically significant difference in promotion rat...

Hypothesis TestingChi-Square TestContingency TableStatistical SignificanceIndependence
2025/6/1

We are given a contingency table showing the number of students from different majors (Psychology, B...

Chi-Square TestContingency TableStatistical InferenceHypothesis Testing
2025/6/1

The problem describes a scenario where a pizza company wants to determine if the number of different...

Chi-Square TestGoodness-of-Fit TestHypothesis TestingFrequency DistributionP-value
2025/6/1

The problem asks to test the significance of three chi-square tests given the sample size $N$, numbe...

Chi-square testStatistical SignificanceDegrees of FreedomEffect SizeCramer's VHypothesis Testing
2025/5/29

The problem asks us to compute the expected frequencies for the given contingency table. The conting...

Contingency TableExpected FrequenciesChi-squared Test
2025/5/29

The problem asks us to estimate the chi-square value when $n=23$ and $p=99$, given a table of chi-sq...

Chi-square distributionStatistical estimationInterpolation
2025/5/27

The problem consists of several parts related to statistics and probability. We need to: A. Define s...

Sample Standard DeviationProbabilitySample SpaceConditional ProbabilityMutually Exclusive EventsIndependent EventsProbability of Events
2025/5/27