The problem provides a table of marks scored by 40 students in an objective test. The table shows the marks scored (3, 8, 13, 18, 23, 28, 33, 38) and the number of students who scored each mark (2, 5, 9, 6, 3, 4, 5, 1). We need to find the probability that a student selected at random scored: a) Marks greater than 28 b) Marks less than 28 c) 33 marks d) Marks between 3 and 33 (inclusive).

Probability and StatisticsProbabilityData AnalysisFrequency Distribution
2025/5/13

1. Problem Description

The problem provides a table of marks scored by 40 students in an objective test. The table shows the marks scored (3, 8, 13, 18, 23, 28, 33, 38) and the number of students who scored each mark (2, 5, 9, 6, 3, 4, 5, 1). We need to find the probability that a student selected at random scored:
a) Marks greater than 28
b) Marks less than 28
c) 33 marks
d) Marks between 3 and 33 (inclusive).

2. Solution Steps

a) Marks greater than 28:
The marks greater than 28 are 33 and
3

8. The number of students who scored 33 is

5. The number of students who scored 38 is

1. Total number of students who scored greater than 28 is $5 + 1 = 6$.

Total number of students is
4

0. Probability (marks > 28) = (Number of students who scored > 28) / (Total number of students)

P(marks>28)=640=320P(\text{marks} > 28) = \frac{6}{40} = \frac{3}{20}
b) Marks less than 28:
The marks less than 28 are 3, 8, 13, 18,
2

3. The number of students who scored 3 is

2. The number of students who scored 8 is

5. The number of students who scored 13 is

9. The number of students who scored 18 is

6. The number of students who scored 23 is

3. Total number of students who scored less than 28 is $2 + 5 + 9 + 6 + 3 = 25$.

Total number of students is
4

0. Probability (marks < 28) = (Number of students who scored < 28) / (Total number of students)

P(marks<28)=2540=58P(\text{marks} < 28) = \frac{25}{40} = \frac{5}{8}
c) 33 marks:
The number of students who scored 33 is

5. Total number of students is

4

0. Probability (marks = 33) = (Number of students who scored 33) / (Total number of students)

P(marks=33)=540=18P(\text{marks} = 33) = \frac{5}{40} = \frac{1}{8}
d) Marks between 3 and 33 (inclusive):
The marks between 3 and 33 (inclusive) are 3, 8, 13, 18, 23, 28,
3

3. The number of students who scored 3 is

2. The number of students who scored 8 is

5. The number of students who scored 13 is

9. The number of students who scored 18 is

6. The number of students who scored 23 is

3. The number of students who scored 28 is

4. The number of students who scored 33 is

5. Total number of students who scored between 3 and 33 is $2 + 5 + 9 + 6 + 3 + 4 + 5 = 34$.

Total number of students is
4

0. Probability (3 <= marks <= 33) = (Number of students who scored between 3 and 33) / (Total number of students)

P(3marks33)=3440=1720P(3 \le \text{marks} \le 33) = \frac{34}{40} = \frac{17}{20}

3. Final Answer

a) The probability that a student scored marks greater than 28 is 320\frac{3}{20}.
b) The probability that a student scored marks less than 28 is 58\frac{5}{8}.
c) The probability that a student scored 33 marks is 18\frac{1}{8}.
d) The probability that a student scored marks between 3 and 33 is 1720\frac{17}{20}.

Related problems in "Probability and Statistics"

The problem provides a frequency distribution table of marks obtained by students. Part (a) requires...

ProbabilityConditional ProbabilityWithout ReplacementCombinations
2025/6/5

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