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YEAR 10 REVISION BLASTER

YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

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Page 1: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

YEAR 10

REVISION BLASTER

Page 2: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

GCSE MATHS REVISION

• UNIT 1 – all about DATA

• Probability

• Averages

• Cumulative frequency

• Histograms

• Percentages

Page 3: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Probability

Page 4: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

KEY POINTS

•The probability scale goes from 0 to 1.

•Probability of a certain event = 1

•Probability of an impossible event= 0

•P(event)= No. of ways that event can happen

Total no. of ALL possible outcomes

Page 5: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

22 Sweets in a bag, 7 are red, 6 are blue, 9 are green.

What is the probability of randomly picking a blue sweet?

•P(event)= No. of ways that event can happen

Total no. of ALL possible outcomes

P (BLUE) =

622

=

11

3

Page 6: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Calculate the Probability of NOT picking a blue sweet.

P(event Not happening)=1 – P(event happening)

P (NOT BLUE) = 1 – P(picking blue)

P (NOT BLUE) = 1 –

P (NOT BLUE) =

11

3

11

8

Page 7: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Calculating the Probability of combined events.STARTER:

P(garlic bread)=0.2; P(dough balls)= 0.8

MAIN:

P(pasta)=0.2; P(Salad)=0.2 P(Pizza) = 0.6

•Calculate the probability of having; garlic bread followed by pizza.

•Calculate the probability of having ANY starter followed by salad.

Page 8: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

0.2

P(garlic bread)=0.2; P(dough balls)= 0.8P(pasta)=0.2; P(Salad)=0.2 P(Pizza) = 0.6

STARTER

Garlic Bread

Dough

Balls

0.2

0.8

Pizza

Pasta

Salad

0.2

0.2

0.6

Pasta

Salad

0.2

0.2

0.6Pizza

MAINCalculate the probability of having; garlic bread followed by pizza.

0.20.6

0.2 x 0.6 = 0.12

AND RULE (Going ALONG the branches)

We MULTIPLY the Probabilities.

Answer= 0.12

•Calculate the probability of having ANY starter followed by salad.

0.2

0.2 x 0.2 = 0.04

0.80.2 0.8 x 0.2 =

0.16

There are TWO possibilities here; garlic bread and then salad, OR dough balls and the salad.

OR RULE= ADD PROBABILITIES

SO we add together the possibilities:

0.04 + 0.16 = 0.20

Probability of having ANY starter followed by salad is 0.20

Page 9: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Relative Frequency: An estimate for theoretical probabilityRelative Frequency = Frequency of the event

Total Number of trials

Calculate the relative frequency of the toast landing jam side up.

No. of drops

No. of jam side up

Relative Frequency

12 6 12/6 =2

Page 10: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Relative Frequency = Frequency of the event

Total Number of trials

The relative frequency of seeing a red car go past your window is 0.6.

You watch 100 cars go past your window. How many would you expect to be red?

0.6

=Frequency of the event

100

0.6 x 100 = Frequency

60 = Frequency

Page 11: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Probability Answers• 1. (a) ½• (b) 300• 2. (a) (i) 11/12 or 0.92• (ii) 8/12 or 2/3• (b) (i) 15/22 (allow 14 or 15 on top 22 or 21 on

bottom)• (ii) 5/11 or any equivalent fraction

• 3. (a) 0.4 on first branch & all other branches correct

• (b) (i) 0.16 or 4/25 or 16 %• (ii) 0.84 or 21/25 or 84 %• (a)•• (b) 15• (c) More than expected with a suitable qualification

(allow expect 10)

20

3,

20

3,

20

3,

20

5,

20

3,

20

3

Page 12: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Averages

Page 13: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

MediaMedia

nnM

od

Mod

ee

MEAMEA

NN

3, 5, 4, 3, 5, 4, 4, 6, 73, 3, 4, 4, 4, 5, 5, 6, 7

3, 3, 4, 4, 4, 5, 5, 6, 7

3+3+4+4+4+5+5+6+7=41 41

9= 4.55…

Page 14: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

0 × 20 = 0

1 × 17 = 17

2 × 15 = 30

3 × 10 = 30

4 × 9 = 36

5 × 3 = 15

6 × 2 = 12

140

Mean = sum of ALL the values sum of frequencies

Calculate the mean.

26

3

9

10

15

17

20

Frequency

4

5

3

2

1

0

Numbers of sports played

TOTAL 76

Frequency x Numbers of sports played

= 140 = 1.84 76

2105263

Page 15: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

1 × 7.5 = 7.5

8 × 12.5 = 100

12 × 17.5 = 210

10 × 22.5 = 225

3 × 27.5 = 82.5

1 × 32.5

1 × 37.5

= 32.5

= 37.5

695

7.5

12.5

17.5

22.5

27.5

32.5

37.5

Mean = sum of ALL frequency x midpoint sum of frequencies

= 695 = 19.3 36

055555…

135 ≤ d < 40

1

3

10

12

8

1

Frequency

30 ≤ d < 35

25 ≤ d < 30

20 ≤ d < 25

15 ≤ d < 20

10 ≤ d < 15

5 ≤ d < 10

Javelin distances in

metres

36TOTAL

Midpoint Frequency × midpoint

Calculate an estimate for the mean.

Page 16: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Averages Answers

1. 99.7 (allow 100)

2. (a) 131.6 (allow 131 to 132)(b) 110 £ t < 130

3. (a) 26.4 (allow 26)(b) Frequency polygon from (10, 42) to (70, 3) joined with approximately straight lines(c) Comment - eg. Higher mean on Saturday, or

Larger range on Saturday, orMore money spent on Saturday

Page 17: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

AD BREAKYear 10 Unit 1 Exam. Tuesday 9th November-

TOMORROW!!

Don’t Forget: CALCULATORS

PEN

PENCIL

RULER

REVISE

Page 18: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

CUMULATIVE

FREQUENCY

Page 19: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Cumulative Frequency

The cumulative frequency is the

RUNNING TOTAL OF FREQUENCIES

Used for finding the MEDIAN and UPPER AND LOWER QUARTILES

Page 20: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Marks in a Yr 10 Maths TestMarks Frequency Cumulative

Frequency

11-20

21-30 11

31-40 19

41-50 36

42

61-70 31

71-80 13

81-90 6

110 people scored 60 marks OR less

2 21332

68110141154160

51-60

Page 21: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Plot the top value in each group against cumulative frequency

Page 22: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Median shows that ½ of people score less

than 53 marks and ½ score more

Lower Quartile shows 25% of people scored 44 marks or

lessUpper Quartile shows 75% of people scored 65 marks or

less

Interquartile range =65 -44

=21

Page 23: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Cumulative Frequency Answers

1. (a) Any value from 55 to 57 inclusive(b) 6 ± 0.4

2. (a) 12, 27, 56, 72, 83, 90(b) Correct graph ‘increasing’ (S shape)(c) (i) Median line from 45(.5)

e.g. 26-28(ii) IQR lines from Q1 (22.5) and Q3 (67.5)

and subtract their answers (eg 16 – 20) (d) Approx 48

Page 24: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

HISTOGRAMS

Page 25: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Finding lengths given areas

• If the width is 10– What must the height be

to make an area of 25?

10

252.5As 10 x 2.5 = 25

Page 26: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Bar Graphs

• Bar graphs are great to use when you have equal class intervals:

Page 27: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Histograms

• Histograms are used when you have different sized class intervals.

• The area of the rectangle represents the frequency.

• The width is the size of the class interval.

• The height is what we call the frequency density.

Page 28: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Number of kick-ups

Frequency Frequency

Density

0-5 10

5-15 25

15-30 45

30-40 15

The table below shows the number of kick-ups completed in a competition at a local primary school.

We have different sized class intervals

Our class interval width is 5, and our frequency (area) is 10.

So, Frequency Density (height) = 10/5

2

2.53

1.5

Page 29: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Number of

kick-ups

Frequency Frequency

Density

0-5 10 25-15 25 2.515-30 45 330-40 15 1.5

Page 30: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Estimate how many students managed ten kick-ups or less.

Frequency =5 x 2.5 = 12.5

Frequency=5 x 2 = 10

So, 10 + 12.5 = 22.5We can estimate that 22.5 students made ten kick-upsor less.

Page 31: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Comparing Histograms and Bar Graphs

Page 32: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Histograms Answers

1. (a) 0.4, 0.4, 0.5, 0.1

(b) 21

2. (a) Correct histogram:

Widths: 15, 5, 5, 10, 15

Heights: 0.6, 4.2, 4.8, 3.1, 1

(b) 42

Page 33: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages
Page 34: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Percentage Increase

and Decrease

Page 35: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Increase £20 by 15%

Method 1Find 15%10% = £2 5% = £1 so 15% = £3

Now add it on to £20£20 + £3 = £23

Increase by 15% so

1.15 is the multiplier

Method 2Method 2

I need to find 115% I need to find 115% OF original amountOF original amount115% of £20 is 115% of £20 is 1.15 x £20 = £231.15 x £20 = £23

Page 36: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Decrease £60 by 5%

Method 1

Find 5% of £60

10% = £6 5% = £3

Subtract from £60

£60 - £3 = £57

Method 2

A decrease of 5% is same as 95% of original amount

So 0.95 x £60 = £57 95% of original amount means 0.95 is the multiplier

Page 37: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Compound Interest

• £1,000 in bank earns 5% interest per year. How much will you have in 3 years?

After 1 year 1000 x 1.05 = 1050

After 2 years 1050 x 1.05= 1102.50

After 3 years 1102.50 x 1.05 = 1157.63

OR 1000 x 1.05 x 1.05 x1.05=

1000 x 1.05³=£1157.63

1.05 is the multiplier!

Page 38: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages

Percentages Answers

1.£2140 (allow £140)

2.(a) 1.029

(b) 1 087 401 937 (allow 1 087 000 000)

3.1st year is £20; 2nd year is £20.80

Interest is £40.80 so Amir is wrong

4.(a) 2.04

(b) 6 (windmills)

Page 39: YEAR 10 REVISION BLASTER. GCSE MATHS REVISION UNIT 1 – all about DATA Probability Averages Cumulative frequency Histograms Percentages