a) Grace Floral Shop sells several types of roses for all occasions. It is known that 43% of the roses that is sold by Grace Floral Shop are Eden Roses. 12 roses are ordered to put in a bouquet (ii) Stating its parameter(s), what is the probability distribution of this variable? (iii) State the conditions that influence your choice of distribution. (iv) Calculate the probability that at most 2 of the roses were Eden Roses.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
a) Grace Floral Shop sells several types of roses for all occasions. It is known that 43% of the roses that is sold by Grace Floral Shop are Eden Roses. 12 roses are ordered to put in a bouquet
(ii) Stating its parameter(s), what is the
(iii) State the conditions that influence your choice of distribution.
(iv) Calculate the probability that at most 2 of the roses were Eden Roses.
 alt="Table 3
AREAS IN TAIL OF THE NORMAL DISTRIBUTION
The function tabulated is 1 - +(u) where (u) is the cumulative distribution function of a
standardised Normal variable u. Thus 1 - (u)= S e-u/2 du is the probability that a
v2n
standa rdised Normal variable selected at random will be greater
(-=)
1- (u)
than a value of u
(x - )
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.01
.02
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.06
.07
.08
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. 5000
.4602
.4207
.3821
.3446
.4960
.4562
.4168
.3783
.3409
.4920
.4522
.4129
.3745
.3372
.4880
.4483
:4090
.3707
.3336
.4840
.4443
.4052
.3669
.3300
.4801
.4404
.4013
.3632
.3264
0.0
.4761
.4364
3974
.3594
3228
.4721
.4325
0.1
0.2
0.3
0.4
.3936
.3557
.3192
.4681
.4286
.3897
.3520
.3156
.4641
.4247
.3859
.3483
.3121
0.5
0.6
.3085
.2743
.2420
.2119
.3050
.2709
.2389
.2090
.3015
.2676
.2358
.2061
.1788
.2981
.2643
.2327
.2033
.2946
.2611
.2296
.2005
.1736
2912
.2578
.2266
.1977
.1711
.2877
.2546
.2236
.2843
.2514
.2206
.1922
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.2483
.2177
.1894
.2776
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.2148
. 1867
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