Sunday, 11 February 2024

SAMPLING

5% level of confidence= 1.96
1%= 2.58

S. E= √(npq)
Test of significance= diff/S. E

S. Eₚ= √{pq/n}

S. E of the difference between the proportions: 
S. E(p₁ - p₂)= √{pq(1/n₁ + 1/n₂) where p= (n₁p₁ + n₂p₂)/(n₁ + n₂)
       e.g., diff/S.E or (p₁ - p₂)/S. E

S. E of mean = s.d/√n

S. E of the difference between sample means: √{σ²(1/(n₁ + 1/n₂)}

1) in 324 throws of a six-faced die odd point appeared 181 times. Would you say that die is "fair"? (5% level ) 2.1

2) 160 heads and 240 tails were obtained in tossing a coin 400 times. Find a 1% confidence interval for the probability of a head. Does this appear to be true coin ? 4

3) In a sample of 500 people from a village in Rajasthan, 280 are found to be rice eaters and the rest wheat eaters. Can we assume that both are food articles are equally popular ? (1% level ) 2.7

4) In a hospital full 480 female and 520 male babies were born in a week. Do these figures confirm the hypothesis that males and females are born in equal numbers ? (5% level) 1.265

5) 500 apples are taken to random from a large basket and 50 are found to be bad. Estimate the proportion of bad apples in the basket. 0.013

6) In a random sample of 1000 person from town A, 400 are found to be consumers of wheat. In a sample of 800 from Town B, 400 are to be found to be consumers of wheat . Do these data reveal a significant difference between Town A and town B, so far as the proportion of wheat consumers is concerned? (1% level). 4.167

7) In a random sample of 500 persons from Maharashtra, 200 are found to be consumers of vegetable oil. In another sample of 400 persons from Gujarat, 200 are found to be consumers of vegetable oil. Discuss whether the data reveal a significant difference between Maharashtra and Gujarat so far as the proportion vegetable oil consumers is concerned. (1% level)

8) Before an increase in excise duty on a tea 400 people out of sample of 500 persons were found to be tea drinkers. After an increase in the duty , 400 persons one known to be tea drinkers in a sample of 600 people. Do you think that there has been significant decrease in the consumption of the consumption of tea after the increasing in the excise duty. (1% level ). 5.2

9) A machine puts out 10 imperfect articles in a sample of 200, After the machine is overhauled it puts out 4 imperfect articles in a batch of 100. Has the machine been improved ? (5% level). 0.388

10) 500 articles from factory are examined and found to be 2% defective. 800 similar articles for a second factory are found to have only 1.5% defectives . Can it reasonably be concluded that the products of the first factory are inferior to these of the second. 0.78

11) There are 1000 students college. Out of 20000 in the whole University, in a study 200 were found smokers in the college and 1000 in the whole University. Is there a significant difference between the proportion of smokers in the college and university ? (1% level). 22.39

12) A sample of 100 iron rods is said to be drawn from a large number of rods whose lengths are normally distributed with mean 3 ft, and standard deviation 0.6 ft. If the sample mean is 3.2 ft., can the sample be regarded as a truly random sample? (1%). 3.33

13) A sample of 100 students is taken from a large population. The mean height of these students is 64 inches and the standard deviation 4 inches. Can it reasonably regarded that in the population mean height is 66 inches. (1% level)

14) 400 labourers were selected at random from a certain district. Their median income was Rs140.5 p.m with standard deviation of Rs25.2. Do you believe that the average income of the labour community in the district is Rs150 ? (1% level). 6.01

15) Random samples drawn from two countries gave the following data relating to height of adult males:
                                          Country A country B 
Mean height(in inches) 67.42 67.25 
Standard deviation 2.58 2.5 
Number of observations 1000 1200 
Is the difference between the mean height significant? (5% level). 1.55

16) A man buys 100 electric bulbs each of two well-known makes, taken at random from stock for testing purposes . He finds that 'make A' has a mean life of 1300 hours with a standard deviation of 82 hours, and 'make B' has a mean life of 1248 hours with a standard deviation of 93 hours. Discuss the significance of these results. (1% level). 4.19

17) 490 men students and 450 female students appeared at an examination in statistics. The mean and standard deviation in marks of male students are 54.3 and 17.5 respectively whereas those of female students are 50.6 and 18.0. Is there a significant difference in marks of male and female students? (1% level). 3.19

18) In a survey of buying, 400 women shoppers are chosen at random in supermarket A located in a certain section of Bombay city. Their average monthly food expenditure is Rs400 with a standard deviation of Rs 12. For 400 women shoppers chosen at random in supermarket B in another section of the city, the average monthly food expenditure is Rs395 with a standard deviation of Rs15. Test at a level of 0.05, whether the average food expenditure of the two populations of shoppers from which the samples were obtained are equal. 5.21

19) A potential buyer of electric bulbs bought 200 bulbs , 100 bulbs each of two brands. Upon testing these he found that brand A had a mean life of 1210 hours with a standard deviation 40 hours whereas brand B had a mean life of 1250 hours with a standard deviation of 60 hours. Can the buyer be quiet certain that the two brands differ significantly in quality ? (1% level). 5.55





Thursday, 8 February 2024

t-test

EXERCISE - A

1) A Company has been producing steel tubes of mean inner diameter of 2cm. A sample of 10 tubes gives an inner diameter of 2.01cm and a variance of 0.04cm². Is the difference in the values of means significant ? (Given t₉(0.05)= 2.262).      is not significant

2) A mechanist is making engine parts with axle diameter of 0.7 inch. A random sample of 10 parts shows mean diameter 0.742 inch with a standard division of 0.04 inch. On the basis of this sample, would you say that the work is inferior ? (Given t₉(0.05)= 2.262).          3.15, the null hypothesis is rejected at 5% level of significance or the alternative hypothesis is accepted at 5% level of significance. Hence , sample mean differs significantly from population means e.g, the work is failure

3) A soap manufacturing company was distributing a particular brand of a soap through a large number of retail shops. Before a heavy advertisement campaign, the mean sales per week per shop was 140 dozens . After the campaign a sample of 26 shops was taken and mean sales was found to be 147 dozens with standard deviation 16. Can you considere the advertisement effective ?( given t₂₅(0.05)= 2.06).       2.187, we reject the null hypothesis and accept the alternative hypothesis. Hence, we conclude that advertisement is effective for sales .

4) A random sample of size 16 has 53 as mean. The sum of the squares of the divisions taken from mean is 150. Can this sample be regarded as taken from the population having 56 as mean ? given t₁₅(0.01)= 2.95).       -3.794, we reject the null hypothesis. Consequently, the alternative hypothesis accepted at 0.01 level of significance. Hence , the sample is not taken from the population having 56 as mean .

5) A random sample of 17 values from a normal population has a mean of 105cm and the sum of the squares of the deviations from this mean is 1225cm².  Is the assumption of a mean of 110cm for the normal population reasonable ? Test under 5% and 1% levels of significance. Also, obtain the 95% and 99% confidence limits. (Given t₁₆(0.05)= 2.11) and t₁₆(0.01)= 2.921).       Yes at 1% level

6) Ten students are selected at random from a college and their heights are found to be 100, 104, 108, 110,118, 120, 122, 124, 126 and 128cms. In the light of these data, discuss the suggestion that the mean height of the Student of the college is 110cms (given t₉(0.05)= 2.262).         Yes

7) A random sample of 10 boys had the following I. Q's: 70, 120, 110, 88, 83, 95, 98, 107, 100. Do these data support the assumption of a population mean IQ of 100 ? Find a reasonable range in which most of them IQ. values of sample of 10 boys lie. (Given t₉(0.05)= 2.262)


Miscellaneous -1

1) Ten cartons are taken at random from an automatic filling machine. The mean net  weight of the cartons is 11.8 kg and the standard deviation 0.15 kg. Does the sample mean differ significantly from the intended weight of 12 kg? (Given t₉(0.05)= 2.262).      Yes

2) A machine is designed to produce insulating washers for electrical devices of average thickness of 0.025cm. A random sample of 10 washers was found to have an average thickness of 0.024 cm with a standard deviation of 0.002cm. test the significance of the deviation (Given t₉(0.05)= 2.262).        Not significant

3) A random sample of size 25 from a normal population has the mean 47.5 and standard deviation 8.4. Does this information refute the claim that the mean of the population is 42%. (Given t₂₄(0.05)= 2.06).        Yes

4) A process of marketing certain bearings is under control if the diameter of the bearings have the mean 0.5cm. What can we say about this process if a sample of 10 of these bearings has a mean diameter of 0.506 cm and standard deviation of 0.004 cm ? (Given t₉(0.05)= 2.262).         Process is not under control

5) A machine is supposed to produce washers of mean thickness 0.12cm. A sample of 10 washers was found to have a mean thickness of 0.128 and standard deviation 0.008.  test whether the machine is working in proper order at 5% level of significance. (Given t₉(0.05)= 2.262).     No

6) A random sample of 16 values from a normal population showed a mean of 41.5 and sum of squares of deviations from mean equal to 135. Can it be assumed that the mean of the population is 43.5 ? (Given t₁₅(0.01)= 2.95).     Yes

7) A sample of size 9 from a normal population mean= 15.8 and s²= 10.3. Find 99% confidence interval for the population mean. (Given t₈(0.01)= 3.335).     (11.99,19.61)

8) A random sample of size 16 has 53 as mean. The sum of the squares of deviations taken from mean is 150. Find 95% and 99% confidence interval for population mean. (Givent₁₅(0.01)= 2.95 and t₁₅(0.05)= 2.13).       (51.32,54.68),(50.67,55.33)

9) A random sample of 16 values from a normal population showed a mean of 41.5 inches and the sum of squares of deviations from this mean equal to 135 square inches. Show that the assumption of a mean of 43.5 inches for a population is not reasonable. Obtained 95% and 99% confidence intervals for the same. (Given t₁₅(0.05)=2.131) and t₁₅(0.01)= 2.947).        (39.902,43.098),(39.29,43.71)

10) The annual rainfall at a certain place is normally distributed with mean 45cm. The rainfall during the last 5 years are 48cm, 42 cm, 40cm, 44cm and 43cm. Can we conclude that the average rainfall during the last 5 years is less than the normal rainfall ? (Given t₄0.05)= 2.132).      No

11) The height of 8 males participating in an athletic championship are found to be 175 cm, 168cm, 170cm, 167cm, 160cm, 173cm and 168 cm. Can we conclude that the average height is greater than 165cm ?(given t₇(0.05)= 1.895).       Yes

12) The mean weakly sells of chocolate bar in general stores was 146.3 bars per store. After an advertising the mean weekly sales in 22 stores for typical week increased to 153.7 bars and showed a standard deviation of 17.2. Was the advertising campaign successful ? (Given t₂₁(0.05)= 2.08).         Yes

13) The foreman of ABC mining company has estimated the average quantity of iron ore extracted to be 36.8 tonnes per shift and the sample standard deviation to be 2.8 tonnes per shift, based upon a random selection of 4 shifts. Consider a 90% confidence interval around this estimate. (Given t₃(0.1)= 2.353).       (34.5, 39.10)

14) A random sample of size 20 from a normal population gives a sample mean of 42 and standard division of 6. Test the hypothesis that the population mean is 44. (give t₁₉(0.05)= 2.09).        True 

15) A random sample of 10 boys had the following I. Q:  70, 120, 110, 101, 88, 83, 95, 93, 107, 100. Do thesr data support the assumption of a population mean IQs of 100? (Given t₉(0.05)=2.262). also, find the 95% confidence interval for the population mean.       Yes (87.494, 107.906)

16) The manufacturer of a certain make of electric bulbs claims that his bulbs have a mean life of 25 months with a standard deviation of 5 months. A random sample of 12 such bulbs gave the following values: 
life in months: 24  26  32  28  20  18  23  27  29  34   20   28 
Can you regard the producer's claim to be valid at 1% level of significance ?     Yes



EXERCISE - B

1) For the following data examination if the means of two samples differ significantly:
                  size   means    standard deviation 
sample I:   6         40                8 
sample II:  5         50              10 
(Given  t₉(0.05)=2.262).               is not differ significantly

2) Two batches of the same product are tested for their mean life. Assumption that the lives of the product follows a normal distribution with an unknown variance, test the hypothesis that the mean life is the same for both the branches, given the following information :
Batch  sam-size mean life(hrs)   sd
I              10            750                  12
II              8             820                  14
(Use t₁₆+0.05)=2.2120).                Yes

3) Samples of two types of electric light bulbs were tested for length of life and following data were obtained:
             Type-I.    Type -II
S size:        8            7
S. means : 1234   1036
S. SD          36         40
Is the difference in the mass sufficient to warrant that type I is superior to type II regarding length of life ? (Given t₁₃(0.05)= 2.216).     No

4) Two different types of drugs A and B were tried on certain patients for increasing weight,5 persons were given A 7 persons were given drug B. The increase the weights in pounds is given below:
Drug A: 8    12     13    9     3
Drug B: 10    8     12   15    6    8    11 
Do the two drugs differ significantly with regard to their effect in increasing the weight (given t₁₀(0.05)= 2.23).          No

5) The height in inches of 6 randomly chosen sailors and 10 randomly chosen soldiers are given as under :
Sailors    Soldiers
  63            61
  65            62
  68            65
  69            66
  71            69
  72            69
                   70
                   71
                   72 
                   73 
Does these figures show that the soldiers are on an average shorter than sailors? (Given t₁₄(0.05)= 2.15).                Yes

6) The mean life of a sample of 10 bulbs was found to be 1456 hours with standard deviations of 423 hours. A second sample of 17 bulbs chosen from a different batch showed a mean in life of 1280 hours with standard deviation of 398 hours. Is there a significant difference between the means of the two batches ?     No

7) Strength tests carried out on samples of 2 years spun to the same count gave the following results:
 Size of sample   samplemean  Sam-size  sample vari.
  Yarn A                      4                   50               42
  Yarn B                      9                   42               56
The strengths are expressed in kg. Is the difference in mean strengths significant of real difference in the mean strengths of the sources from which samples are drawn?   Not significant

8) Samples of two types of electric bulbs were tested for length of life and the following data were obtained:
                                                    Type I    Type II 
No. Of bulbs in the sample         8             7
Mean(in hours)                          1134     1024
S. D(in hours):                             35           40
Is the difference in the sample means significant? (Given t₁₃(0.05)= 2.16).     Significant

9) I. Q test on two groups of boys and girls gave the following results:
Girls: mean=78    n= 50    s.d= 10
Boys : mean=73 n= 100   s.d= 15
Is there a significant difference in the mean scores of boys and girls? (Given t₂₃(0.05)= 2.07)