Control Charts

Forecasting

Time series Analysis

Goodness of Fit Test

Binomial Distribution and Poisson Distribution

Linear systematic sampling and Circular systematic sampling

Parametric and Non- Parametric tests.

Random sampling and Non-Random sampling

Suppose an analyst studies three villages having population N1 = 50000, N2 =30000 and N3 = 40000, respectively. A stratified random sample is to be taken with a total sample size of n = 500. Determine the sample size to be selected from each village individually using the method of (i) proportional, and (ii) optimal allocation. From the previous survey, it is known that the standard deviations are S1=30, S2 =15& S3=20.

The following contingency table presents the analysis of 300 persons according to hair colour and eye color:

Test the hypothesis that there is an association between hair colour and eye colour at 5% level of significance. (Given that See Answer →

A computer engineer identifies four ways that a certain job can be done. To determine how long it takes operators to do the job when each of these methods is used, the engineer asks four operators to do the job using the method A, another four operators to do the job using method B, and so on. Each operator’s time (in seconds) is shown below:

Construct the relevant analysis of variance table and test the hypothesis that the average time of all operators are equal at 1% level of significance. (Given that F_0.01(3, 12) = 5.95)

A steel rod is subjected to stress. The tensile strength of the rod at different values of the stress are recorded. Find a relation between the tensile strength and the stress. The data is given below: Stress (kg):

A washing machine company chooses a random sample of 10 motors received from one of the suppliers. It determines the length of life of each of the motors. The results (in thousands of hours) are as follows: 4.5, 5.0, 4.2, 4.8, 4.2, 5.1, 4.0, 4.2, 4.2, 4.5 Computer a point estimate of the mean length of life of the motors received from the supplier.

A company manufactures two types of bulbs, (A and B). The manager of the company tests a random sample of 50 bulbs of type A and 60 bulbs of type B and obtains the following information:

Obtain 99% confidence interval for the difference of the average life of the two types of bulbs.(Given that Z0.005 = 2.58)

A researcher would like to test whether there is any significant difference between the proportion of safety consciousness of men and women while driving a car. In a sample of 300 men, 130 said that they used seat belts. In a sample of 300 women, 90 said that they used seat belts. Test the claim that there is no significant difference between the proportion of safety consciousness of men and women while driving a car at 5% level of significance. (Given that Z0_.025 = 1.96)

An insurance company insured 1000 scooter drivers, 3000 car drivers and 6000 truck drivers. The probabilities that the scooter, car and truck drivers meet with an accident are 0.2, 0.04 and meets with an accident. What is the probability that he is a car drivers ?

A cricket ball manufacturing company wants to check the variation in the weight of the balls. For this, 25 samples each of size 4, are selected and the weight of each ball is measured (in grams). The sum of the sample average and the sum of Sample ranges were found to be ∑ _i ²⁵ R See Answer →

A research was conducted to improve the safety plans in a factory. In this study, the accidental data of the factory for the last 50 weeks were compiled. These data are grouped into the frequency distribution as shown below:

Draw a histogram and calculate the average number of accidents per week.

A company wants to estimate, how its monthly costs are related to its monthly output rate. The data for a sample of nine months is tabulated below :

Using the data given above, perform following tasks:

(a) Calculate the best linear regression, where the monthly output is the dependent variable and monthly cost is the independent variable.

(b) Use the regression line to predict the company’s monthly cost, if they decide to produce 4 tons per month.

Given the following sample of 10 numbers

Compute Mean deviation and Standard deviation for the data given above.