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An interval estimate for the average distance car tyres lasted during their “lifetime” was reported to be 32168 km to 37892 km. This interval…

An interval estimate for the average distance car tyres lasted during their “lifetime” was reported to be 32168 km to 37892 km. This interval estimate was based on a sample of 52 typres. The variance of the lifetime was determined from previous studies to be 50865424 km squared. What level of confidence can be attributed to this interval estimate? State your answer as a percentage, correct to the nearest whole number.

the mean value of land and buildings per acre from a sample of farms is $1500 with a standard deviation of $200 the data set has a bell shaped…

the mean value of land and buildings per acre from a sample of farms is $1500 with a standard deviation of $200 the data set has a bell shaped distribution. assume the number of farms in the sample is 73 (a) use the empirical rule to estimate the number of farms whose land and building values per acre are between $1100 and $1900 (b) if 23 additional farms were sampled about how many of these additional farms would you expect to have land and building values between $1100 per acre and $1900 per acre

I added aquestionas images Q1.: What are the quartiles for the following set of numbers? Q2 What are the quartiles for the following set of numbers?

I added aquestionas images Q1.: What are the quartiles for the following set of numbers? Q2 What are the quartiles for the following set of numbers? Q3. What is the interquartile range for the following set of numbers?

he student scores in an examination are 35, 30, 25, 26, 40, 44, 36, 54, 64, 65, 75, 60, 70, 85, 90, 92, 46, 52, 63, 52. The daily pocket money (in Rs….

he student scores in an examination are 35, 30, 25, 26, 40, 44, 36, 54, 64, 65, 75, 60, 70, 85, 90, 92, 46, 52, 63, 52. The daily pocket money (in Rs.) for the same students (respectively) are 110, 110, 120, 140, 150, 140, 150, 210, 200, 140, 210, 240, 300, 260, 500, 270, 310, 550, 450, 500. Find the following:-  (a) Regression of scores on pocket money (b) Regression of pocket money on scores (c) Derive Pearson’s Correlation coefficient from the above two regression coefficients