A weather forecast agency predicts that the average rainfall this year will be more than 800 mm. Determine the null and alternate hypotheses along with the type of test.H0:Averagerainfall=800mm,H1:Averagerainfall≠800mmTesttype:Two−tailedtestH0:Averagerainfall≤800mm,H1:Averagerainfall≥800mmTesttype:Lower−tailedtestH0:Averagerainfall≥800mm,H1:Averagerainfall<800mmTesttype:Two−tailedtestH0:Averagerainfall≤800mm,H1:Averagerainfall>800mmTesttype:Upper−tailedtest

What is the average rain fall in IndiaQuestion 16AnswerA.1200 mmB.1000 mmC.1400 mmD.1500 mm

In Chefland, precipitation is measured using a rain gauge in millimetre per hour.Chef categorises rainfall as:LIGHT, if rainfall is less than 33 millimetre per hour.MODERATE, if rainfall is greater than equal to 33 millimetre per hour and less than 77 millimetre per hour.HEAVY if rainfall is greater than equal to 77 millimetre per hour.Given that it rains at 𝑋X millimetre per hour on a day, find whether the rain is LIGHT, MODERATE, or HEAVY.Input FormatThe first line of input will contain a single integer 𝑇T, denoting the number of test cases.Each test case consists of a single integer 𝑋X — the rate of rainfall in millimetre per hour.Output FormatFor each test case, output on a new line, whether the rain is LIGHT, MODERATE, or HEAVY.You may print each character in lowercase or uppercase. For example, LIGHT, light, Light, and liGHT, are all identical.Constraints1≤𝑇≤201≤T≤201≤𝑋≤201≤X≤20Sample 1:InputOutput412037LIGHTHEAVYMODERATEHEAVYExplanation:Test case 11: The rate of precipitation is less than 33. Thus, the rain is LIGHT.Test case 22: The rate of precipitation is greater than equal to 77. Thus, the rain is HEAVY.Test case 33: The rate of precipitation is greater than equal to 33 and less than 77. Thus, the rain is MODERATE.Test case 44: The rate of precipitation is greater than equal to 77. Thus, the rain is HEAVY.

“What is the predicted rainfall my garden will receive this Spring?” will be the question investigated.Below is the statistics for rainfall for each month of the years of 2014-2017. Use the data to explore therelationship between month and rainfall. This data was collected from the Perth Metro Weather station.Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec2014 0.2 0.0 7.4 24.6 152.6 93.6 151.2 107.0 77.0 37.0 23.8 0.02015 18.6 23.4 15.6 54.0 83.8 100.4 102.4 113.0 52.0 20.6 20.4 13.62016 15.2 0.6 16.8 68.2 112.0 109.4 139.6 123.2 68.8 37.4 14.4 10.22017 45.4 137.2 23.6 0.0 70.8 88.0 172.6 151.6 77.4 42.0 4.8 40.6Source: bom.gov.au,http://www.bom.gov.au/jsp/ncc/cdio/weatherData/av?p_nccObsCode=139&p_display_type=dataFile&p_startYear=&p_c=&p_stn_num=009225STATISTICAL INVESTIGATION PROCESS INVESTIGATION QUESTIONHow can I predict the rainfall at my house this September? DATA COLLECTION [1 mark]Explain why the data given in the table above is secondary data.Why would I expect the data collected from BOM to be accurate?Is there sufficient data for accurately answering the investigation question?Give 3 ways the selection of data be improved? DATA REPRESENTATION [1 mark]Represent this data using a suitable graph. Label the graph appropriately.

Predicting whether it will rain or not tomorrow evening at a particular time is a type of _________ problem.

Based on a sample of 30 randomly selected years, a 90% confidence interval for the mean annual precipitation in one city isfrom 123.7 cm to 129.5 cmDetermine the margin of error involved in this confidence interval.