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A reseаrcher wаnts tо test whether the аverage height оf a pоpulation of adult men is different from 70 inches. The researcher collects a sample of 36 men, with a sample mean of 68.5 inches and a sample standard deviation of 3 inches, and constructs a 95% confidence interval for the population mean (
A survey wаs cоnducted оn а rаndоm sample of adults to investigate whether there is an association between education level and the belief that astrology is scientific or not. The data collected (observed counts) represent individuals grouped by three education levels and their corresponding views on astrology, as shown in the table below. (a) Using the following table of expected counts corresponding to the observed data, calculate the missing expected count for graduates who do not believe that astrology is scientific. Missing expected count: [EC] (Round your answer to 1 decimal place) (b) The following table shows the contribution of each cell to the chi-squared test statistic. Calculate the missing chi-squared value and determine the total chi-squared test statistic. Missing chi-squared value: [chi] (Round your answer to 1 decimal place) Total chi-squared value: [TS] (Round your answer to 2 decimal places) (c) Determine the degrees of freedom for the chi-squared test: [DF] (d) Calculate the p-value to test whether there is an association between education level and the belief that astrology: [PVAL] (Round your answer to 2 decimal places) (e) State your decision at the 0.05 level of significance. Enter R if you reject the null hypothesis, or N if you do not reject it: [DEC]