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2 e blank to complete the statement. If we do not reject the null hypothesis when the statement in the alternative hypothesis is true, we have made a Type error. If we do not reject the null hypothesis when the statement in the alternative hypothesis is true, we have made a Type error. Time Remaining: 01:28:10 Next4 According to a report, the standard deviation of monthly cell phone bills was $4.97 in 2017. A researcher suspects that the standard deviation of monthly cell phone bills is different today. (a) State the null and alternative hypotheses in words. (b) State the null and alternative hypotheses symbolically. c) Explain what it would mean to make a Type I error. (d) Explain what it would mean to make a Type II error. (a) State the null hypothesis in words. Choose the correct answer below. O A. The standard deviation of monthly cell phone bills is different from $4.97. O B. The standard deviation of monthly cell phone bills is $4.97 O C. The standard deviation of monthly cell phone bills is less than $4.97. O D. The standard deviation of monthly cell phone bills is greater than $4.97. State the alternative hypothesis in words. Choose the correct answer below. O A. The standard deviation of monthly cell phone bills is greater than $4.97. O B. The standard deviation of monthly cell phone bills is $4.97. O C. The standard deviation of monthly cell phone bills is different from $4.97. O D. The standard deviation of monthly cell phone bills is less than $4.97. (b) State the hypotheses symbolically Ho : V V $ Hy : V V $ (Type integers or decimals. Do not round.) (c) What would it mean to make a Type I error? O A. The sample evidence did not lead the researcher to believe the standard deviation of monthly cell phone bills is different from $4.97 when, in fact, the standard deviation of bills is different from $4.97. O B. The sample evidence led the researcher to believe the standard deviation of monthly cell phone bills is higher than $4.97 when, in fact, the standard deviation of bills is $4.97 O C. The sample evidence led the researcher to believe the standard deviation of monthly cell phone bills is different from $4.97 when, in fact, the standard deviation of bills is $4.97. O D. The sample evidence did not lead the researcher to believe the standard deviation of monthly cell phone bills is higher than $4.97 when, in fact, the standard deviation of bills is higher than $4.97. (d) What would mean to make a Type II error? O A. The sample evidence led the researcher to believe the standard deviation of monthly cell phone bills is different from $4.97 when, in fact, the standard deviation of bills is $4.97. O B. The sample evidence did not lead the researcher to believe the standard deviation of monthly cell phone bills is different from $4.97 when, in fact, the standard deviation of bills is different from $4.97. O C. The sample evidence led the researcher to believe the standard deviation of monthly cell phone bills is different from $4.97 when, in fact, the standard deviation of bills is different from $4.97. O D. The sample evidence did not lead the researcher to believe the standard deviation of monthly cell phone bills is higher than $4.97 when, in fact, the standard deviation of bills is higher than $4.97. Time Remaining: 01:26:57 Next